{ "name": "Premium Skills", "description": "Top-quality skills (score >= 70) from Agent Skills Directory", "version": "2026.07.21", "generated_at": "2026-07-21T08:40:25.943257+00:00", "source": "https://github.com/dmgrok/agent-plugins", "catalog_url": "https://cdn.jsdelivr.net/gh/dmgrok/agent-plugins@main/catalog.json", "website": "https://dmgrok.github.io/agent-plugins/", "total_skills": 600, "skills": [ { "id": "github/acquire-codebase-knowledge", "name": "acquire-codebase-knowledge", "description": "Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like \"map this codebase\", \"document this architecture\", \"onboard me to this repo\", or \"create codebase docs\". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.", "provider": "github", "category": "development", "license": "MIT", "compatibility": "Cross-platform. Requires Python 3.8+ and git. Run scripts/scan.py from the target project root.", "last_updated_at": "2026-04-14T00:29:57Z", "metadata": { "version": "1.3", "enhancements": [ "Multi-language manifest detection (25+ languages supported)", "CI/CD pipeline detection (10+ platforms)", "Container & orchestration detection", "Code metrics by language", "Security & compliance config detection", "Performance testing markers" ] }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/acquire-codebase-knowledge", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/acquire-codebase-knowledge/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "knowledge", "acquire", "codebase" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 98, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/adobe-illustrator-scripting", "name": "adobe-illustrator-scripting", "description": "Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-28T00:09:54Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/adobe-illustrator-scripting", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/adobe-illustrator-scripting/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "document", "adobe", "illustrator", "scripting" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 54, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/ai-team-orchestration", "name": "ai-team-orchestration", "description": "Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T07:33:23Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/ai-team-orchestration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ai-team-orchestration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "team", "orchestration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/anti-ui-slop", "name": "anti-ui-slop", "description": "Stop Codex, GitHub Copilot, Claude Code, and Cursor from shipping generic UI. Use UIZZE\u2019s public catalogue of 800,000+ real web and iOS screens to extract product-specific design decisions and enforce a hard finish gate for web and iOS interfaces.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-18T21:34:19Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/anti-ui-slop", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/anti-ui-slop/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "github", "git", "pr", "ci", "design", "extract", "anti", "slop" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arduino-azure-iot-edge-integration", "name": "arduino-azure-iot-edge-integration", "description": "Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:15:42Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arduino-azure-iot-edge-integration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arduino-azure-iot-edge-integration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "arduino", "azure", "iot", "edge", "integration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 83, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-ai-provider-integration", "name": "arize-ai-provider-integration", "description": "Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-ai-provider-integration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-ai-provider-integration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "arize", "provider", "integration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-annotation", "name": "arize-annotation", "description": "Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.", "provider": "github", "category": "development", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-annotation", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-annotation/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "arize", "annotation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-dataset", "name": "arize-dataset", "description": "Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.", "provider": "github", "category": "development", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-dataset", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-dataset/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "test", "cli", "arize", "dataset" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-evaluator", "name": "arize-evaluator", "description": "Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile with an AI integration.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-evaluator", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-evaluator/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "arize", "evaluator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-experiment", "name": "arize-experiment", "description": "Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-experiment", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-experiment/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "test", "cli", "arize", "experiment" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-instrumentation", "name": "arize-instrumentation", "description": "Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.", "provider": "github", "category": "development", "license": null, "compatibility": "Python and TypeScript/JavaScript apps use openinference-instrumentation packages for auto-instrumentation. Java and Go apps use the OpenTelemetry SDK with manual OpenInference spans. See https://arize.com/docs/PROMPT.md for setup details.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-instrumentation", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-instrumentation/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "art", "arize", "instrumentation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-link", "name": "arize-link", "description": "Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-link", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-link/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "cli", "arize", "link" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-prompt-optimization", "name": "arize-prompt-optimization", "description": "Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.", "provider": "github", "category": "data", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-prompt-optimization", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-prompt-optimization/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "cli", "extract", "arize", "prompt", "optimization" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/arize-trace", "name": "arize-trace", "description": "Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.", "provider": "github", "category": "development", "license": null, "compatibility": "Requires the ax CLI and a configured Arize profile.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/arize-trace", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-trace/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "cli", "arize", "trace" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/aspire", "name": "aspire", "description": "Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-09T01:46:16Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/aspire", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aspire/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "mcp", "cli", "aspire" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 162, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/audit-integrity", "name": "audit-integrity", "description": "Shared audit integrity framework for all AppSec agents \u2014 enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, \u22658 threshold), and a self-learning system with lesson/memory governance for security analysis agents.", "provider": "github", "category": "data", "license": null, "compatibility": "Cross-platform. Works with any language or framework analyzed by AppSec agents.", "last_updated_at": "2026-04-28T01:46:05Z", "metadata": { "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/audit-integrity", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/audit-integrity/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "audit", "integrity" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/aws-cloudwatch-investigation", "name": "aws-cloudwatch-investigation", "description": "Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage.", "provider": "github", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-06-29T00:53:30Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/aws-cloudwatch-investigation", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aws-cloudwatch-investigation/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "aws", "cloudwatch", "investigation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 22, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/azure-architecture-autopilot", "name": "azure-architecture-autopilot", "description": "Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep.\nWhen to use this skill: - \"Create X on Azure\", \"Set up a RAG architecture\" (new design) - \"Analyze my current Azure infrastructure\", \"Draw a diagram for rg-xxx\" (existing analysis) - \"Foundry is slow\", \"I want to reduce costs\", \"Strengthen security\" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T23:20:38Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/azure-architecture-autopilot", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-architecture-autopilot/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "design", "analysis", "azure", "architecture", "autopilot" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 118, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/azure-devops-cli", "name": "azure-devops-cli", "description": "Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-29T23:47:06Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/azure-devops-cli", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-devops-cli/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "cli", "art", "azure", "devops" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 21, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/azure-pricing", "name": "azure-pricing", "description": "Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.", "provider": "github", "category": "data", "license": null, "compatibility": "Requires internet access to prices.azure.com and learn.microsoft.com. No authentication needed.", "last_updated_at": "2026-03-05T10:53:41Z", "metadata": { "author": "anthonychu", "version": "1.2" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/azure-pricing", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-pricing/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "api", "azure", "pricing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 137, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/azure-smart-city-iot-solution-builder", "name": "azure-smart-city-iot-solution-builder", "description": "Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:15:42Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/azure-smart-city-iot-solution-builder", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-smart-city-iot-solution-builder/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "design", "art", "azure", "smart", "city", "iot", "solution", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 83, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/batch-files", "name": "batch-files", "description": "Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to \"create a batch file\", \"write a .bat script\", \"automate a Windows task\", \"CMD scripting\", \"batch automation\", \"scheduled task script\", \"Windows shell script\", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T01:29:28Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/batch-files", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/batch-files/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "batch", "files" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/bench-read", "name": "bench-read", "description": "Read artifacts from the shared bench \u2014 the workspace where desks leave findings, verdicts, and work products for each other and the operator.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-07-19T02:56:18Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/bench-read", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/bench-read/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "art", "bench", "read" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/cli-mastery", "name": "cli-mastery", "description": "Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say \"cliexpert\" to start.", "provider": "github", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-03-09T04:49:23Z", "metadata": { "version": "1.2.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/cli-mastery", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/cli-mastery/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "mcp", "cli", "art", "mastery" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 134, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/cloud-design-patterns", "name": "cloud-design-patterns", "description": "Cloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-12T00:53:00Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/cloud-design-patterns", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/cloud-design-patterns/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "design", "cloud", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 131, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/code-tour", "name": "code-tour", "description": "Use this skill to create CodeTour .tour files \u2014 persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: \"create a tour\", \"make a code tour\", \"generate a tour\", \"onboarding tour\", \"tour for this PR\", \"tour for this bug\", \"RCA tour\", \"architecture tour\", \"explain how X works\", \"vibe check\", \"PR review tour\", \"contributor guide\", \"help someone ramp up\", or any request for a structured walkthrough through code. Supports 20 developer personas (new joiner, bug fixer, architect, PR reviewer, vibecoder, security reviewer, and more), all CodeTour step types (file/line, selection, pattern, uri, commands, view), and tour-level fields (ref, isPrimary, nextTour). Works with any repository in any language.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-12T23:52:59Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/code-tour", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/code-tour/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "code", "tour" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 99, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/codebase-memory-mcp", "name": "codebase-memory-mcp", "description": "Use when a configured codebase-memory-mcp server can assist with graph-backed code discovery, architecture orientation, symbol lookup, callers and callees, dependency or data-flow tracing, impact analysis, unfamiliar modules, or an explicit Codebase Memory request.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T20:21:39Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/codebase-memory-mcp", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/codebase-memory-mcp/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "ci", "mcp", "analysis", "codebase", "memory" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/codeql", "name": "codeql", "description": "Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-18T00:15:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/codeql", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/codeql/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "cli", "analysis", "codeql" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 125, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/commit-message-storyteller", "name": "commit-message-storyteller", "description": "Analyzes git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed \u2014 following Conventional Commits format. Use when asked to \"write a commit message\", \"generate a commit\", \"describe my changes\", \"what should I commit this as\", \"commit this\", \"summarize my diff\", or \"help me commit\". Works with git diff output, staged files, or plain descriptions of changes.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T04:22:16Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/commit-message-storyteller", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/commit-message-storyteller/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "git", "commit", "message", "storyteller" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 78, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/content-management-systems", "name": "content-management-systems", "description": "Workflow for building and modifying content management systems across WordPress, Shopify, Wix, Squarespace, Drupal, WooCommerce, Joomla, HubSpot CMS Hub, Webflow, Adobe Experience Manager, and similar platforms. Use when working on CMS themes, plugins, apps, modules, admin panels, media uploads, content models, editors, markdown pipelines, or static export workflows.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T01:12:15Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/content-management-systems", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/content-management-systems/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "content", "management", "systems" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 78, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/convert-excel-to-md", "name": "convert-excel-to-md", "description": "Converts Excel (.xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .xlsx file \u2014 even if they don't say \"convert\" or \"markdown\" explicitly. This includes requests to \"read\", \"summarize\", \"review\", \"extract data from\", \"compare\", \"chart\", or \"analyze\" a spreadsheet, workbook, budget, data export, or tracker. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .xlsx content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of Excel workbooks. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills \u2014 convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md \u2014 so no file type is silently skipped.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T23:06:49Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/convert-excel-to-md", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/convert-excel-to-md/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pdf", "docx", "xlsx", "pr", "ci", "art", "document", "extract", "convert", "excel" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 5, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/convert-pdf-to-md", "name": "convert-pdf-to-md", "description": "Converts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file \u2014 even if they don't say \"convert\" or \"markdown\" explicitly. This includes requests to \"read\", \"summarize\", \"review\", \"extract data from\", \"compare\", or \"analyze\" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of PDF documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills \u2014 convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md \u2014 so no file type is silently skipped.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T23:06:49Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/convert-pdf-to-md", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/convert-pdf-to-md/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pdf", "docx", "xlsx", "pr", "ci", "document", "extract", "convert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 5, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/convert-word-to-md", "name": "convert-word-to-md", "description": "Converts Word (.docx) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .docx file \u2014 even if they don't say \"convert\" or \"markdown\" explicitly. This includes requests to \"read\", \"summarize\", \"review\", \"extract data from\", \"compare\", or \"analyze\" a Word document, resume, report, contract, or proposal. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .docx content directly or write ad-hoc conversion code. Also use this skill for batch requests involving a whole folder of Word documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills \u2014 convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md \u2014 so no file type is silently skipped.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T23:06:49Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/convert-word-to-md", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/convert-word-to-md/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pdf", "docx", "xlsx", "pr", "ci", "document", "extract", "convert", "word" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 5, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/copilot-pr-autopilot", "name": "copilot-pr-autopilot", "description": "Copilot left 14 review comments on your PR \u2014 half are nits. Hours of fix \u2192 reply \u2192 resolve \u2192 re-request, and each round lands MORE comments. This skill runs loop engineering: auto-triggers Copilot Code Review via GraphQL (no @copilot mention), triages every open thread (Copilot, humans, advanced-security) with a fix / decline / escalate rubric, dispatches parallel fix sub-agents that obey the repo build/test/lint conventions, commits per iteration, replies+resolves citing the pushed SHA, then re-triggers until HEAD is reviewed with zero threads awaiting the agent's reply (remaining open threads are explicit hand-offs to the human \u2014 escalated declines, design tradeoffs). You merge a clean PR; the bot runs it. Trigger phrases: \"address copilot comments\", \"run a copilot review loop\", \"fix this PR\", \"iterate on copilot feedback\". Repo-agnostic, gh CLI + PowerShell. Full autopilot needs repo Triage/Write; external PR authors get single-iteration mode plus manual re-trigger (UI \ud83d\udd04 or substantive-commit push).", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-01T01:09:58Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/copilot-pr-autopilot", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-pr-autopilot/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "lint", "cli", "design", "merge", "copilot", "autopilot" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 20, "maintenance_status": "active", "quality_score": 100, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/create-implementation-plan", "name": "create-implementation-plan", "description": "Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-30T00:36:03Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/create-implementation-plan", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-implementation-plan/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "design", "create", "implementation", "plan" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 21, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/creating-oracle-to-postgres-migration-bug-report", "name": "creating-oracle-to-postgres-migration-bug-report", "description": "Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-03-10T23:46:06Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/creating-oracle-to-postgres-migration-bug-report", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/creating-oracle-to-postgres-migration-bug-report/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "document", "creating", "oracle", "postgres", "migration", "bug", "report" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 132, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/creating-oracle-to-postgres-migration-integration-tests", "name": "creating-oracle-to-postgres-migration-integration-tests", "description": "Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-14T01:06:58Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/creating-oracle-to-postgres-migration-integration-tests", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/creating-oracle-to-postgres-migration-integration-tests/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "art", "creating", "oracle", "postgres", "migration", "integration", "tests" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 7, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/data-breach-blast-radius", "name": "data-breach-blast-radius", "description": "Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sourced verbatim from GDPR Art. 83, CCPA \u00a7 1798.155(a), and HIPAA 45 CFR \u00a7 160.404. Cost benchmarks from IBM Cost of a Data Breach Report (annually updated). All citations in references/SOURCES.md for verification. Use when asked: \"assess breach impact\", \"what data could be exposed\", \"calculate blast radius\", \"data exposure analysis\", \"how bad would a breach be\", \"quantify data risk\", \"sensitive data inventory\", \"data flow security audit\", \"pre-breach assessment\", \"worst-case breach scenario\", \"breach readiness\", \"data risk report\", \"/data-breach-blast-radius\". For any stack handling user data, health records, or financial information. Output labels law-sourced figures (exact) vs heuristic estimates (planning only). Does not replace legal counsel.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T04:26:20Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/data-breach-blast-radius", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/data-breach-blast-radius/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "analysis", "data", "breach", "blast", "radius" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/datanalysis-credit-risk", "name": "datanalysis-credit-risk", "description": "Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-03-02T08:31:21Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/datanalysis-credit-risk", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/datanalysis-credit-risk/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "datanalysis", "credit", "risk" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 141, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/dependabot", "name": "dependabot", "description": "Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-15T00:56:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/dependabot", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dependabot/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "ci", "mcp", "dependabot" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/desk-journal", "name": "desk-journal", "description": "Write, append, or read desk journal entries. The journal is persistent memory \u2014 what survives session boundaries. A good entry has: what was done, current state, next step.", "provider": "github", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-07-17T18:15:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/desk-journal", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/desk-journal/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "desk", "journal" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 3, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/desk-open", "name": "desk-open", "description": "Create and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-17T20:38:18Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/desk-open", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/desk-open/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "desk", "open" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 3, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/doc-and-modernize", "name": "doc-and-modernize", "description": "Two related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) \u2014 use it whenever the user wants to understand, map, document, research, or onboard onto a codebase (\"research this repo\", \"write up the architecture\", \"do an architecture deep dive\", \"document how this codebase works\", \"map the system design\", \"create an onboarding doc\"). Modernization mode generates a phased plan to modernize, migrate, upgrade, or rewrite a legacy system (\"modernize this\", \"plan the migration\", \"how would we rewrite this\", \"how do we get off this legacy stack\"); if no architecture document exists yet it first runs Documentation mode, then continues straight through to the plan. It assumes the legacy stack may be dead, runs a time-boxed feasibility spike, and picks the highest achievable rung on a safety ladder instead of demanding a fully-green legacy CI gate up front.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-10T00:30:32Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/doc-and-modernize", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/doc-and-modernize/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "document", "doc", "and", "modernize" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 11, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/dotnet-mcp-builder", "name": "dotnet-mcp-builder", "description": "Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 1.x NuGet packages. Especially helps with cases the model often gets wrong without guidance \u2014 stale preview versions (it tends to pick 0.3 or 0.4 preview), MCP Apps (interactive UI rendered in the host), elicitation URL mode, per-session HTTP wiring, OAuth and reverse-proxy deploy specifics, and debugging concrete MapMcp / STDIO / Streamable-HTTP errors. Also covers the routine work \u2014 STDIO and Streamable HTTP transports (SSE is deprecated), tools, prompts, resources, sampling, roots, completions, logging \u2014 and a basic .NET MCP client. Trigger when the user says or implies any .NET MCP server work: ModelContextProtocol, McpServerTool, MapMcp, WithStdioServerTransport, \"MCP server in C#\", \"MCP tool in dotnet\", \"expose this as MCP\", or names a primitive (prompt/resource/elicitation/MCP App) in a .NET context. Skip for MCP work in other languages.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-10T23:35:26Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/dotnet-mcp-builder", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-mcp-builder/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "mcp", "cli", "dotnet", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/dotnet-timezone", "name": "dotnet-timezone", "description": ".NET timezone handling guidance for C# applications. Use when working with TimeZoneInfo, DateTimeOffset, NodaTime, UTC conversion, daylight saving time, scheduling across timezones, cross-platform Windows/IANA timezone IDs, or when a .NET user needs the timezone for a city, address, region, or country and copy-paste-ready C# code.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-23T00:30:33Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/dotnet-timezone", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-timezone/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "dotnet", "timezone" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 120, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/doublecheck", "name": "doublecheck", "description": "Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-12T03:27:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/doublecheck", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/doublecheck/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "ci", "extract", "doublecheck" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 131, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/draw-io-diagram-generator", "name": "draw-io-diagram-generator", "description": "Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-03-27T00:15:53Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/draw-io-diagram-generator", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/draw-io-diagram-generator/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "art", "draw", "diagram", "generator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 116, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/drawio", "name": "drawio", "description": "Generate draw.io diagrams as .drawio files and export to PNG/SVG/PDF with embedded XML", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-01T00:29:26Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/drawio", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/drawio/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pdf", "drawio" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 81, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/efcore-d2-db-diagram", "name": "efcore-d2-db-diagram", "description": "Generate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based database diagram, table relationships, owned types, many-to-many join tables, indexes and constraints. DO NOT USE FOR: runtime debugging, database migration execution, schema deployment, SQL performance tuning, or draw.io diagrams.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-25T01:34:34Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/efcore-d2-db-diagram", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/efcore-d2-db-diagram/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "visual", "efcore", "diagram" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 57, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/eval-driven-dev", "name": "eval-driven-dev", "description": "Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.\n", "provider": "github", "category": "ml-ai", "license": "MIT", "compatibility": "Python 3.10+", "last_updated_at": "2026-04-28T01:27:48Z", "metadata": { "version": "0.8.4", "pixie-qa-version": ">=0.8.4,<0.9.0", "pixie-qa-source": "https://github.com/yiouli/pixie-qa/" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/eval-driven-dev", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/eval-driven-dev/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "eval", "driven", "dev" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/excalidraw-diagram-generator", "name": "excalidraw-diagram-generator", "description": "Generate Excalidraw diagrams from natural language descriptions. Use when asked to \"create a diagram\", \"make a flowchart\", \"visualize a process\", \"draw a system architecture\", \"create a mind map\", or \"generate an Excalidraw file\". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-02-03T06:51:39Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/excalidraw-diagram-generator", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/excalidraw-diagram-generator/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "json", "pr", "art", "visual", "excalidraw", "diagram", "generator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 168, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/fabric-lakehouse", "name": "fabric-lakehouse", "description": "Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-17T19:18:43Z", "metadata": { "author": "tedvilutis", "version": "1.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/fabric-lakehouse", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/fabric-lakehouse/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "fabric", "lakehouse" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 153, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/finnish-humanizer", "name": "finnish-humanizer", "description": "Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to \"humanize\", \"naturalize\", or \"remove AI feel\" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-02-16T15:01:12Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/finnish-humanizer", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/finnish-humanizer/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "finnish", "humanizer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 154, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/flowstudio-power-automate-build", "name": "flowstudio-power-automate-build", "description": "Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests \u2014 all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription \u2014 see https://mcp.flowstudio.app", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-11T01:28:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/flowstudio-power-automate-build", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-build/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "test", "mcp", "flowstudio", "power", "automate", "build" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/flowstudio-power-automate-debug", "name": "flowstudio-power-automate-debug", "description": "Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription \u2014 see https://mcp.flowstudio.app", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-11T01:28:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/flowstudio-power-automate-debug", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-debug/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "mcp", "flowstudio", "power", "automate", "debug" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/flowstudio-power-automate-mcp", "name": "flowstudio-power-automate-mcp", "description": "Foundation skill for Power Automate via FlowStudio MCP \u2014 auth setup, the reusable MCP helper (Python + Node.js), tool discovery via `list_skills` / `tool_search`, and oversized-response handling. Load this skill first when connecting an agent to Power Automate. For specialized workflows, load `flowstudio-power-automate-build`, `flowstudio-power-automate-debug`, `flowstudio-power-automate-monitoring` (Pro+), or `flowstudio-power-automate-governance` (Pro+) \u2014 each contains the workflow narrative, this skill provides the plumbing they all rely on. Requires a FlowStudio MCP subscription or compatible server \u2014 see https://mcp.flowstudio.app", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-11T01:28:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/flowstudio-power-automate-mcp", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-mcp/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "mcp", "flowstudio", "power", "automate" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/fluentui-blazor", "name": "fluentui-blazor", "description": "Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with \"Fluent\". Also use when troubleshooting missing providers, JS interop issues, or theming.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-16T21:43:41Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/fluentui-blazor", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/fluentui-blazor/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "fluentui", "blazor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 154, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/foundry-hosted-agent-copilotkit", "name": "foundry-hosted-agent-copilotkit", "description": "Ongoing development guidance for agentic web apps that pair a CopilotKit frontend with Microsoft Agent Framework agents on Azure AI Foundry hosted agents over the AG-UI protocol - add and gate agent tools, wire human-in-the-loop approvals, build generative UI and shared state, debug the event stream, upgrade pre-1.0 packages safely, and deploy hosted agent updates.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-09T00:50:35Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/foundry-hosted-agent-copilotkit", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/foundry-hosted-agent-copilotkit/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "foundry", "hosted", "agent", "copilotkit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/freecad-scripts", "name": "freecad-scripts", "description": "Expert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-04-10T01:02:57Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/freecad-scripts", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/freecad-scripts/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "art", "freecad", "scripts" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 102, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/game-engine", "name": "game-engine", "description": "Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.", "provider": "github", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-02-23T04:31:59Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/game-engine", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/game-engine/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "game", "engine" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 148, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/gdpr-compliant", "name": "gdpr-compliant", "description": "Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as \"is this GDPR-compliant?\". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-30T23:53:25Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/gdpr-compliant", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gdpr-compliant/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "api", "design", "art", "email", "gdpr", "compliant" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 112, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/geofeed-tuner", "name": "geofeed-tuner", "description": "Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management \u2014 applies only to publicly routable IP addresses.\n", "provider": "github", "category": "data", "license": "Apache-2.0", "compatibility": "Requires Python 3", "last_updated_at": "2026-03-24T05:25:10Z", "metadata": { "author": "Sid Mathur ", "version": "0.0.9" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/geofeed-tuner", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/geofeed-tuner/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "csv", "pr", "geofeed", "tuner" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 119, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/github-actions-efficiency", "name": "github-actions-efficiency", "description": "Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-25T01:05:10Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/github-actions-efficiency", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-actions-efficiency/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "ci", "actions", "efficiency" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 57, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/github-actions-hardening", "name": "github-actions-hardening", "description": "Security hardening reviewer for GitHub Actions workflow files (.github/workflows/*.yml). Reasons about the Actions threat model that pattern matchers and general code linters miss \u2014 untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped tokens. Use this skill when asked to review, audit, harden, or secure a GitHub Actions workflow, when writing a new workflow, or for any request like \"is this workflow safe?\", \"review my CI for security issues\", \"why is pull_request_target dangerous here?\", \"pin my actions\", or \"lock down GITHUB_TOKEN permissions\". Covers script injection via ${{ }} interpolation, pull_request_target / workflow_run privilege escalation, SHA-pinning of third-party actions, least-privilege permissions, GITHUB_ENV/GITHUB_OUTPUT injection, secret exposure, OIDC over long-lived credentials, and self-hosted runner exposure on public repositories.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-16T01:04:26Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/github-actions-hardening", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-actions-hardening/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "ci", "lint", "art", "actions", "hardening" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 35, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/github-codespaces-efficiency", "name": "github-codespaces-efficiency", "description": "Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-25T01:05:10Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/github-codespaces-efficiency", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-codespaces-efficiency/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "ci", "art", "codespaces", "efficiency" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 57, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/github-issues", "name": "github-issues", "description": "Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, set issue fields (dates, priority, custom fields), set issue types, manage issue workflows, link issues, add dependencies, or track blocked-by/blocking relationships. Triggers on requests like \"create an issue\", \"file a bug\", \"request a feature\", \"update issue X\", \"set the priority\", \"set the start date\", \"link issues\", \"add dependency\", \"blocked by\", \"blocking\", or any GitHub issue management task.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-09T23:44:35Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/github-issues", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-issues/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "ci", "mcp", "art", "issues" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 133, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/github-release", "name": "github-release", "description": "Guides IA through releasing a new version of a GitHub library end-to-end. Handles SemVer versioning and Keep a Changelog formatting automatically.\n", "provider": "github", "category": "development", "license": null, "compatibility": "requires: gh CLI and git", "last_updated_at": "2026-05-21T05:48:23Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/github-release", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-release/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "release" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 61, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/gsap-framer-scroll-animation", "name": "gsap-framer-scroll-animation", "description": "Use this skill whenever the user wants to build scroll animations, scroll effects, parallax, scroll-triggered reveals, pinned sections, horizontal scroll, text animations, or any motion tied to scroll position \u2014 in vanilla JS, React, or Next.js. Covers GSAP ScrollTrigger (pinning, scrubbing, snapping, timelines, horizontal scroll, ScrollSmoother, matchMedia) and Framer Motion / Motion v12 (useScroll, useTransform, useSpring, whileInView, variants). Use this skill even if the user just says \"animate on scroll\", \"fade in as I scroll\", \"make it scroll like Apple\", \"parallax effect\", \"sticky section\", \"scroll progress bar\", or \"entrance animation\". Also triggers for Copilot prompt patterns for GSAP or Framer Motion code generation. Pairs with the premium-frontend-ui skill for creative philosophy and design-level polish.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-14T23:42:53Z", "metadata": { "author": "Utkarsh Patrikar", "author_url": "https://github.com/utkarsh232005" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/gsap-framer-scroll-animation", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gsap-framer-scroll-animation/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "gsap", "framer", "scroll", "animation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 97, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/image-annotations", "name": "image-annotations", "description": "Annotate screenshots, diagrams, and images with callout rectangles, arrows, labels, and color-coded highlights using PIL. Includes rules for animated GIF annotations with timing and pacing.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-13T00:07:01Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/image-annotations", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/image-annotations/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "ci", "image", "annotations" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/impediment-prioritization", "name": "impediment-prioritization", "description": "Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula. Use when someone asks to prioritize, rank, sequence, or triage impediments, countermeasures, remediation items, risks, findings, gaps, action items, or backlog entries; or mentions value-stream prioritization, A3 / lean countermeasure ranking, ROI vs. effort scoring, or building a remediation / improvement backlog. Works with GHQR findings, audit results, retrospective action items, risk registers, architecture review gaps, or any free-form `{impediment, countermeasure}` list.", "provider": "github", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-04-28T03:49:58Z", "metadata": { "author": "ajenns", "version": "2.0.0", "created": "2026-04-19", "updated": "2026-04-21", "framework": "value-stream-prioritization", "domain": "general" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/impediment-prioritization", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/impediment-prioritization/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "impediment", "prioritization" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/issue-fields-migration", "name": "issue-fields-migration", "description": "Bulk-migrate metadata to GitHub issue fields from two sources: repo labels (e.g. priority labels to a Priority field) and Project V2 fields. Use when users say \"migrate my labels to issue fields\", \"migrate project fields to issue fields\", \"convert labels to issue fields\", \"copy project field values to issue fields\", or ask about adopting issue fields. Issue fields are org-level typed metadata (single select, text, number, date) that replace label-based workarounds with structured, searchable, cross-repo fields.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-13T07:30:32Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/issue-fields-migration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/issue-fields-migration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "convert", "issue", "fields", "migration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 130, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/java-helidon", "name": "java-helidon", "description": "Get best practices for developing applications with Helidon 4 (SE and MP). Use when working with Helidon SE or Helidon MP, HttpService routing, Helidon DB Client, MicroProfile Config, Helidon Security, or Helidon testing in Java 21+ projects.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T21:28:53Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/java-helidon", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-helidon/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "cli", "java", "helidon" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 5, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/linkedin-post-formatter", "name": "linkedin-post-formatter", "description": "Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns. USE FOR: draft LinkedIn post, format text for LinkedIn, create social media post, write thought leadership post, convert content to LinkedIn format, LinkedIn carousel text, Unicode bold italic formatting.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-15T22:54:58Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/linkedin-post-formatter", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/linkedin-post-formatter/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "visual", "convert", "linkedin", "post", "formatter" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 96, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/lsp-setup", "name": "lsp-setup", "description": "Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T18:54:51Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/lsp-setup", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/lsp-setup/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "cli", "lsp", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 102, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/make-repo-contribution", "name": "make-repo-contribution", "description": "All changes to code must follow the guidance documented in the repository. Before any issue is filed, branch is made, commits generated, or pull request (or PR) created, a search must be done to ensure the right steps are followed. Whenever asked to create an issue, commit messages, to push code, or create a PR, use this skill so everything is done correctly.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-02-17T21:27:02Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/make-repo-contribution", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/make-repo-contribution/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "document", "make", "repo", "contribution" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 153, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/markdown-to-html", "name": "markdown-to-html", "description": "Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or writing custom script to convert markdown to html and/or working on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that utilize markdown documents, converting them to html. Use when asked to \"convert markdown to html\", \"transform md to html\", \"render markdown\", \"generate html from markdown\", or when working with .md files and/or web a templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-01-29T05:49:17Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/markdown-to-html", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/markdown-to-html/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "cli", "document", "convert", "markdown", "html" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 173, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/markstream-install", "name": "markstream-install", "description": "Install and configure Markstream streaming Markdown renderers for Vue, React, Svelte, Angular, Nuxt, and Vue 2 applications. Use for package selection, minimal peer dependencies, CSS order, SSR boundaries, streaming mode, and renderer setup.", "provider": "github", "category": "web", "license": "MIT", "compatibility": "JavaScript or TypeScript frontend project using Vue 3, Nuxt 3/4, Vue 2.6/2.7, React 18+, Next.js, Angular 20+, or Svelte 5.", "last_updated_at": "2026-07-19T13:01:38Z", "metadata": { "source": "https://github.com/Simon-He95/markstream-vue", "documentation": "https://markstream.simonhe.me/" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/markstream-install", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/markstream-install/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "markstream", "install" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/mcp-implementation-security-review", "name": "mcp-implementation-security-review", "description": "Review the implementation source code of MCP (Model Context Protocol) servers, clients, and tool handlers against a security baseline \u2014 authentication, sessions, rate limiting, input-schema validation, official-SDK usage, RCE vectors, and the OWASP MCP Top 10 \u2014 producing a report with file/line evidence. Use this skill when:\n- Reviewing an MCP server implementation for security before release\n- Checking a server against the baseline controls (MCP-01 to MCP-05) and the OWASP MCP Top 10\n- Auditing tools for RCE vectors (command/code injection, unsafe deserialization, path traversal, SSTI, dependency hijacking, SSRF)\n- Verifying auth, session, rate-limiting, and input-validation controls on a network-exposed server\n- Reviewing MCP client code that handles untrusted server responses and session IDs\n- Requests like \"review this MCP server for security\" or \"is my MCP server implementation secure?\"", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-09T21:43:32Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/mcp-implementation-security-review", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-implementation-security-review/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "mcp", "cli", "implementation", "security", "review" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 11, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/md-to-docx", "name": "md-to-docx", "description": "Convert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images \u2014 pure JavaScript, no external tools required", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-01T00:29:26Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/md-to-docx", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/md-to-docx/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "docx", "pr", "document", "convert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 81, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/microsoft-agent-framework", "name": "microsoft-agent-framework", "description": "Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-15T23:27:54Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/microsoft-agent-framework", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/microsoft-agent-framework/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "microsoft", "agent", "framework" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 127, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/microsoft-skill-creator", "name": "microsoft-skill-creator", "description": "Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.", "provider": "github", "category": "development", "license": null, "compatibility": "Works best with Microsoft Learn MCP Server (https://learn.microsoft.com/api/mcp). Can also use the mslearn CLI as a fallback.", "last_updated_at": "2026-03-16T00:53:03Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/microsoft-skill-creator", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/microsoft-skill-creator/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "mcp", "knowledge", "microsoft", "skill", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 127, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/migrating-oracle-to-postgres-stored-procedures", "name": "migrating-oracle-to-postgres-stored-procedures", "description": "Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE \"C\"` only when appropriate, locale collations when required). Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-14T01:06:58Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/migrating-oracle-to-postgres-stored-procedures", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/migrating-oracle-to-postgres-stored-procedures/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "convert", "migrating", "oracle", "postgres", "stored", "procedures" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 7, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/minecraft-plugin-development", "name": "minecraft-plugin-development", "description": "Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like \"build a Minecraft plugin\", \"add a Paper command\", \"fix a Bukkit listener\", \"create plugin.yml\", \"implement a minigame mechanic\", \"add a perk or quest system\", or \"debug server plugin behavior\".", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T01:41:41Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/minecraft-plugin-development", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/minecraft-plugin-development/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "minecraft", "plugin", "development" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/mini-context-graph", "name": "mini-context-graph", "description": "A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern\nwith a structured knowledge graph. Ingest documents once \u2014 the LLM writes wiki\npages, extracts entities/relations into the graph, and stores raw content for\nevidence retrieval. Knowledge accumulates and cross-references; it is never\nre-derived from scratch.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-05T04:04:37Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/mini-context-graph", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mini-context-graph/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "document", "extract", "knowledge", "wiki", "mini", "context", "graph" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 77, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/msgraph-sdk", "name": "msgraph-sdk", "description": "Integrate Microsoft Graph SDK into any project \u2014 .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type.", "provider": "github", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T01:09:26Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/msgraph-sdk", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/msgraph-sdk/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "cli", "msgraph", "sdk" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 68, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/mvvm-toolkit", "name": "mvvm-toolkit", "description": "CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-11T01:29:33Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/mvvm-toolkit", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mvvm-toolkit/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "mvvm", "toolkit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/mvvm-toolkit-di", "name": "mvvm-toolkit-di", "description": "Wire CommunityToolkit.Mvvm ViewModels into Microsoft.Extensions.DependencyInjection. Covers the .NET Generic Host composition root, constructor injection, service lifetimes (Singleton / Transient / Scoped), IMessenger registration, resolving ViewModels in Views, keyed services, testing seams, and the legacy Ioc.Default escape hatch. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-11T01:29:33Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/mvvm-toolkit-di", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mvvm-toolkit-di/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "test", "mvvm", "toolkit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/mvvm-toolkit-messenger", "name": "mvvm-toolkit-messenger", "description": "CommunityToolkit.Mvvm Messenger pub/sub for decoupled communication between ViewModels (or any objects). Covers WeakReferenceMessenger vs StrongReferenceMessenger, IRecipient, RequestMessage / AsyncRequestMessage / CollectionRequestMessage, ValueChangedMessage, channels (tokens), and the ObservableRecipient activation lifecycle. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-11T01:29:33Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/mvvm-toolkit-messenger", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mvvm-toolkit-messenger/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "mvvm", "toolkit", "messenger" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/namecheap", "name": "namecheap", "description": "Manage DNS records for domains registered with Namecheap via their API. List domains, view/add/update/remove DNS host entries (A, AAAA, CNAME, MX, TXT, etc.), and guide users through API setup including public IP detection and credential configuration. Use when the user mentions Namecheap, DNS records, domain management, or wants to add/change/remove A records, CNAME records, MX records, or TXT records for their domains.", "provider": "github", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-05-29T21:58:31Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/namecheap", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/namecheap/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "namecheap" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/nano-banana-pro-openrouter", "name": "nano-banana-pro-openrouter", "description": "Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-02-10T02:03:49Z", "metadata": { "emoji": "\ud83c\udf4c", "requires": { "bins": [ "uv" ], "env": [ "OPENROUTER_API_KEY" ] }, "primaryEnv": "OPENROUTER_API_KEY" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/nano-banana-pro-openrouter", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/nano-banana-pro-openrouter/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "pr", "nano", "banana", "pro", "openrouter" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 161, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/napkin", "name": "napkin", "description": "Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser \u2014 draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-03-09T04:50:20Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/napkin", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/napkin/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "cli", "visual", "analysis", "napkin" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 134, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/noob-mode", "name": "noob-mode", "description": "Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-02T23:31:40Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/noob-mode", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/noob-mode/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "cli", "noob", "mode" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 140, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/oo-component-documentation", "name": "oo-component-documentation", "description": "Create or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-03-15T23:27:54Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/oo-component-documentation", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/oo-component-documentation/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "ci", "document", "component", "documentation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 127, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/optimize-simplicite-logs", "name": "optimize-simplicite-logs", "description": "capability to parse Simplicit\u00e9 logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-18T01:26:40Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/optimize-simplicite-logs", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/optimize-simplicite-logs/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "json", "ci", "optimize", "simplicite", "logs" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 64, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/pdftk-server", "name": "pdftk-server", "description": "Skill for using the command-line tool pdftk (PDFtk Server) for working with PDF files. Use when asked to merge PDFs, split PDFs, rotate pages, encrypt or decrypt PDFs, fill PDF forms, apply watermarks, stamp overlays, extract metadata, burst documents into pages, repair corrupted PDFs, attach or extract files, or perform any PDF manipulation from the command line.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-02-16T02:46:03Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/pdftk-server", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pdftk-server/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pdf", "document", "extract", "merge", "pdftk", "server" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 155, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/penpot-uiux-design", "name": "penpot-uiux-design", "description": "Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: \"design a UI\", \"create interface\", \"build layout\", \"design dashboard\", \"create form\", \"design landing page\", \"make it accessible\", \"design system\", \"component library\".", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-03T07:06:49Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/penpot-uiux-design", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/penpot-uiux-design/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "mcp", "design", "penpot", "uiux" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 168, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/pester-migration", "name": "pester-migration", "description": "Pester migration skill for upgrading PowerShell Pester test suites across major versions \u2014 v3\u2192v4, v4\u2192v5, and v5\u2192v6. Covers the Discovery/Run two-phase model, moving setup into BeforeAll, $PSScriptRoot vs $MyInvocation, mock changes (Assert-MockCalled \u2192 Should -Invoke, removed fall-through), Invoke-Pester parameters \u2192 PesterConfiguration, data-driven -ForEach/-TestCases, and the v6 breaking changes. Use when the user asks to upgrade, migrate, or modernize Pester tests, fix *.Tests.ps1 files that broke after bumping the Pester version, or convert legacy Should / Invoke-Pester syntax.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-12T23:56:54Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/pester-migration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pester-migration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "test", "convert", "pester", "migration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/pester-should-migration", "name": "pester-should-migration", "description": "Experimental (preview) Pester skill for migrating classic Should -Be (v5) assertion syntax to the new Should-* (v6) assertions (note the hyphen, no space), e.g. `Should -Be` -> `Should-Be`, `Should -Not -Be` -> `Should-NotBe`. Tracks Pester 6, which is still a release candidate, so this guidance may change; verified against Pester 6.0.0-rc2. Use when converting Pester v5 assertions to Pester v6 Should-* operators, modernizing a Pester test suite, or when a user asks to migrate, convert, or rewrite `Should -...` calls in .Tests.ps1 / PowerShell files.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-03T00:10:37Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/pester-should-migration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pester-should-migration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "convert", "pester", "should", "migration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 18, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/phoenix-cli", "name": "phoenix-cli", "description": "Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking \"what's going wrong\", \"what kinds of mistakes\", or \"where do I focus\" \u2014 even without naming a technique.", "provider": "github", "category": "development", "license": "Apache-2.0", "compatibility": "Requires Node.js (for npx) or global install of @arizeai/phoenix-cli. Optionally requires jq for JSON processing.", "last_updated_at": "2026-05-13T02:08:14Z", "metadata": { "author": "arize-ai", "version": "3.3.0" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/phoenix-cli", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/phoenix-cli/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "api", "cli", "phoenix" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/phoenix-evals", "name": "phoenix-evals", "description": "Build and run evaluators for AI/LLM applications using Phoenix.", "provider": "github", "category": "ml-ai", "license": "Apache-2.0", "compatibility": "Requires Phoenix server. Python skills need phoenix and openai packages; TypeScript skills need @arizeai/phoenix-client.", "last_updated_at": "2026-04-01T22:58:55Z", "metadata": { "author": "oss@arize.com", "version": "1.0.0", "languages": "Python, TypeScript" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/phoenix-evals", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/phoenix-evals/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "phoenix", "evals" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 110, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/phoenix-tracing", "name": "phoenix-tracing", "description": "OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.", "provider": "github", "category": "ml-ai", "license": "Apache-2.0", "compatibility": "Requires Phoenix server. Python skills need arize-phoenix-otel; TypeScript skills need @arizeai/phoenix-otel.", "last_updated_at": "2026-04-01T22:58:55Z", "metadata": { "author": "oss@arize.com", "version": "1.0.0", "languages": "Python, TypeScript" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/phoenix-tracing", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/phoenix-tracing/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "phoenix", "tracing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 110, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/planning-oracle-to-postgres-migration-integration-testing", "name": "planning-oracle-to-postgres-migration-integration-testing", "description": "Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-14T01:06:58Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/planning-oracle-to-postgres-migration-integration-testing", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/planning-oracle-to-postgres-migration-integration-testing/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "art", "planning", "oracle", "postgres", "migration", "integration", "testing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 7, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/powerbi-modeling", "name": "powerbi-modeling", "description": "Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-03T09:49:55Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/powerbi-modeling", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/powerbi-modeling/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "mcp", "design", "document", "powerbi", "modeling" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 167, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/pr-dashboard", "name": "pr-dashboard", "description": "Open a GitHub PR dashboard in the browser. Use when the user asks to see their pull requests, open the PR dashboard, show PRs for a date range, or check PR status. Trigger phrases include \"show my PRs\", \"open PR dashboard\", \"pull request dashboard\".", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T23:59:44Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/pr-dashboard", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pr-dashboard/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "github", "git", "pr", "dashboard" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 82, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/publish-to-pages", "name": "publish-to-pages", "description": "Publish presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL. Use when the user wants to publish, deploy, or share a presentation or HTML file via GitHub Pages.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-03-19T23:26:41Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/publish-to-pages", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/publish-to-pages/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pdf", "pptx", "github", "git", "pr", "convert", "publish", "pages" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 123, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/python-azure-iot-edge-modules", "name": "python-azure-iot-edge-modules", "description": "Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:15:42Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/python-azure-iot-edge-modules", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/python-azure-iot-edge-modules/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "python", "azure", "iot", "edge", "modules" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 83, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/python-pypi-package-builder", "name": "python-pypi-package-builder", "description": "End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T00:36:17Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/python-pypi-package-builder", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/python-pypi-package-builder/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "ci", "cd", "test", "lint", "cli", "design", "python" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/quality-playbook", "name": "quality-playbook", "description": "Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.", "provider": "github", "category": "development", "license": "Complete terms in LICENSE.txt", "compatibility": null, "last_updated_at": "2026-05-11T01:31:53Z", "metadata": { "version": "1.5.6", "author": "Andrew Stellman", "github": "https://github.com/andrewstellman/quality-playbook" }, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/quality-playbook", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/quality-playbook/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "quality", "playbook" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 71, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react-audit-grep-patterns", "name": "react-audit-grep-patterns", "description": "Provides the complete, verified grep scan command library for auditing React codebases before a React 18.3.1 or React 19 upgrade. Use this skill whenever running a migration audit - for both the react18-auditor and react19-auditor agents. Contains every grep pattern needed to find deprecated APIs, removed APIs, unsafe lifecycle methods, batching vulnerabilities, test file issues, dependency conflicts, and React 19 specific removals. Always use this skill when writing audit scan commands - do not rely on memory for grep syntax, especially for the multi-line async setState patterns which require context flags.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react-audit-grep-patterns", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react-audit-grep-patterns/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "api", "react", "audit", "grep", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react-container-presentation-component", "name": "react-container-presentation-component", "description": "Create a React component using the Container/Presentation pattern in src/components by asking for the component name and type (ui or features), then scaffold files that follow this repository's TypeScript, Storybook, and SCSS conventions. Use when the user explicitly asks for a Container/Presentation-based component or runs /react-container-presentation-component.", "provider": "github", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-06-15T00:23:43Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react-container-presentation-component", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react-container-presentation-component/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "react", "container", "presentation", "component" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react18-batching-patterns", "name": "react18-batching-patterns", "description": "Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it before writing any flushSync call - the decision tree here prevents unnecessary flushSync overuse. Also use this skill when fixing test failures caused by intermediate state assertions that break after React 18 upgrade.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react18-batching-patterns", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-batching-patterns/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "react18", "batching", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react18-dep-compatibility", "name": "react18-dep-compatibility", "description": "React 18.3.1 and React 19 dependency compatibility matrix.", "provider": "github", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react18-dep-compatibility", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-dep-compatibility/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "react18", "dep", "compatibility" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react18-enzyme-to-rtl", "name": "react18-enzyme-to-rtl", "description": "Provides exact Enzyme \u2192 React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test file that imports from enzyme. This skill covers the full API mapping and the philosophy shift from implementation testing to behavior testing. Always read this skill before rewriting Enzyme tests - do not translate Enzyme APIs 1:1, that produces brittle RTL tests.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react18-enzyme-to-rtl", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-enzyme-to-rtl/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "api", "react18", "enzyme", "rtl" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react18-legacy-context", "name": "react18-legacy-context", "description": "Provides the complete migration pattern for React legacy context API (contextTypes, childContextTypes, getChildContext) to the modern createContext API. Use this skill whenever migrating legacy context in class components - this is always a cross-file migration requiring the provider AND all consumers to be updated together. Use it before touching any contextTypes or childContextTypes code, because migrating only the provider without the consumers (or vice versa) will cause a runtime failure. Always read this skill before writing any context migration - the cross-file coordination steps here prevent the most common context migration bugs.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react18-legacy-context", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-legacy-context/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "react18", "legacy", "context" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react18-lifecycle-patterns", "name": "react18-lifecycle-patterns", "description": "Provides exact before/after migration patterns for the three unsafe class component lifecycle methods - componentWillMount, componentWillReceiveProps, and componentWillUpdate - targeting React 18.3.1. Use this skill whenever a class component needs its lifecycle methods migrated, when deciding between getDerivedStateFromProps vs componentDidUpdate, when adding getSnapshotBeforeUpdate, or when fixing React 18 UNSAFE_ lifecycle warnings. Always use this skill before writing any lifecycle migration code - do not guess the pattern from memory, the decision trees here prevent the most common migration mistakes.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react18-lifecycle-patterns", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-lifecycle-patterns/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "react18", "lifecycle", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react18-string-refs", "name": "react18-string-refs", "description": "Provides exact migration patterns for React string refs (ref=\"name\" + this.refs.name) to React.createRef() in class components. Use this skill whenever migrating string ref usage - including single element refs, multiple refs in a component, refs in lists, callback refs, and refs passed to child components. Always use this skill before writing any ref migration code - the multiple-refs-in-list pattern is particularly tricky and this skill prevents the most common mistakes. Use it for React 18.3.1 migration (string refs warn) and React 19 migration (string refs removed).", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react18-string-refs", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-string-refs/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "react18", "string", "refs" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react19-concurrent-patterns", "name": "react19-concurrent-patterns", "description": "Preserve React 18 concurrent patterns and adopt React 19 APIs (useTransition, useDeferredValue, Suspense, use(), useOptimistic, Actions) during migration.", "provider": "github", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react19-concurrent-patterns", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react19-concurrent-patterns/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "react19", "concurrent", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/react19-source-patterns", "name": "react19-source-patterns", "description": "Reference for React 19 source-file migration patterns, including API changes, ref handling, and context updates.", "provider": "github", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-04-09T05:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/react19-source-patterns", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react19-source-patterns/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "react19", "source", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 103, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/resemble-detect", "name": "resemble-detect", "description": "Deepfake detection and media safety \u2014 detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI", "provider": "github", "category": "creative", "license": "Apache-2.0", "compatibility": "Requires a Resemble AI API key (https://app.resemble.ai) set as RESEMBLE_API_KEY. All media must be accessible via public HTTPS URLs \u2014 local file paths are not supported except for text detection.", "last_updated_at": "2026-04-28T02:09:46Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/resemble-detect", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/resemble-detect/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "resemble", "detect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 84, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/reviewing-oracle-to-postgres-migration", "name": "reviewing-oracle-to-postgres-migration", "description": "Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-14T01:06:58Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/reviewing-oracle-to-postgres-migration", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/reviewing-oracle-to-postgres-migration/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "test", "art", "reviewing", "oracle", "postgres", "migration" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 7, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/rhino3d-scripts", "name": "rhino3d-scripts", "description": "Authoring and debugging scripts for Rhinoceros 3D (Rhino 8 and later). Use when asked to write RhinoScript (VBScript / .rvb / .vbs), RhinoPython, or RhinoCommon-based scripts; automate Rhino modeling tasks; build command macros; manipulate Rhino geometry, layers, blocks, or document objects; pick objects from the viewport; control redraw and undo; or load and run scripts from the Rhino Script Editor. Covers `rhinoscriptsyntax`, `scriptcontext`, the `Rhino.*` RhinoCommon namespaces (`Rhino.Geometry`, `Rhino.DocObjects`, `Rhino.Input`, `Rhino.UI`, `Rhino.Display`, `Rhino.FileIO`), and the Rhino 8 unified Script Editor.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-29T01:23:22Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/rhino3d-scripts", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/rhino3d-scripts/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "document", "rhino3d", "scripts" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 53, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/roundup-setup", "name": "roundup-setup", "description": "Interactive onboarding that learns your communication style, audiences, and data sources to configure personalized status briefings. Paste in examples of updates you already write, answer a few questions, and roundup calibrates itself to your workflow.", "provider": "github", "category": "enterprise", "license": null, "compatibility": null, "last_updated_at": "2026-03-25T22:55:31Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/roundup-setup", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/roundup-setup/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "roundup", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 117, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/sandbox-npm-install", "name": "sandbox-npm-install", "description": "Install npm packages in a Docker sandbox environment. Use this skill whenever you need to install, reinstall, or update node_modules inside a container where the workspace is mounted via virtiofs. Native binaries (esbuild, lightningcss, rollup) crash on virtiofs, so packages must be installed on the local ext4 filesystem and symlinked back.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-03-15T23:27:32Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/sandbox-npm-install", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sandbox-npm-install/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "sandbox", "npm", "install" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 127, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/secret-scanning", "name": "secret-scanning", "description": "Guide for configuring and managing GitHub secret scanning, push protection, custom patterns, and secret alert remediation. For pre-commit secret scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when enabling secret scanning, setting up push protection, defining custom patterns, triaging alerts, resolving blocked pushes, or when an agent needs to scan code for secrets before committing.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T22:50:07Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/secret-scanning", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/secret-scanning/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "github", "git", "pr", "mcp", "secret", "scanning" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 118, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/security-review", "name": "security-review", "description": "AI-powered codebase security scanner that reasons about code like a security researcher \u2014 tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like \"is my code secure?\", \"review for security issues\", \"audit this codebase\", or \"check for vulnerabilities\". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.", "provider": "github", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-03-30T00:44:48Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/security-review", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/security-review/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "api", "security", "review" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 113, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/semantic-kernel", "name": "semantic-kernel", "description": "Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-15T23:27:54Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/semantic-kernel", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/semantic-kernel/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "semantic", "kernel" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 127, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/setup-my-iq", "name": "setup-my-iq", "description": "Create, set up, or update the personal context portfolio: structured markdown files describing\nwho you are, how you work, your teams, and your tool/ADO configuration. Runs the interview\nworkflow for first-time setup and targeted edits for updates.\n\nTrigger this skill when the user asks to: set up their context, create or update their context\nportfolio, \"create my IQ\", \"set up my IQ\", edit their profile, add/remove a stakeholder,\nupdate ADO config, change team info, update pillars, or set up any plugin configuration.\nTrigger when another skill fails to find context (missing files or TODO markers) and needs\ncontext populated. Also trigger when the user mentions a context change in passing\n(e.g., \"my manager changed\", \"we added someone to the team\") to offer a context file update.\n\nDo NOT trigger for read-only questions like \"who's on my team?\" or \"what's my ADO config?\".\nThose are answered directly from the context files referenced in the loaded custom\ninstructions; no skill is needed.", "provider": "github", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-06-16T01:50:25Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/setup-my-iq", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/setup-my-iq/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 35, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/signal-write", "name": "signal-write", "description": "Emit structured agent signals \u2014 hands-up, blocked, done, checkpoint, partnership. Signals are written as JSON to .signals/ for dashboard consumption and noted in the journal for persistence.", "provider": "github", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-07-20T02:24:09Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/signal-write", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/signal-write/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "json", "art", "signal", "write" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/slang-shader-engineer", "name": "slang-shader-engineer", "description": "Use when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader(\"compute\")], [shader(\"vertex\")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says \"shader\" alongside \"generics\", \"interfaces\", \"parameter blocks\", \"autodiff\", or \"capabilities\".", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-12T02:55:26Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/slang-shader-engineer", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/slang-shader-engineer/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "slang", "shader", "engineer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 70, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/spring-boot-testing", "name": "spring-boot-testing", "description": "Expert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJ.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-19T23:24:37Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/spring-boot-testing", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/spring-boot-testing/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "spring", "boot", "testing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 123, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/sql-server-table-reconciliation", "name": "sql-server-table-reconciliation", "description": "Use when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison.", "provider": "github", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-19T00:55:57Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/sql-server-table-reconciliation", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sql-server-table-reconciliation/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "sql", "server", "table", "reconciliation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/steno-mode", "name": "steno-mode", "description": "Shorthand-first response compression that cuts ~40% of response tokens while preserving technical precision and exact literals. Use when the user says \"steno mode\", \"shorthand mode\", \"compressed responses\", \"token reduction\", \"brief structured output\", or invokes /steno. Supports four compression levels: lite, brief, court, machine. Do not trigger for requests needing polished prose such as onboarding/tutorial content, stakeholder or customer-facing copy, or teaching-focused explanations.", "provider": "github", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-14T01:15:22Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/steno-mode", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/steno-mode/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "steno", "mode" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 7, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/technical-job-search", "name": "technical-job-search", "description": "Use this skill when a software engineer asks for help with job search tasks: parsing or analyzing a job description, tailoring a CV/resume, writing a cover letter, evaluating a job offer, or drafting a post-interview follow-up email. Do not activate for general career advice unrelated to an active job search action.", "provider": "github", "category": "enterprise", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-22T01:07:36Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/technical-job-search", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/technical-job-search/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "email", "technical", "job", "search" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 29, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/terraform-azurerm-set-diff-analyzer", "name": "terraform-azurerm-set-diff-analyzer", "description": "Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.", "provider": "github", "category": "cloud", "license": "MIT", "compatibility": null, "last_updated_at": "2026-02-01T23:58:51Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/terraform-azurerm-set-diff-analyzer", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/terraform-azurerm-set-diff-analyzer/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "terraform", "azurerm", "set", "diff", "analyzer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 169, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/threat-model-analyst", "name": "threat-model-analyst", "description": "Full STRIDE-A threat model analysis and incremental update skill for repositories and systems. Supports two modes: (1) Single analysis \u2014 full STRIDE-A threat model of a repository, producing architecture overviews, DFD diagrams, STRIDE-A analysis, prioritized findings, and executive assessments. (2) Incremental analysis \u2014 takes a previous threat model report as baseline, compares the codebase at the latest (or a given commit), and produces an updated report with change tracking (new, resolved, still-present threats), STRIDE heatmap, findings diff, and an embedded HTML comparison. Only activate when the user explicitly requests a threat model analysis, incremental update, or invokes /threat-model-analyst directly.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-29T20:58:56Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/threat-model-analyst", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/threat-model-analyst/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "analysis", "threat", "model", "analyst" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 113, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/tm7-threat-model", "name": "tm7-threat-model", "description": "Creates valid Microsoft Threat Modeling Tool (.tm7) files compatible with the Microsoft Threat Modeling Tool v7.3+. Use this skill whenever asked to create, generate, or modify a .tm7 threat model file, or when performing STRIDE threat modeling that should output a .tm7 file that opens cleanly in the Microsoft Threat Modeling Tool.", "provider": "github", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-14T23:12:29Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/tm7-threat-model", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/tm7-threat-model/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "tm7", "threat", "model" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 6, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/unit-test-vue-pinia", "name": "unit-test-vue-pinia", "description": "Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases. Use when creating or updating tests for components, composables, and stores; mocking Pinia with createTestingPinia; applying Vue Test Utils patterns; and enforcing black-box assertions over implementation details.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-15T23:39:36Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/unit-test-vue-pinia", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/unit-test-vue-pinia/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "test", "unit", "vue", "pinia" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 127, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/vcpkg", "name": "vcpkg", "description": "Guide for setting up vcpkg in C++ projects, managing dependency versions, and cross-compiling. Covers manifest initialization, CMake and Visual Studio integration, classic-to-manifest migration, version pinning, baselines, overrides, triplets, and cross-compilation. Use when a user is working with vcpkg project setup, installation, version management, or cross-platform builds. For specialized tasks, additional references cover custom registries and overlay ports (references/registries.md), CI/CD and binary caching (references/ci.md), and troubleshooting and dependency lifecycle (references/troubleshooting.md).", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-17T17:27:07Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/vcpkg", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/vcpkg/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "visual", "vcpkg" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 3, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/webapp-testing", "name": "webapp-testing", "description": "Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.", "provider": "github", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-03-13T02:45:17Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/webapp-testing", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/webapp-testing/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "test", "webapp", "testing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 130, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "github/winmd-api-search", "name": "winmd-api-search", "description": "Find and explore Windows desktop APIs. Use when building features that need platform capabilities \u2014 camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).", "provider": "github", "category": "ml-ai", "license": "Complete terms in LICENSE.txt", "compatibility": null, "last_updated_at": "2026-03-03T22:37:13Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/winmd-api-search", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/winmd-api-search/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "api", "winmd", "search" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 139, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/workshop-create", "name": "workshop-create", "description": "Create a new workshop or use an existing directory as one. Handles two paths: (A) use an existing local directory the operator points at, or (B) create a new private GitHub repo in the signed-in account. Never creates a repo inside another repo.", "provider": "github", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-19T02:58:49Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/workshop-create", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/workshop-create/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "github", "git", "pr", "workshop", "create" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 36841 }, { "id": "github/x-twitter-scraper", "name": "x-twitter-scraper", "description": "Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, MCP tools, TweetClaw OpenClaw plugin installs, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation.", "provider": "github", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-06-23T04:05:24Z", "metadata": {}, "source": { "repo": "https://github.com/github/awesome-copilot", "path": "skills/x-twitter-scraper", "skill_md_url": "https://raw.githubusercontent.com/github/awesome-copilot/main/skills/x-twitter-scraper/SKILL.md", "commit_sha": "ecf0f5a9f4b014d2e0f5e3c1cec55b4e7792ed8a" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "github", "git", "api", "mcp", "twitter", "scraper" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 28, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 36841 }, { "id": "remotion/mediabunny", "name": "mediabunny", "description": "Multimedia handling with the Mediabunny library", "provider": "remotion", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-07-18T14:06:47Z", "metadata": { "tags": "remotion, mediabunny, multimedia, video, audio" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/mediabunny", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/mediabunny/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "mediabunny" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-best-practices", "name": "remotion-best-practices", "description": "Best practices for Remotion", "provider": "remotion", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-07-19T17:39:19Z", "metadata": { "tags": "remotion, video, react, animation, composition" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-best-practices", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-best-practices/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "remotion", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-captions", "name": "remotion-captions", "description": "Dealing with captions in Remotion", "provider": "remotion", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T12:51:32Z", "metadata": { "tags": "subtitles, captions, remotion, json" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-captions", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-captions/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "remotion", "captions" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 9, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-create", "name": "remotion-create", "description": "Creating a new Remotion video", "provider": "remotion", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T12:51:32Z", "metadata": { "tags": "remotion" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-create", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-create/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "remotion", "create" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 9, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-docs", "name": "remotion-docs", "description": "Search and fetch Remotion documentation pages", "provider": "remotion", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T13:37:38Z", "metadata": { "tags": "remotion, docs, documentation, search" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-docs", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-docs/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "document", "remotion", "docs" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-interactivity", "name": "remotion-interactivity", "description": "Best practices for writing Remotion animations that stay intuitive for agents and editable in Remotion Studio Visual Mode.", "provider": "remotion", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T13:37:38Z", "metadata": { "tags": "remotion, interactivity, studio, visual mode" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-interactivity", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-interactivity/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "visual", "remotion", "interactivity" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-markup", "name": "remotion-markup", "description": "Best practices for writing Remotion React Markup", "provider": "remotion", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T13:37:38Z", "metadata": { "tags": "remotion, react, markup" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-markup", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-markup/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "remotion", "markup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-render", "name": "remotion-render", "description": "Best practices for rendering videos", "provider": "remotion", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T12:51:32Z", "metadata": { "tags": "remotion, render" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-render", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-render/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "remotion", "render" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 9, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-saas", "name": "remotion-saas", "description": "Building video apps with Remotion - framework, rendering and Player advice", "provider": "remotion", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T12:51:32Z", "metadata": { "tags": "remotion, saas, player, rendering, templates, lambda" }, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-saas", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-saas/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "remotion", "saas" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 9, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "remotion/remotion-upgrade", "name": "remotion-upgrade", "description": "Upgrade Remotion, its related packages, compatible Mediabunny packages, and installed Remotion Agent Skills. Use when asked to upgrade or update a Remotion project.", "provider": "remotion", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-07-19T17:39:19Z", "metadata": {}, "source": { "repo": "https://github.com/remotion-dev/skills", "path": "skills/remotion-upgrade", "skill_md_url": "https://raw.githubusercontent.com/remotion-dev/skills/main/skills/remotion-upgrade/SKILL.md", "commit_sha": "8ea5e44b60c73a45aa77219ad3045fb47783e38b" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "remotion", "upgrade" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 4033 }, { "id": "stripe/stripe-best-practices", "name": "stripe-best-practices", "description": "Guides Stripe integration decisions across API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, tax and registrations (Stripe Tax, automatic_tax, product tax codes), Treasury financial accounts, integration options (Checkout, Payment Element), migrating from deprecated Stripe APIs, and security best practices (API key management, restricted keys, webhooks, OAuth). Use when building, modifying, or reviewing any Stripe integration, including accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, collecting sales tax, VAT, or GST, creating connected accounts, or implementing secure key handling.", "provider": "stripe", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T00:45:27Z", "metadata": {}, "source": { "repo": "https://github.com/stripe/ai", "path": "skills/stripe-best-practices", "skill_md_url": "https://raw.githubusercontent.com/stripe/ai/main/skills/stripe-best-practices/SKILL.md", "commit_sha": "a3267712f2268975e4ecc5912634d900ae4cb8e6" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "api", "stripe", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 5, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 1696 }, { "id": "stripe/stripe-docs", "name": "stripe-docs", "description": "Use when the user or agent needs to read, search, or look up Stripe documentation or API reference. Prefer this over curl or WebFetch for any docs.stripe.com content.", "provider": "stripe", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-07-21T00:47:45Z", "metadata": { "short-description": "Read and search Stripe documentation from the terminal" }, "source": { "repo": "https://github.com/stripe/ai", "path": "skills/stripe-docs", "skill_md_url": "https://raw.githubusercontent.com/stripe/ai/main/skills/stripe-docs/SKILL.md", "commit_sha": "a3267712f2268975e4ecc5912634d900ae4cb8e6" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "api", "document", "stripe", "docs" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 1696 }, { "id": "stripe/stripe-projects", "name": "stripe-projects", "description": "Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: \"I need a database\", \"set up auth\", \"add caching\", \"give me a Postgres\", \"provision Redis\", \"I need hosting\", \"add a vector DB\", \"get me an API key for X\", \"get credentials for X\", \"sign up for a service\", \"set up monitoring\", \"show me the catalog\", \"what can I provision\", \"browse providers\", \"add an LLM provider\", \"configure model provider\", \"add email sending\", \"set up search\", \"add a message queue\", \"set up object storage\", \"add feature flags\". Also trigger when the user asks how to get an API key or credentials for any third-party service \u2014 don't tell them to sign up manually; check the Projects catalog first. Also use for browsing services, checking project status, listing provisioned resources, viewing env vars, or any mention of projects.dev or adding/provisioning/connecting a cloud service.\n", "provider": "stripe", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-17T00:48:13Z", "metadata": {}, "source": { "repo": "https://github.com/stripe/ai", "path": "skills/stripe-projects", "skill_md_url": "https://raw.githubusercontent.com/stripe/ai/main/skills/stripe-projects/SKILL.md", "commit_sha": "a3267712f2268975e4ecc5912634d900ae4cb8e6" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "api", "art", "email", "stripe", "projects" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 1696 }, { "id": "stripe/upgrade-stripe", "name": "upgrade-stripe", "description": "Guide for upgrading Stripe API versions and SDKs", "provider": "stripe", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-06-26T01:12:31Z", "metadata": {}, "source": { "repo": "https://github.com/stripe/ai", "path": "skills/upgrade-stripe", "skill_md_url": "https://raw.githubusercontent.com/stripe/ai/main/skills/upgrade-stripe/SKILL.md", "commit_sha": "a3267712f2268975e4ecc5912634d900ae4cb8e6" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "api", "upgrade", "stripe" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 25, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 1696 }, { "id": "vercel/vercel-optimize", "name": "vercel-optimize", "description": "Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.", "provider": "vercel", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-26T22:53:17Z", "metadata": { "version": "1.2.0" }, "source": { "repo": "https://github.com/vercel-labs/agent-skills", "path": "skills/vercel-optimize", "skill_md_url": "https://raw.githubusercontent.com/vercel-labs/agent-skills/main/skills/vercel-optimize/SKILL.md", "commit_sha": "4559f18a20c1691c744b4395194290db6a0df5e9" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "vercel", "optimize" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 55, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 29271 }, { "id": "vercel/vercel-react-view-transitions", "name": "vercel-react-view-transitions", "description": "Guide for implementing smooth, native-feeling animations using React's View Transition API (`` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter/exit of components, animate list reorder, implement directional (forward/back) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.", "provider": "vercel", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-04-02T21:18:05Z", "metadata": { "author": "vercel", "version": "1.0.0" }, "source": { "repo": "https://github.com/vercel-labs/agent-skills", "path": "skills/react-view-transitions", "skill_md_url": "https://raw.githubusercontent.com/vercel-labs/agent-skills/main/skills/react-view-transitions/SKILL.md", "commit_sha": "4559f18a20c1691c744b4395194290db6a0df5e9" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "art", "vercel", "react", "view", "transitions" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 109, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 29271 }, { "id": "expo/eas-app-stores", "name": "eas-app-stores", "description": "EAS service (paid). Deploy Expo apps to the app stores with EAS - build and submit to the iOS App Store, Google Play Store, and TestFlight, configure eas.json build and submit profiles, manage app versions and build numbers, and publish App Store metadata and ASO. Use whenever the user wants to deploy, release, or ship an app to production or the app stores, is preparing a production build, running eas build or eas submit, shipping to TestFlight, bumping version or build numbers, or setting up store listing metadata. For deploying an Expo website or API routes, use the eas-hosting skill.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/eas-app-stores", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/eas-app-stores/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "test", "api", "eas", "app", "stores" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/eas-hosting", "name": "eas-hosting", "description": "EAS service (paid). Deploy Expo websites and Expo Router API routes to EAS Hosting - export the web bundle, run eas deploy for production and PR preview URLs, manage environment secrets and custom domains, and work within the Cloudflare Workers runtime. Also covers authoring API routes (+api.ts handlers, HTTP methods, request handling, CORS). Use when deploying an Expo web app or API routes, setting up EAS Hosting, or configuring hosting environments and domains. Not for native builds or store releases - use the eas-app-stores skill for those.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/eas-hosting", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/eas-hosting/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "api", "eas", "hosting" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/eas-observe", "name": "eas-observe", "description": "EAS service (paid). Use for anything related to EAS Observe - adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive, the useObserve hook, the Expo Router / React Navigation integrations for per-route metrics, and user-defined events via `Observe.logEvent`), querying via the EAS CLI (`eas observe:metrics-summary`, `observe:metrics`, `observe:routes`, `observe:events`, `observe:versions`), or interpreting the resulting metrics (cold/warm launch, TTR, TTI, navigation cold/warm TTR, update download, and the TTI frameRate params for triaging slow startups).", "provider": "expo", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/eas-observe", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/eas-observe/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "cli", "art", "eas", "observe" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/eas-simulator", "name": "eas-simulator", "description": "EAS service (paid). Run and control a user's app on a remote iOS/Android simulator hosted on EAS cloud. Read before running any `eas simulator:*` commands - it has the current syntax for this experimental API. Use whenever the user needs a simulator they can't run locally - 'run my app on a cloud simulator', 'use eas simulator to run/install/screenshot my app', 'I'm on Linux/Cursor and need an iOS device', 'no sim on this box / headless CI', 'let an agent click through my app and screenshot it', 'test my dev build on a remote sim with live reload', 'stream a sim to my browser' - even when they don't say 'EAS Simulator' or 'cloud'. On a host WITHOUT a local simulator (Linux, CI, cloud sandbox) it's the default; on macOS, do NOT auto-trigger for a plain 'run on the simulator' - use it only for a cloud/remote/shareable sim, an iOS version they lack, or an agent-driven session. NOT for local sims (expo run:ios, Xcode, Android Studio), EAS Build/Update, web preview, or physical devices.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-16T15:32:06Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/eas-simulator", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/eas-simulator/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "api", "cli", "eas", "simulator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 3, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/eas-update-insights", "name": "eas-update-insights", "description": "EAS service (paid). Check the health of published EAS Update: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per channel. Use when the user asks how an update is performing, whether a rollout is healthy, how many users are on the embedded build vs OTA, or wants to gate CI on update health.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/eas-update-insights", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/eas-update-insights/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "eas", "update", "insights" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/eas-workflows", "name": "eas-workflows", "description": "EAS service (paid). Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.", "provider": "expo", "category": "development", "license": "MIT License", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/eas-workflows", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/eas-workflows/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "yaml", "pr", "ci", "cd", "eas", "workflows" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-app-clip", "name": "expo-app-clip", "description": "Framework (OSS). Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL alongside their parent app.", "provider": "expo", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-app-clip", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-app-clip/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "cli", "art", "expo", "app", "clip" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-brownfield", "name": "expo-brownfield", "description": "Framework (OSS). Integrate Expo and React Native into an existing native iOS or Android app. Use when the user mentions brownfield, embedding React Native in a native app, AAR/XCFramework, or adding Expo to an existing Kotlin/Swift project. Covers both the isolated approach and the integrated approach.", "provider": "expo", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-brownfield", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-brownfield/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "expo", "brownfield" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-data-fetching", "name": "expo-data-fetching", "description": "Framework (OSS). Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (`useLoaderData`).", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-data-fetching", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-data-fetching/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "expo", "data", "fetching" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-dev-client", "name": "expo-dev-client", "description": "Framework (OSS). Build and distribute Expo development clients locally or via TestFlight for internal testing. For production TestFlight releases and store submission, use the eas-app-stores skill.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-dev-client", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-dev-client/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "cli", "expo", "dev", "client" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-dom", "name": "expo-dom", "description": "Framework (OSS). Use Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally. For the end-to-end migration of a whole web app, use the expo-web-to-native skill.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-dom", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-dom/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "expo", "dom" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-examples", "name": "expo-examples", "description": "Framework (OSS). Expo's official example projects - the expo/examples repo of ~70 `with-*` integrations (Stripe, Clerk, Supabase, OpenAI, maps, Reanimated, SQLite, Skia, NativeWind, and more). Use when integrating a third-party library or service into an existing Expo app and you want the canonical, version-matched pattern to adapt, or when scaffolding a new project from one with `npx create-expo --example`.", "provider": "expo", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-examples", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-examples/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "expo", "examples" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-migrate-module", "name": "expo-migrate-module", "description": "Framework (OSS). Migrate an existing Apple/Swift Expo native module from the Expo Modules API 1.0 definition DSL to the 2.0 macro API (sometimes called v2) while preserving its JavaScript and TypeScript contract. Use when converting or incrementally adopting @ExpoModule, @JS, @Event, @SharedObject, or @Record in an existing module. Do not use for creating a new module, general Expo SDK upgrades, or Android/Kotlin migrations.", "provider": "expo", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-20T05:29:36Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo-experiments/skills/expo-migrate-module", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo-experiments/skills/expo-migrate-module/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "convert", "expo", "migrate", "module" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-module", "name": "expo-module", "description": "Framework (OSS). Guide for creating and writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Use when building or modifying native modules for Expo. Not for migrating an existing Swift module from the definition DSL to the Expo Modules API 2.0 macros; use expo-migrate-module (from the expo-experiments plugin) for that.", "provider": "expo", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-20T05:29:36Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-module", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-module/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "expo", "module" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-native-ui", "name": "expo-native-ui", "description": "Framework (OSS). Build beautiful, native-feeling Expo screens. Covers Apple HIG styling, semantic colors, native controls, SF Symbols, media, animations, visual effects, gradients, storage, and responsive layout. For routing and navigation, use the expo-router skill.", "provider": "expo", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-native-ui", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-native-ui/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "visual", "expo", "native" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-project-structure", "name": "expo-project-structure", "description": "Framework (OSS). Folder structure for a new Expo app. Use when scaffolding or laying out a new Expo project with Expo Router, or deciding where a file should live in one. For new projects only \u2014 never restructure an existing app to match.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-14T14:58:19Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-project-structure", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-project-structure/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "expo", "project", "structure" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 5, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-router", "name": "expo-router", "description": "Framework (OSS). Navigation and routing for Expo Router. Covers file-based routes, groups and dynamic routes, folder organization, Link with previews and context menus, native Stack, page titles, modals and form sheets, NativeTabs, headers and toolbars, and header search bars.", "provider": "expo", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-router", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-router/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "expo", "router" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-skill-feedback", "name": "expo-skill-feedback", "description": "Framework (OSS). Submit feedback on an Expo skill \u2014 or on Expo itself \u2014 or turn the bundled anonymous usage telemetry on or off (off by default / opt-in; the user saying \"enable Expo skills telemetry\" in conversation is the switch). Use when an Expo skill was useful, confusing, broken, missing context, or worth improving; when something fell short because of Expo (an SDK bug or confusing framework behavior) rather than the skill; or when the user wants to enable, turn on, opt in to, disable, turn off, opt out of, check the status of, or understand the anonymous usage tracking these skills can send.", "provider": "expo", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-07-13T15:46:18Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-skill-feedback", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-skill-feedback/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "expo", "skill", "feedback" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 6, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-tailwind-setup", "name": "expo-tailwind-setup", "description": "Framework (OSS). Set up Tailwind CSS v4 in Expo with react-native-css and NativeWind v5 for universal styling", "provider": "expo", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-tailwind-setup", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-tailwind-setup/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "expo", "tailwind", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-ui", "name": "expo-ui", "description": "Framework (OSS). Build native UI with the @expo/ui package: real SwiftUI on iOS and Jetpack Compose on Android rendered from React in an Expo or React Native app. Covers universal cross-platform components (Host, Column, Row, Button, Text, List, and more imported from @expo/ui), drop-in replacements for popular React Native community libraries (BottomSheet, DateTimePicker, Slider, Menu, etc.), and platform-specific SwiftUI (@expo/ui/swift-ui, iOS only) and Jetpack Compose (@expo/ui/jetpack-compose, Android only) trees and modifiers. Use when adding or reviewing @expo/ui Host/RNHostView trees, building native-feeling UI where standard React Native components fall short (grouped settings forms with toggles, sections, menus, sheets, pickers, sliders), choosing between universal and platform-specific components, or replacing an RN community UI library with a native @expo/ui equivalent. Not for custom native modules, Expo Router navigation, Reanimated, or data fetching.", "provider": "expo", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-ui", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-ui/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "expo" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-upgrade", "name": "expo-upgrade", "description": "Framework (OSS). Guidelines for upgrading Expo SDK versions and fixing dependency issues", "provider": "expo", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-16T07:38:14Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-upgrade", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-upgrade/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "expo", "upgrade" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "expo/expo-web-to-native", "name": "expo-web-to-native", "description": "Framework (OSS). Migrate an existing web React app to a native iOS/Android app with Expo. Use when the user wants to turn a website into a mobile app, port a Next.js/Vite/CRA React codebase to React Native, reuse web code on native incrementally, or asks how web idioms (the DOM, CSS, React Router, localStorage, window) map to native. This is the end-to-end migration guide; use the `expo-dom` skill for the DOM-component mechanism itself.", "provider": "expo", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-07T16:18:52Z", "metadata": {}, "source": { "repo": "https://github.com/expo/skills", "path": "plugins/expo/skills/expo-web-to-native", "skill_md_url": "https://raw.githubusercontent.com/expo/skills/main/plugins/expo/skills/expo-web-to-native/SKILL.md", "commit_sha": "8bd359f8a44d2446de12f1fe6e6316daf043056e" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "expo", "web", "native" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2229 }, { "id": "nginity/a11y-audit", "name": "a11y-audit", "description": "Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.", "provider": "nginity", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:33:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/a11y-audit/skills/a11y-audit", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/a11y-audit/skills/a11y-audit/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "cd", "a11y", "audit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ab-test-setup", "name": "ab-test-setup", "description": "When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions \"A/B test,\" \"split test,\" \"experiment,\" \"test this change,\" \"variant copy,\" \"multivariate test,\" \"hypothesis,\" \"conversion experiment,\" \"statistical significance,\" or \"test this.\" For tracking implementation, see analytics-tracking.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/ab-test-setup", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/ab-test-setup/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "test", "design", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ad-creative", "name": "ad-creative", "description": "When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production \u2014 distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/ad-creative", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/ad-creative/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "creative" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/aeo", "name": "aeo", "description": "Answer Engine Optimization (AEO) skill \u2014 optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO \u2014 AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers \u2014 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/aeo", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/aeo/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "json", "ci", "aeo" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/agent-decision-receipts", "name": "agent-decision-receipts", "description": "Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-01T02:14:17Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/agent-decision-receipts", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/agent-decision-receipts/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "analysis", "agent", "decision", "receipts" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/agent-designer", "name": "agent-designer", "description": "Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/agent-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/agent-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "design", "agent", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/agent-harness", "name": "agent-harness", "description": "Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-03T06:10:46Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/agent-harness/skills/agent-harness", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/agent-harness/skills/agent-harness/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "agent", "harness" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 15, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/agent-workflow-designer", "name": "agent-workflow-designer", "description": "Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T05:08:23Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/agent-workflow-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/agent-workflow-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "agent", "workflow", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/agenthub", "name": "agenthub", "description": "Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel \u2014 code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "2.1.2", "author": "Alireza Rezvani", "category": "engineering", "updated": "2026-03-17" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/agenthub/skills/agenthub", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/agenthub/skills/agenthub/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "git", "pr", "merge", "agenthub" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/agile-product-owner", "name": "agile-product-owner", "description": "Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/agile-product-owner/skills/agile-product-owner", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/agile-product-owner/skills/agile-product-owner/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "agile", "product", "owner" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ai-security", "name": "ai-security", "description": "Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/ai-security", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/ai-security/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "security" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/analytics-tracking", "name": "analytics-tracking", "description": "Set up, audit, and debug analytics tracking implementation \u2014 GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data \u2014 use campaign-analytics for that. NOT for BI dashboards \u2014 use product-analytics for in-product event analysis.", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/analytics-tracking", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/analytics-tracking/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "analytics", "tracking" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/andreessen", "name": "andreessen", "description": "Marc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks \u2014 market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming \u2014 this skill exists to tell you the market is dead when it is.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-24T01:44:12Z", "metadata": { "version": "1.0.0", "build_pattern": "Persona skill \u2014 verbatim operating prompt + Andreessen canon", "inspired_by": "Marc Andreessen (a16z); custom operating prompt supplied by user" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/andreessen/skills/andreessen", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/andreessen/skills/andreessen/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "andreessen" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 55, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/api-design-reviewer", "name": "api-design-reviewer", "description": "Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/api-design-reviewer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/api-design-reviewer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "lint", "api", "design", "reviewer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/app-store-optimization", "name": "app-store-optimization", "description": "App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.", "provider": "nginity", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/app-store-optimization", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/app-store-optimization/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "test", "analysis", "app", "store", "optimization" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/apple-hig-expert", "name": "apple-hig-expert", "description": "Audits and designs iOS/macOS/watchOS/visionOS interfaces against the Apple Human Interface Guidelines, including the Liquid Glass design language (announced WWDC25, shipped with iOS 26/macOS Tahoe, Sept 2025). Use when reviewing an Apple-platform mockup or app for HIG compliance, checking contrast or tap-target sizes, or designing native-feeling Apple UI (e.g., 'audit my iOS app against the HIG', 'is this text readable on Liquid Glass?').", "provider": "nginity", "category": "mobile", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.1.0", "author": "Alireza Rezvani", "category": "design", "updated": "2026-06-11" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/apple-hig-expert/skills/apple-hig-expert", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/apple-hig-expert/skills/apple-hig-expert/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "design", "apple", "hig", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/arquiteto-de-empresa", "name": "arquiteto-de-empresa", "description": "Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle \u2014 a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, few questions per block, and generates the concepts as conformant markdown. Trigger when the user wants to create, structure, or document an entire company in folders and .md files; when they mention build my company from scratch, company as code, company knowledge base for AI to read, company wiki for agents, OKF, or knowledge bundle. In English.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-06T06:43:04Z", "metadata": { "version": "1.0.0", "author": "leoal", "category": "c-level", "domain": "venture-architecture", "updated": "2026-06-19", "python-tools": "scaffold_bundle.py, okf_linter.py, index_generator.py", "build_pattern": "Persona/interview \u2014 guides through phases and materializes a conformant OKF bundle", "language": "en" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/arquiteto-de-empresa/skills/arquiteto-de-empresa", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/arquiteto-de-empresa/skills/arquiteto-de-empresa/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "knowledge", "wiki", "arquiteto", "empresa" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 12, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/arquiteto-de-empresa", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/arquiteto-de-empresa", "name": "arquiteto-de-empresa", "description": "Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle \u2014 a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, few questions per block, and generates the concepts as conformant markdown. Trigger when the user wants to create, structure, or document an entire company in folders and .md files; when they mention build my company from scratch, company as code, company knowledge base for AI to read, company wiki for agents, OKF, or knowledge bundle. In English.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-06T06:43:04Z", "metadata": { "version": "1.0.0", "author": "leoal", "category": "c-level", "domain": "venture-architecture", "updated": "2026-06-19", "python-tools": "scaffold_bundle.py, okf_linter.py, index_generator.py", "build_pattern": "Persona/interview \u2014 guides through phases and materializes a conformant OKF bundle", "language": "en" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/arquiteto-de-empresa", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/arquiteto-de-empresa/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "knowledge", "wiki", "arquiteto", "empresa" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/arquiteto-de-empresa", "duplicate_of": "nginity/arquiteto-de-empresa", "duplicate_similarity": 0.97, "days_since_update": 12, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/arquiteto-de-empresa", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/atlassian-admin", "name": "atlassian-admin", "description": "Atlassian Administrator for managing and organizing Atlassian products (Jira, Confluence, Bitbucket, Trello), users, permissions, security, integrations, system configuration, and org-wide governance. Use when asked to add users to Jira, change Confluence permissions, configure access control, update admin settings, manage Atlassian groups, set up SSO, install marketplace apps, review security policies, or handle any org-wide Atlassian administration task.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/atlassian-admin", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/atlassian-admin/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "atlassian", "admin" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/atlassian-templates", "name": "atlassian-templates", "description": "Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/atlassian-templates", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/atlassian-templates/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "atlassian", "templates" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/autoresearch-agent", "name": "autoresearch-agent", "description": "Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "2.0.0", "author": "Alireza Rezvani", "category": "engineering", "updated": "2026-03-13" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/autoresearch-agent/skills/autoresearch-agent", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/autoresearch-agent/skills/autoresearch-agent/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "git", "pr", "test", "autoresearch", "agent" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/aws-solution-architect", "name": "aws-solution-architect", "description": "Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.", "provider": "nginity", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/aws-solution-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/aws-solution-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "cd", "api", "design", "art", "aws", "solution", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/azure-cloud-architect", "name": "azure-cloud-architect", "description": "Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.", "provider": "nginity", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/azure-cloud-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/azure-cloud-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "art", "azure", "cloud", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/board-deck-builder", "name": "board-deck-builder", "description": "Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Use when preparing board meetings, investor updates, quarterly business reviews, or fundraising narratives. Covers structure, narrative framework, bad news delivery, and common mistakes.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "board-governance", "updated": "2026-03-05", "frameworks": "deck-frameworks, board-deck-template" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/board-deck-builder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/board-deck-builder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "meeting", "board", "deck", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/board-meeting", "name": "board-meeting", "description": "Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:boardroom, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "board-protocol", "updated": "2026-03-05", "frameworks": "6-phase-board, two-layer-memory, independent-contributions" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/board-meeting", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/board-meeting/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "extract", "analysis", "meeting", "board" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/browser-automation", "name": "browser-automation", "description": "Use when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing \u2014 use playwright-pro for that.", "provider": "nginity", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/browser-automation", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/browser-automation/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "extract", "browser", "automation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/campaign-analytics", "name": "campaign-analytics", "description": "Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI, ROAS, CPA, and campaign metrics across channels.", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "domain": "campaign-analytics", "updated": "2026-02-06", "python-tools": "attribution_analyzer.py, funnel_analyzer.py, campaign_roi_calculator.py", "tech-stack": "marketing-analytics, attribution-modeling" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/campaign-analytics", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/campaign-analytics/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "analysis", "campaign", "analytics" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/capa-officer", "name": "capa-officer", "description": "CAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use when running CAPA investigations, 5-Why analysis, fishbone diagrams, root cause determination, corrective action tracking, effectiveness verification, or CAPA program optimization.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:59:15Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/capa-officer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/capa-officer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "capa", "officer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/capacity-planner", "name": "capacity-planner", "description": "Use when an ops leader (Director of CX, Head of Support, VP Ops, Head of BizOps, Head of IT ops, Head of Finance ops) is sizing ops capacity, building a headcount plan, modeling utilization risk, planning Q3 capacity or annual support capacity, or designing CS coverage \u2014 and needs Erlang-C queueing math, P90 demand sizing, shrinkage-adjusted FTE, manager-trigger thresholds, and a quarterly hiring sequence with ramp + attrition. Apply when sustained team utilization is above 80% or when the team is growing >50% in 12 months. Run before committing the headcount budget. This is NOT engineering capacity (see vpe-advisor for DORA + cycle time) and NOT strategic 3-year workforce planning (see chro-advisor).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-operations/skills/capacity-planner", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-operations/skills/capacity-planner/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "design", "art", "capacity", "planner" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/capture", "name": "capture", "description": "Captures and organizes chaotic brain dumps into a structured, actionable system with zero information loss. Use this skill whenever the user says 'capture this', 'brain dump', 'let me dump some ideas', 'I've got a bunch of thoughts', 'here's everything on my mind', 'idea dump', 'let me get this out of my head', 'I need to organize my thoughts', 'here's what I'm thinking', or any variation where someone is unloading a messy stream of ideas, tasks, thoughts, and plans wanting them turned into something coherent. Also trigger when the user pastes or dictates a long, unstructured block of mixed ideas \u2014 even without the exact phrase \u2014 the intent is the same. Fast-to-action by design: no upfront intake. Output is four sections (Projects/Ideas, Tasks, Connections, How I Can Help) ending with a directive question. Asks at most one mid-organization clarifying question when a single item is genuinely ambiguous between task and project.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-16T05:08:10Z", "metadata": { "source_spec": "megaprompts/05-capture-megaprompt.md", "build_pattern": "Path B (direct conversion)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/capture/skills/capture", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/capture/skills/capture/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "capture" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/caveman", "name": "caveman", "description": "Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says \"caveman mode\", \"talk like caveman\", \"use caveman\", \"less tokens\", \"be brief\", or invokes /caveman.\n", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-13T21:54:09Z", "metadata": { "derived_from": "https://github.com/mattpocock/skills/tree/main/skills/productivity/caveman", "original_author": "Matt Pocock (@mattpocock)", "original_license": "MIT", "voice": "Matt Pocock \u2014 terse, fragment-OK, no filler", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/caveman/skills/caveman", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/caveman/skills/caveman/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "caveman" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ceo-advisor", "name": "ceo-advisor", "description": "Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, fundraising, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "2.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "ceo-leadership", "updated": "2026-03-05", "python-tools": "strategy_analyzer.py, financial_scenario_analyzer.py", "frameworks": "executive-decisions, board-governance, leadership-culture" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/ceo-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/ceo-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "meeting", "ceo", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cfo-advisor", "name": "cfo-advisor", "description": "Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial strategy.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "cfo-leadership", "updated": "2026-03-05", "python-tools": "burn_rate_calculator.py, unit_economics_analyzer.py, fundraising_model.py", "frameworks": "financial-planning, fundraising-playbook, cash-management" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/cfo-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/cfo-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "cfo", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/changelog-generator", "name": "changelog-generator", "description": "Produce consistent, auditable release notes from Conventional Commits. Separates commit parsing, semantic-bump logic, and changelog rendering for automated releases with editorial control. Use when cutting a release, generating CHANGELOG.md from git history, computing the next semantic version from commits, automating release notes in CI, or planning a hotfix/rollback. Examples: 'generate the changelog for v1.4.0', 'what version bump do these commits require', 'we need an emergency hotfix process'.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/changelog-generator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/changelog-generator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "git", "pr", "ci", "merge", "changelog", "generator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/channel-economics", "name": "channel-economics", "description": "Use when reviewing or rebalancing direct vs. partner-led channel economics \u2014 computing fully-loaded cost-to-serve per channel, channel ROI with cash / LTV / marginal lenses, and optimal channel mix subject to constraints. For Head of Commercial, RevOps, and VP Sales doing quarterly channel review when pipeline is mixed (e.g., 60% direct + 40% partner-led) and nobody actually knows which channel makes money after CAC, support load, partner discount, deal-velocity differences, retention differential, and overhead allocation are all loaded in. Outputs cost to serve, channel ROI verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested channel-mix recommendation, and the diminishing-returns inflection (e.g., 'which channel actually makes money \u2014 direct or partner?').", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/channel-economics", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/channel-economics/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "test", "art", "channel", "economics" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/chaos-engineering", "name": "chaos-engineering", "description": "Use when planning, running, or learning from chaos engineering experiments. Triggers on \"chaos experiment\", \"fault injection\", \"gameday\", \"resilience test\", \"blast radius\", \"steady state\", \"abort criteria\", \"Chaos Toolkit\", \"Chaos Mesh\", \"Litmus\", \"Gremlin\", \"AWS FIS\", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/chaos-engineering/skills/chaos-engineering", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/chaos-engineering/skills/chaos-engineering/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "design", "chaos", "engineering" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chaos-engineering", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/chaos-engineering", "name": "chaos-engineering", "description": "Use when planning, running, or learning from chaos engineering experiments. Triggers on \"chaos experiment\", \"fault injection\", \"gameday\", \"resilience test\", \"blast radius\", \"steady state\", \"abort criteria\", \"Chaos Toolkit\", \"Chaos Mesh\", \"Litmus\", \"Gremlin\", \"AWS FIS\", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/chaos-engineering", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/chaos-engineering/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "design", "chaos", "engineering" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/chaos-engineering", "duplicate_of": "nginity/chaos-engineering", "duplicate_similarity": 0.97, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chaos-engineering", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/chief-ai-officer-advisor", "name": "chief-ai-officer-advisor", "description": "Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only \u2014 does not duplicate engineering AI/ML skills.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chief-ai-officer-leadership", "updated": "2026-05-12", "python-tools": "model_buildvsbuy_calculator.py, ai_risk_classifier.py, ai_cost_economics.py", "frameworks": "model-buildvsbuy, ai-risk-governance, ai-economics, ai-team-org" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/chief-ai-officer-advisor/skills/chief-ai-officer-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/chief-ai-officer-advisor/skills/chief-ai-officer-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "api", "art", "chief", "officer", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chief-ai-officer-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/chief-ai-officer-advisor", "name": "chief-ai-officer-advisor", "description": "Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only \u2014 does not duplicate engineering AI/ML skills.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chief-ai-officer-leadership", "updated": "2026-05-12", "python-tools": "model_buildvsbuy_calculator.py, ai_risk_classifier.py, ai_cost_economics.py", "frameworks": "model-buildvsbuy, ai-risk-governance, ai-economics, ai-team-org" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/chief-ai-officer-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/chief-ai-officer-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "api", "art", "chief", "officer", "advisor" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/chief-ai-officer-advisor", "duplicate_of": "nginity/chief-ai-officer-advisor", "duplicate_similarity": 0.97, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chief-ai-officer-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/chief-customer-officer-advisor", "name": "chief-customer-officer-advisor", "description": "Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only \u2014 does not duplicate engineering/business-growth tactical skills.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chief-customer-officer-leadership", "updated": "2026-05-13", "python-tools": "retention_decomposition_analyzer.py, customer_segmentation_designer.py, cs_coverage_calculator.py", "frameworks": "retention-decomposition, customer-segmentation, cs-coverage-model, cs-team-org" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/chief-customer-officer-advisor/skills/chief-customer-officer-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/chief-customer-officer-advisor/skills/chief-customer-officer-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "design", "art", "chief", "customer", "officer", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chief-customer-officer-advisor", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/chief-customer-officer-advisor", "name": "chief-customer-officer-advisor", "description": "Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only \u2014 does not duplicate engineering/business-growth tactical skills.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chief-customer-officer-leadership", "updated": "2026-05-13", "python-tools": "retention_decomposition_analyzer.py, customer_segmentation_designer.py, cs_coverage_calculator.py", "frameworks": "retention-decomposition, customer-segmentation, cs-coverage-model, cs-team-org" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/chief-customer-officer-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/chief-customer-officer-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "design", "art", "chief", "customer", "officer", "advisor" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/chief-customer-officer-advisor", "duplicate_of": "nginity/chief-customer-officer-advisor", "duplicate_similarity": 0.96, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chief-customer-officer-advisor", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/chief-data-officer-advisor", "name": "chief-data-officer-advisor", "description": "Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill \u2014 strategic decisions only.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chief-data-officer-leadership", "updated": "2026-05-12", "python-tools": "ai_training_data_audit.py, data_product_strategy_picker.py, data_asset_valuator.py", "frameworks": "training-data-rights-matrix, data-product-strategy, customer-data-as-asset, data-team-org-evolution" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/chief-data-officer-advisor/skills/chief-data-officer-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/chief-data-officer-advisor/skills/chief-data-officer-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "art", "chief", "data", "officer", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chief-data-officer-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/chief-data-officer-advisor", "name": "chief-data-officer-advisor", "description": "Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill \u2014 strategic decisions only.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chief-data-officer-leadership", "updated": "2026-05-12", "python-tools": "ai_training_data_audit.py, data_product_strategy_picker.py, data_asset_valuator.py", "frameworks": "training-data-rights-matrix, data-product-strategy, customer-data-as-asset, data-team-org-evolution" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/chief-data-officer-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/chief-data-officer-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "art", "chief", "data", "officer", "advisor" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/chief-data-officer-advisor", "duplicate_of": "nginity/chief-data-officer-advisor", "duplicate_similarity": 0.97, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/chief-data-officer-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/chro-advisor", "name": "chro-advisor", "description": "People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "chro-leadership", "updated": "2026-03-05", "python-tools": "hiring_plan_modeler.py, comp_benchmarker.py", "frameworks": "people-strategy, comp-frameworks, org-design" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/chro-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/chro-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "design", "chro", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/churn-prevention", "name": "churn-prevention", "description": "Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences. Use when designing or optimizing a cancel flow, building save offers, setting up dunning emails, or reducing failed-payment churn. Trigger keywords: cancel flow, churn reduction, save offers, dunning, exit survey, payment recovery, win-back, involuntary churn, failed payments, cancel page. NOT for customer health scoring or expansion revenue \u2014 use customer-success-manager for that.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/churn-prevention", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/churn-prevention/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "email", "churn", "prevention" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ci-cd-pipeline-builder", "name": "ci-cd-pipeline-builder", "description": "Generate pragmatic CI/CD pipelines from detected project stack signals \u2014 fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T18:18:40Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/ci-cd-pipeline-builder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/ci-cd-pipeline-builder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "pipeline", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ciso-advisor", "name": "ciso-advisor", "description": "Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap (SOC 2/ISO 27001/HIPAA/GDPR), security architecture strategy, incident response leadership, and board-level security reporting. Use when building security programs, justifying security budget, selecting compliance frameworks, managing incidents, assessing vendor risk, or when user mentions CISO, security strategy, compliance roadmap, zero trust, or board security reporting.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "ciso-leadership", "updated": "2026-03-05", "python-tools": "risk_quantifier.py, compliance_tracker.py", "frameworks": "risk-based-security, zero-trust, defense-in-depth" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/ciso-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/ciso-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "ciso", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/claude-coach", "name": "claude-coach", "description": "Personal coach that teaches users to become Claude power users. Use this skill the FIRST time a user asks to \"learn Claude\", \"be a power user\", \"coach me\", \"teach me Claude tricks\", \"what can Claude do\", \"make me better at prompting\", or any variation. After activation, also use it on EVERY subsequent turn to detect missed optimization opportunities (vague prompts, ignored capabilities, manual work Claude could automate) and surface a single power-user tip. Trigger generously \u2014 most users do not know what they do not know, so err on the side of coaching.", "provider": "nginity", "category": "other", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/claude-coach/skills/claude-coach", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/claude-coach/skills/claude-coach/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "claude", "coach" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/clinical-research", "name": "clinical-research", "description": "Use when designing a prospective clinical study before submission \u2014 selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) \u2014 never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T00:54:22Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research-ops/skills/clinical-research", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research-ops/skills/clinical-research/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "cli", "design", "clinical", "research" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cloud-security", "name": "cloud-security", "description": "Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.", "provider": "nginity", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/cloud-security", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/cloud-security/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "cloud", "security" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cmo-advisor", "name": "cmo-advisor", "description": "Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "cmo-leadership", "updated": "2026-03-05", "python-tools": "marketing_budget_modeler.py, growth_model_simulator.py", "frameworks": "brand-positioning, growth-frameworks, marketing-org" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/cmo-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/cmo-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "design", "brand", "cmo", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/code-reviewer", "name": "code-reviewer", "description": "Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.", "provider": "nginity", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-05-28T14:27:26Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/code-reviewer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/code-reviewer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "pr", "art", "code", "reviewer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 50, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/code-to-prd", "name": "code-to-prd", "description": "Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Use when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.", "provider": "nginity", "category": "web", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "updated": "2026-03-17", "tier": "STANDARD", "category": "product", "dependencies": "none", "author": "Alireza Rezvani", "version": "2.1.2" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/code-to-prd/skills/code-to-prd", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/code-to-prd/skills/code-to-prd/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "api", "document", "extract", "code", "prd" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/codebase-onboarding", "name": "codebase-onboarding", "description": "Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors. Fast fact-gathering and repeatable onboarding outputs. Use when onboarding a new engineer, writing architecture-overview docs for a new project, or producing tech-lead briefings for unfamiliar repos.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T04:52:51Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/codebase-onboarding", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/codebase-onboarding/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "document", "codebase", "onboarding" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cold-email", "name": "cold-email", "description": "When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) \u2014 this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/cold-email", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/cold-email/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "email", "cold" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/commercial-forecaster", "name": "commercial-forecaster", "description": "Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number \u2014 especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-19T04:03:09Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/commercial-forecaster", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/commercial-forecaster/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "analysis", "commercial", "forecaster" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 60, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/commercial-policy", "name": "commercial-policy", "description": "Use when designing or revising a company's commercial policy \u2014 the rules of engagement governing discounts off list price, approver thresholds, exception flows, and the deal framework that Deal Desk and AEs operate under. Covers discount matrix design (ARR band x term length x payment terms x strategic value), commercial policy design, exception policy, discount governance, approval thresholds, deal framework structure, and policy linting (contradictions, gaps, cliff edges, gaming surfaces). For Head of Commercial, Head of Deal Desk, VP Sales, or RevOps at the policy-design moment \u2014 NOT per-deal application (that is deal-desk) and NOT pricing model selection (that is pricing-strategist).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-19T04:03:09Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/commercial-policy", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/commercial-policy/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "lint", "cli", "design", "commercial", "policy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 60, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/competitive-intel", "name": "competitive-intel", "description": "Systematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "competitive-strategy", "updated": "2026-03-05", "frameworks": "ci-playbook, battlecard-template" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/competitive-intel", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/competitive-intel/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "ci", "analysis", "competitive", "intel" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/competitive-teardown", "name": "competitive-teardown", "description": "Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/competitive-teardown", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/competitive-teardown/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "analysis", "competitive", "teardown" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/competitor-alternatives", "name": "competitor-alternatives", "description": "When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'switch from competitor,' or 'comparison content.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.", "provider": "nginity", "category": "other", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/competitor-alternatives", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/competitor-alternatives/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "competitor", "alternatives" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/compliance-os", "name": "compliance-os", "description": "Compliance OS \u2014 meta-orchestrator that lets compliance teams CONFIGURE which frameworks apply, COMPUTE cross-framework control overlap, SIMULATE internal audits, and CONSOLIDATE evidence across multiple frameworks. Four decisions: (1) Given a company profile, which of the 12 supported frameworks apply (ISO 27001/13485/42001/14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR, NIST CSF 2.0, NIS2, HIPAA)? (2) Across selected frameworks, which controls overlap and how much evidence reuses? (3) For a given framework + scope, what does a realistic mock audit produce \u2014 drawing from the 205-scenario library? (4) Across selected frameworks, what's the unified evidence checklist with reuse map? Use when standing up a multi-framework program, planning the annual audit calendar, or preparing for certification stage 1. Does NOT replace per-framework skills (it orchestrates them).", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "compliance-os", "domain": "multi-framework-compliance-orchestration", "updated": "2026-05-13", "python-tools": "framework_selector.py, cross_framework_mapper.py, audit_simulator.py, evidence_pool_generator.py", "frameworks": "iso-27001, iso-13485, iso-42001, iso-14971, eu-ai-act, eu-mdr-745, gdpr, soc-2, fda-qsr, nist-csf, nis2, hipaa" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "compliance-os/skills/compliance-os", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/compliance-os/skills/compliance-os/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "compliance" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/confluence-expert", "name": "confluence-expert", "description": "Atlassian Confluence expert for creating and managing spaces, knowledge bases, and documentation. Configures space permissions and hierarchies, creates page templates with macros, sets up documentation taxonomies, designs page layouts, and manages content governance. Use when users need to build or restructure a Confluence space, design page hierarchies with permission structures, author or standardise documentation templates, embed Jira reports in pages, run knowledge base audits, or establish documentation standards and collaborative workflows.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/confluence-expert", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/confluence-expert/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "design", "document", "knowledge", "confluence", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/content-creator", "name": "content-creator", "description": "Deprecated redirect skill that routes legacy 'content creator' requests to the correct specialist. Use when a user invokes 'content creator', asks to write a blog post, article, guide, or brand voice analysis (routes to content-production), or asks to plan content, build a topic cluster, or create a content calendar (routes to content-strategy). Does not handle requests directly \u2014 identifies user intent and redirects to content-production for writing/SEO/brand-voice tasks or content-strategy for planning tasks.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "2.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06", "status": "deprecated" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/content-creator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/content-creator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "brand", "analysis", "content", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/content-humanizer", "name": "content-humanizer", "description": "Makes AI-generated content sound genuinely human \u2014 not just cleaned up, but alive. Use when content feels robotic, uses too many AI clich\u00e9s, lacks personality, or reads like it was written by committee. Triggers: 'this sounds like AI', 'make it more human', 'add personality', 'it feels generic', 'sounds robotic', 'fix AI writing', 'inject our voice'. NOT for initial content creation (use content-production). NOT for SEO optimization (use content-production Mode 3).", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/content-humanizer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/content-humanizer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "cli", "content", "humanizer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/content-production", "name": "content-production", "description": "Full content production pipeline \u2014 takes a topic from blank page to published-ready piece. Use when you need to execute content: write a blog post, article, or guide end-to-end. Triggers: 'write a post about', 'draft an article', 'create content for', 'help me write', 'I need a blog post'. NOT for content strategy or calendar planning (use content-strategy). NOT for repurposing existing content (use content-repurposing). NOT for social captions only.", "provider": "nginity", "category": "devops", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/content-production", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/content-production/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "content", "production" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/content-strategy", "name": "content-strategy", "description": "When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions \"content strategy,\" \"what should I write about,\" \"content ideas,\" \"blog strategy,\" \"topic clusters,\" or \"content planning.\" For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/content-strategy", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/content-strategy/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "content", "strategy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/coo-advisor", "name": "coo-advisor", "description": "Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, setting up OKRs, building processes, scaling teams, analyzing bottlenecks, planning operational cadence, or when user mentions COO, operations, process improvement, OKRs, scaling, operational efficiency, or execution.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "coo-leadership", "updated": "2026-03-05", "python-tools": "ops_efficiency_analyzer.py, okr_tracker.py", "frameworks": "scaling-playbook, ops-cadence, process-frameworks" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/coo-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/coo-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "coo", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/copy-editing", "name": "copy-editing", "description": "When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/copy-editing", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/copy-editing/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "copy", "editing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/copywriting", "name": "copywriting", "description": "When the user wants to write, rewrite, or improve marketing copy for any page \u2014 including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says \"write copy for,\" \"improve this copy,\" \"rewrite this page,\" \"marketing copy,\" \"headline help,\" or \"CTA copy.\" For email copy, see email-sequence. For popup copy, see popup-cro.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/copywriting", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/copywriting/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "email", "copywriting" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cpo-advisor", "name": "cpo-advisor", "description": "Product leadership for scaling companies. Product vision, portfolio strategy, product-market fit, and product org design. Use when setting product vision, managing a product portfolio, measuring PMF, designing product teams, prioritizing at the portfolio level, reporting to the board on product, or when user mentions CPO, product strategy, product-market fit, product organization, portfolio prioritization, or roadmap strategy.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "cpo-leadership", "updated": "2026-03-05", "python-tools": "pmf_scorer.py, portfolio_analyzer.py", "frameworks": "pmf-playbook, product-strategy, product-org-design" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/cpo-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/cpo-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "cpo", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cro-advisor", "name": "cro-advisor", "description": "Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "cro-leadership", "updated": "2026-03-05", "python-tools": "revenue_forecast_model.py, churn_analyzer.py", "frameworks": "sales-playbook, pricing-strategy, nrr-playbook" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/cro-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/cro-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "cro", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cs-onboard", "name": "cs-onboard", "description": "Founder onboarding interview that captures company context across 7 dimensions. Invoke with /cs:setup for initial interview or /cs:update for quarterly refresh. Generates ~/.claude/company-context.md used by all C-suite advisor skills. Use when setting up the C-suite advisors for the first time, or when company context is missing or more than 90 days old \u2014 e.g. after a fundraise or pivot.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "orchestration", "updated": "2026-03-05", "frameworks": "founder-interview, context-capture, quarterly-refresh" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/cs-onboard", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/cs-onboard/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "art", "onboard" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/cto-advisor", "name": "cto-advisor", "description": "Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "2.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "cto-leadership", "updated": "2026-03-05", "python-tools": "tech_debt_analyzer.py, team_scaling_calculator.py", "frameworks": "architecture-decisions, engineering-metrics, technology-evaluation" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/cto-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/cto-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "cto", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/culture-architect", "name": "culture-architect", "description": "Build, measure, and evolve company culture as operational behavior \u2014 not wall posters. Covers mission/vision/values workshops, values-to-behaviors translation, culture code creation, culture health assessment, and cultural rituals by stage. Use when building company values, assessing culture health, designing cultural rituals, creating culture codes, handling culture clashes, or when user mentions culture, values, culture debt, founder culture, or culture code.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "culture-leadership", "updated": "2026-03-05", "frameworks": "culture-playbook, culture-code-template" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/culture-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/culture-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "design", "culture", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/customer-success-manager", "name": "customer-success-manager", "description": "Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "business-growth", "domain": "customer-success", "updated": "2026-02-06", "python-tools": "health_score_calculator.py, churn_risk_analyzer.py, expansion_opportunity_scorer.py", "tech-stack": "customer-success, saas-metrics, health-scoring" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-growth/skills/customer-success-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-growth/skills/customer-success-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "cli", "analysis", "customer", "success", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/data-quality-auditor", "name": "data-quality-auditor", "description": "Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan. Use when the user asks to check data quality, profile a dataset, hunt outliers or missing values, or validate data before analysis or model training.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/data-quality-auditor/skills/data-quality-auditor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/data-quality-auditor/skills/data-quality-auditor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "data", "quality", "auditor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/database-designer", "name": "database-designer", "description": "Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/database-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/database-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "design", "database", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/deal-desk", "name": "deal-desk", "description": "Use when reviewing a specific inbound deal before close \u2014 when sales has asked for a discount that exceeds AE authority, when the customer has redlined the MSA, when per-deal economics (margin after discount, multi-year payment shape, indemnity exposure) need to be quantified, or when discount approval needs to be routed to a named human approver (Sales Director, VP Sales, CFO, CRO, General Counsel). Covers deal review, discount approval routing, per-deal margin scoring, deal exception handling, MSA redline triage, contract landmine detection (uncapped indemnity, MFN, perpetual license-back, missing DPA), and named-approver chain assembly. NEVER auto-approves \u2014 every output is a numeric scorecard plus a routing recommendation to a named human.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/deal-desk", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/deal-desk/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "deal", "desk" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/decision-logger", "name": "decision-logger", "description": "Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "decision-memory", "updated": "2026-03-05", "python-tools": "scripts/decision_tracker.py" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/decision-logger", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/decision-logger/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "pr", "ci", "meeting", "decision", "logger" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/deep-research", "name": "deep-research", "description": "Run a disciplined, multi-source research investigation for a high-stakes question or decision \u2014 fan-out web search across many channels, parallel sub-agents, source triangulation (each claim backed by \u22653 independent sources), an adversarial review pass, and every source saved to its own file with verbatim quotes for reuse. Use when a low-quality answer is expensive: strategy work, comparing N products/methods/markets, validating a hypothesis with external data, or mapping how a field works. NOT for quick fact-checks (answer directly), structured 12-dimension competitor scoring (use competitive-teardown), or fast topic overviews where the decision risk is low (use the research router instead).", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-01T05:46:54Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/deep-research/skills/deep-research", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/deep-research/skills/deep-research/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "deep", "research" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/deep-work", "name": "deep-work", "description": "Use when someone wants to plan a deep work day, time-block their calendar or task list, budget or cut shallow work, protect focus hours, track deep-work sessions and streaks, run an end-of-day shutdown ritual, or says \"/deep-work\" or \"/time-block\". Classifies tasks deep vs shallow, builds an energy-first time-blocked schedule that refuses deep demand past the 4-hour ceiling, batches shallow work into at most two windows, and logs focus sessions against a weekly target.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-17T06:13:36Z", "metadata": { "version": "1.0.0", "build_pattern": "Path-B method skill \u2014 Cal Newport time-block discipline preserved + deterministic scheduling scripts added", "distinct_from": "andreessen 3x5 card (picks WHAT to do today; deep-work plans WHEN and HOW with attention protected); project-management capacity planning (team capacity; this is one person's attention)" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/deep-work/skills/deep-work", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/deep-work/skills/deep-work/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "deep", "work" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/dependency-auditor", "name": "dependency-auditor", "description": "Audit and manage dependencies across multi-language projects. Identifies vulnerabilities, license conflicts, transitive dependency risks, and safe-upgrade paths. Use when auditing third-party packages before release, investigating a CVE, planning a major version bump, or running a license-compliance review. Examples: 'audit our npm dependencies', 'do we have GPL contamination', 'plan the upgrade to React 19'.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/dependency-auditor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/dependency-auditor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "dependency", "auditor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/docker-development", "name": "docker-development", "description": "Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns.", "provider": "nginity", "category": "security", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:33:59Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "engineering", "updated": "2026-03-16" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/docker-development/skills/docker-development", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/docker-development/skills/docker-development/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "docker", "development" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/dossier", "name": "dossier", "description": "Decision-grade entity research skill \u2014 produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network and reputation signals, red flags, conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica) as workhorses; optional BYOK MCPs enhance coverage. Use when the user asks for background research, diligence, or meeting prep on a specific entity (e.g., 'prep me for a meeting with [person/company]', 'due diligence on [company]'). Honors sensitivity exclusions for journalism + personal-vetting contexts.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/12-dossier-megaprompt.md", "build_pattern": "Path B (direct conversion)", "research_pack_convention": "Agent Integrity Rules verbatim per PR #657 audit; hypothesis-testing variant", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/dossier/skills/dossier", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/dossier/skills/dossier/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "docx", "github", "git", "pr", "ci", "test", "api", "mcp", "document", "meeting" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/email-sequence", "name": "email-sequence", "description": "When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions \"email sequence,\" \"drip campaign,\" \"nurture sequence,\" \"onboarding emails,\" \"welcome sequence,\" \"re-engagement emails,\" \"email automation,\" or \"lifecycle emails.\" For in-app onboarding, see onboarding-cro.", "provider": "nginity", "category": "enterprise", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/email-sequence", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/email-sequence/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "email", "sequence" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/env-secrets-manager", "name": "env-secrets-manager", "description": "Manage environment-variable hygiene and secrets safety across local development and production. Practical auditing, drift awareness, rotation readiness. Use when auditing .env files for committed secrets, planning a credential rotation, debugging missing-env-var production incidents, or hardening a new project against secrets leakage.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T05:08:23Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/env-secrets-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/env-secrets-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "env", "secrets", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/epic-design", "name": "epic-design", "description": "Build immersive, cinematic 2.5D interactive websites using scroll storytelling, parallax depth, text animations, and premium scroll effects \u2014 no WebGL required. Use this skill for any web design task: landing pages, product sites, hero sections, scroll animations, parallax, sticky sections, section overlaps, floating products between sections, clip-path reveals, text that flies in from sides, words that light up on scroll, curtain drops, iris opens, card stacks, bleed typography, and any site that should feel cinematic or premium. Trigger on phrases like \"make it feel alive\", \"Apple-style animation\", \"sections that overlap\", \"product rises between sections\", \"immersive\", \"scrollytelling\", or any scroll-driven visual effect. Covers 45+ techniques across 8 categories. Always inspects, judges, and plans assets before coding. Use aggressively for ANY web design task.\n", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": { "version": "1.0.0", "author": "Abbas Mir", "category": "engineering-team", "updated": "2026-03-13" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/epic-design", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/epic-design/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cli", "design", "visual", "epic" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/eu-ai-act-specialist", "name": "eu-ai-act-specialist", "description": "EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system \u2014 prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems, what's the Article 43 conformity assessment route (Module A internal control vs Module H full QMS + notified body) and what goes in the Annex IV technical documentation? (3) Per organizational role (provider / deployer / importer / distributor / authorized representative), what are the active obligations and deadlines? Use during AI system intake review, when planning conformity assessment, or when scoping deployer obligations. Cites Articles + Annexes for every output. NOT executive AI strategy (see chief-ai-officer-advisor). NOT a legal substitute.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "ra-qm-team", "domain": "eu-ai-act-compliance", "updated": "2026-05-13", "python-tools": "ai_system_risk_classifier.py, conformity_assessment_planner.py, ai_act_obligation_tracker.py", "frameworks": "eu-ai-act, gdpr-overlap, iso-42001-mapping, nist-ai-rmf-mapping" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/compliance-team-eu-ai-act/skills/eu-ai-act-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/compliance-team-eu-ai-act/skills/eu-ai-act-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "document", "act", "specialist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/eu-ai-act-specialist", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/eu-ai-act-specialist", "name": "eu-ai-act-specialist", "description": "EU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system \u2014 prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems, what's the Article 43 conformity assessment route (Module A internal control vs Module H full QMS + notified body) and what goes in the Annex IV technical documentation? (3) Per organizational role (provider / deployer / importer / distributor / authorized representative), what are the active obligations and deadlines? Use during AI system intake review, when planning conformity assessment, or when scoping deployer obligations. Cites Articles + Annexes for every output. NOT executive AI strategy (see chief-ai-officer-advisor). NOT a legal substitute.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "ra-qm-team", "domain": "eu-ai-act-compliance", "updated": "2026-05-13", "python-tools": "ai_system_risk_classifier.py, conformity_assessment_planner.py, ai_act_obligation_tracker.py", "frameworks": "eu-ai-act, gdpr-overlap, iso-42001-mapping, nist-ai-rmf-mapping" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/eu-ai-act-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/eu-ai-act-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "document", "act", "specialist" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/eu-ai-act-specialist", "duplicate_of": "nginity/eu-ai-act-specialist", "duplicate_similarity": 0.96, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/eu-ai-act-specialist", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/executive-mentor", "name": "executive-mentor", "description": "Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for brutal board meetings, dissects decisions with no good options, and forces honest post-mortems. Use when you need someone to find the holes before the board does, make a decision you've been avoiding, or understand what actually went wrong.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "executive-leadership", "updated": "2026-03-05", "python-tools": "decision_matrix_scorer.py, stakeholder_mapper.py", "frameworks": "pre-mortem, board-prep, hard-call, stress-test, postmortem" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/executive-mentor/skills/executive-mentor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/executive-mentor/skills/executive-mentor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "art", "meeting", "executive", "mentor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/experiment-designer", "name": "experiment-designer", "description": "Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/experiment-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/experiment-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "design", "experiment", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/fable-goal", "name": "fable-goal", "description": "Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Use when the user says \"/fable-goal\", \"turn this into a goal prompt\", \"write me a fable prompt\", \"write the prompt that builds X\", or rambles about something they want made and asks for the prompt that makes it happen. The output is a single copy-paste prompt, never the build itself. Do NOT use when the user wants the thing built right now in this session \u2014 only when they want the PROMPT that will make it happen in a fresh session.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T06:38:25Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/fable-goal/skills/fable-goal", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/fable-goal/skills/fable-goal/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "convert", "fable", "goal" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/fda-consultant-specialist", "name": "fda-consultant-specialist", "description": "FDA regulatory consultant for medical device companies. Provides 510(k)/PMA/De Novo pathway guidance, QMSR (21 CFR 820, which incorporates ISO 13485:2016 by reference since 2026-02-02; formerly QSR) compliance, HIPAA assessments, and device cybersecurity. Use when user mentions FDA submission, 510(k), PMA, De Novo, QMSR, QSR, ISO 13485 for FDA, premarket, predicate device, substantial equivalence, HIPAA medical device, or FDA cybersecurity.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:11:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/fda-consultant-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/fda-consultant-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "fda", "consultant", "specialist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/feature-flags-architect", "name": "feature-flags-architect", "description": "Use when adding, retiring, or auditing feature flags. Triggers on \"add a flag\", \"ship behind a flag\", \"rollout plan\", \"kill switch\", \"stale flags\", \"flag debt\", \"LaunchDarkly\", \"GrowthBook\", \"Statsig\", \"Unleash\", \"Flipt\", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.", "provider": "nginity", "category": "security", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/feature-flags-architect/skills/feature-flags-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/feature-flags-architect/skills/feature-flags-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "feature", "flags", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/feature-flags-architect", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/feature-flags-architect", "name": "feature-flags-architect", "description": "Use when adding, retiring, or auditing feature flags. Triggers on \"add a flag\", \"ship behind a flag\", \"rollout plan\", \"kill switch\", \"stale flags\", \"flag debt\", \"LaunchDarkly\", \"GrowthBook\", \"Statsig\", \"Unleash\", \"Flipt\", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command.", "provider": "nginity", "category": "security", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/feature-flags-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/feature-flags-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "feature", "flags", "architect" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/feature-flags-architect", "duplicate_of": "nginity/feature-flags-architect", "duplicate_similarity": 0.97, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/feature-flags-architect", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/financial-analyst", "name": "financial-analyst", "description": "Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "finance/skills/financial-analyst", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/finance/skills/financial-analyst/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "analysis", "financial", "analyst" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/form-cro", "name": "form-cro", "description": "When the user wants to optimize any form that is NOT signup/registration \u2014 including lead capture forms, contact forms, demo request forms, application forms, survey forms, or checkout forms. Also use when the user mentions \"form optimization,\" \"lead form conversions,\" \"form friction,\" \"form fields,\" \"form completion rate,\" or \"contact form.\" For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/form-cro", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/form-cro/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "form", "cro" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/free-tool-strategy", "name": "free-tool-strategy", "description": "When the user wants to build a free tool for marketing \u2014 lead generation, SEO value, or brand awareness. Use when they mention 'engineering as marketing,' 'free tool,' 'calculator,' 'generator,' 'checker,' 'grader,' 'marketing tool,' 'lead gen tool,' 'build something for traffic,' 'interactive tool,' or 'free resource.' Covers idea evaluation, tool design, and launch strategy. For pure SEO content strategy (no tool), use seo-audit or content-strategy instead.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/free-tool-strategy", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/free-tool-strategy/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "design", "brand", "free", "tool", "strategy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/gcp-cloud-architect", "name": "gcp-cloud-architect", "description": "Design GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.", "provider": "nginity", "category": "devops", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/gcp-cloud-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/gcp-cloud-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "art", "gcp", "cloud", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/gdpr-dsgvo-expert", "name": "gdpr-dsgvo-expert", "description": "GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/gdpr-dsgvo-expert", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/gdpr-dsgvo-expert/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "document", "gdpr", "dsgvo", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/general-counsel-advisor", "name": "general-counsel-advisor", "description": "General Counsel advisory for startups: contract review (MSA, SaaS, NDA, DPA, employment), IP strategy, term sheet decoding, and regulatory landscape mapping. Use when reviewing any contract or term sheet, deciding when to engage outside counsel, defining IP strategy, evaluating regulatory exposure (HIPAA, GDPR, FDA, fintech), or when user mentions general counsel, GC, legal review, contract risk, term sheet, IP assignment, or regulatory exposure. NOT a substitute for licensed counsel \u2014 surfaces questions to bring to qualified attorneys.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "general-counsel-leadership", "updated": "2026-05-12", "python-tools": "contract_risk_scanner.py, term_sheet_analyzer.py", "frameworks": "contract-review, ip-strategy, term-sheet-decoding, regulatory-mapping" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/general-counsel-advisor/skills/general-counsel-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/general-counsel-advisor/skills/general-counsel-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "general", "counsel", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/general-counsel-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/general-counsel-advisor", "name": "general-counsel-advisor", "description": "General Counsel advisory for startups: contract review (MSA, SaaS, NDA, DPA, employment), IP strategy, term sheet decoding, and regulatory landscape mapping. Use when reviewing any contract or term sheet, deciding when to engage outside counsel, defining IP strategy, evaluating regulatory exposure (HIPAA, GDPR, FDA, fintech), or when user mentions general counsel, GC, legal review, contract risk, term sheet, IP assignment, or regulatory exposure. NOT a substitute for licensed counsel \u2014 surfaces questions to bring to qualified attorneys.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "general-counsel-leadership", "updated": "2026-05-12", "python-tools": "contract_risk_scanner.py, term_sheet_analyzer.py", "frameworks": "contract-review, ip-strategy, term-sheet-decoding, regulatory-mapping" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/general-counsel-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/general-counsel-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "general", "counsel", "advisor" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/general-counsel-advisor", "duplicate_of": "nginity/general-counsel-advisor", "duplicate_similarity": 0.97, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/general-counsel-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/git-worktree-manager", "name": "git-worktree-manager", "description": "Run parallel feature work safely with Git worktrees. Standardizes branch isolation, port allocation, environment sync, and cleanup so each worktree behaves like an independent local app. Optimized for multi-agent workflows where each agent or terminal session owns one worktree. Use when running multiple feature branches simultaneously, isolating experimental work, or coordinating multi-agent development across the same repo.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T05:08:23Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/git-worktree-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/git-worktree-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "git", "worktree", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/google-workspace-cli", "name": "google-workspace-cli", "description": "Google Workspace administration via the gws CLI (github.com/googleworkspace/cli). Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits and use local recipe templates and persona bundles. Use for Google Workspace admin, gws CLI setup, Gmail automation, Drive management, or Calendar scheduling.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/google-workspace-cli/skills/google-workspace-cli", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/google-workspace-cli/skills/google-workspace-cli/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "github", "git", "ci", "cli", "google", "workspace" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/grants", "name": "grants", "description": "NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope \u2014 non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/08-grants-megaprompt.md", "build_pattern": "Path B (direct conversion)", "research_pack_convention": "Agent Integrity Rules verbatim per PR #657 audit", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/grants/skills/grants", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/grants/skills/grants/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "docx", "pr", "cd", "cli", "document", "analysis", "grants" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/grill-me", "name": "grill-me", "description": "Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions \"grill me\".", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-13T21:54:09Z", "metadata": { "derived_from": "https://github.com/mattpocock/skills/tree/main/skills/productivity/grill-me", "original_author": "Matt Pocock (@mattpocock)", "original_license": "MIT", "voice": "Matt Pocock \u2014 relentless, one-at-a-time, explores-codebase-first", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/grill-me/skills/grill-me", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/grill-me/skills/grill-me/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "test", "design", "grill" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/grill-with-docs", "name": "grill-with-docs", "description": "Docs-anchored grilling session \u2014 challenges a plan against the project's existing language (CONTEXT.md) and recorded decisions (docs/adr/), and updates those files inline as terminology and decisions crystallise. Use when user wants to stress-test a plan against documented domain language, or mentions \"grill with docs\".", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-15T13:08:31Z", "metadata": { "derived_from": "https://github.com/mattpocock/skills/tree/main/skills/engineering/grill-with-docs", "original_author": "Matt Pocock (@mattpocock)", "original_license": "MIT", "voice": "Matt Pocock \u2014 relentless, one-at-a-time, codebase-and-docs-first, ADRs only when 3 criteria are met", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/grill-with-docs/skills/grill-with-docs", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/grill-with-docs/skills/grill-with-docs/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "document", "grill", "with", "docs" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/handoff", "name": "handoff", "description": "Compact the current conversation into a handoff document for another agent to pick up. References existing artifacts (PRDs, plans, ADRs, issues, commits, diffs) by path or URL instead of duplicating them. Use when user wants to hand off the conversation to a fresh agent or starts a new session that picks up prior work.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-13T21:54:09Z", "metadata": { "derived_from": "https://github.com/mattpocock/skills/tree/main/skills/productivity/handoff", "original_author": "Matt Pocock (@mattpocock)", "original_license": "MIT", "voice": "Matt Pocock \u2014 no-duplication, reference-existing-artifacts, tailored to next-session focus", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/handoff/skills/handoff", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/handoff/skills/handoff/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "document", "handoff" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/handoff", "provider": "nginity", "similarity": 0.15 } ] }, { "id": "nginity/handoff", "name": "handoff", "description": "Compact the current conversation into a handoff document for another agent to pick up. Save to a user-configured location (OS temp, home folder, or per-project .handoff/), redact secrets before write, suggest skills for the next session, and auto-load the latest handoff on the next SessionStart. First-run setup asks where to save so the project folder never gets cluttered. Use when the user says 'hand this off', 'handoff doc', 'summarize this for a new session', 'compact this conversation', 'I'm ending this session', 'pick this up later', or any variation signaling intent to pass work to a fresh agent. Also trigger on implicit signals: the user announcing they're switching machines, ending the day mid-task, or context is growing long without a natural stopping point.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-23T01:22:07Z", "metadata": { "version": "1.0.0", "voice": "Matt Pocock \u2014 no-duplication, reference-existing-artifacts, tailored to next-session focus", "inspired_by": "https://github.com/mattpocock/skills/tree/main/skills/productivity/handoff" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/handoff/skills/handoff", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/handoff/skills/handoff/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "art", "document", "handoff" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 56, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/handoff", "provider": "nginity", "similarity": 0.15 } ] }, { "id": "nginity/helm-chart-builder", "name": "helm-chart-builder", "description": "Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw \u2014 chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing. Use when: user wants to create or improve Helm charts, design values.yaml files, implement template helpers, audit chart security (RBAC, network policies, pod security), manage subcharts, or run helm lint/test.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:33:59Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "engineering", "updated": "2026-03-15" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/helm-chart-builder/skills/helm-chart-builder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/helm-chart-builder/skills/helm-chart-builder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "yaml", "pr", "ci", "test", "lint", "cli", "design", "art", "helm", "chart" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/inbox-setup", "name": "inbox-setup", "description": "One-time setup skill that builds a personalized inbox triage knowledge base via interactive interview. Interviews the user about their email patterns, business context, reply style, and priorities using grill-me discipline (one question at a time, forcing format where possible, dependency-ordered, each question explains why I'm asking), then generates the knowledge base files that power the companion 'inbox-triage' skill. Run this once before using inbox-triage for the first time. Re-run when business, pricing, or priorities change significantly. Triggers: 'set up my inbox', 'configure inbox triage', 'set up my email system', 'configure email triage', 'build my email knowledge base', 'initialize email management', 'set up inbox triage', 'onboard email triage', or any variation where someone wants to get the email triage system running for the first time.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-15T15:28:00Z", "metadata": { "source_spec": "megaprompts/06-inbox-setup-megaprompt.md", "build_pattern": "Path B (direct conversion)", "paired_with": "inbox-triage (shared 7-file KB contract)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/email/skills/inbox-setup", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/email/skills/inbox-setup/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "email", "knowledge", "inbox", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/inbox-triage", "name": "inbox-triage", "description": "Runs a full inbox triage using the knowledge base created by the 'inbox-setup' skill. Light-intake by design (most invocations skip questions and run with KB-default preferences); asks at most 2 grill-me override questions when invocation is outside normal cadence or includes category-skip intent. Searches recent emails, classifies them via the user's taxonomy, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report in the user's preferred format, and updates the knowledge base with learnings. Designed to run on a recurring schedule (1-3x daily) or on demand. Use when the user wants their inbox processed, in any variation (e.g., 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'). Requires the inbox-setup skill to have been run first.", "provider": "nginity", "category": "enterprise", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/07-inbox-triage-megaprompt.md", "build_pattern": "Path B (direct conversion)", "paired_with": "inbox-setup (consumes the 7-file KB it produces)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/email/skills/inbox-triage", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/email/skills/inbox-triage/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "email", "knowledge", "inbox", "triage" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/incident-commander", "name": "incident-commander", "description": "Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when declaring an incident, coordinating multi-team response during an outage, leading a post-mortem, or setting up on-call practices for a new service.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/incident-commander", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/incident-commander/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "analysis", "incident", "commander" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/incident-response", "name": "incident-response", "description": "Use when a security incident has been detected or declared and needs classification, triage, escalation path determination, and forensic evidence collection. Covers SEV1-SEV4 classification, false positive filtering, incident taxonomy, and NIST SP 800-61 lifecycle.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/incident-response", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/incident-response/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "incident", "response" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/information-security-manager-iso27001", "name": "information-security-manager-iso27001", "description": "ISO 27001 ISMS implementation and cybersecurity governance for HealthTech and MedTech companies. Use when designing an ISMS, running security risk assessments, implementing controls, pursuing ISO 27001 certification, preparing security audits, responding to security incidents, or verifying compliance. Covers ISO 27001, ISO 27002, healthcare security, and medical device cybersecurity.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/information-security-manager-iso27001", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/information-security-manager-iso27001/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "information", "security", "manager", "iso27001" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/internal-comms", "name": "internal-comms", "description": "Use when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication \u2014 a re-org announcement, a tool rollout, a policy change, a leadership transition, a layoff, an acquisition close, or an internal product launch \u2014 and the audience is employees (not customers). Pairs Prosci ADKAR and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points; industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Triggers on \"all-hands announcement\", \"change comms\", \"rollout comms\", \"re-org announcement\", \"manager talking points\", \"layoff comms\".", "provider": "nginity", "category": "enterprise", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-operations/skills/internal-comms", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-operations/skills/internal-comms/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "faq", "internal", "comms" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/internal-narrative", "name": "internal-narrative", "description": "Build and maintain one coherent company story across all audiences \u2014 employees, investors, customers, candidates, and partners. Detects narrative contradictions and ensures the same truth is framed for each audience's needs. Use when preparing investor updates, all-hands presentations, board communications, recruiting narratives, crisis communications, or when user mentions company narrative, messaging consistency, storytelling, all-hands, investor update, or crisis communication.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "narrative-strategy", "updated": "2026-03-05", "frameworks": "narrative-frameworks, all-hands-template" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/internal-narrative", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/internal-narrative/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "internal", "narrative" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/interview-system-designer", "name": "interview-system-designer", "description": "This skill should be used when the user asks to \"design interview processes\", \"create hiring pipelines\", \"calibrate interview loops\", \"generate interview questions\", \"design competency matrices\", \"analyze interviewer bias\", \"create scoring rubrics\", \"build question banks\", or \"optimize hiring systems\". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/interview-system-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/interview-system-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "design", "interview", "system", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/isms-audit-expert", "name": "isms-audit-expert", "description": "Information Security Management System (ISMS) audit expert for ISO 27001 compliance verification, security control assessment, and certification support. Use when the user mentions ISO 27001, ISMS audit, Annex A controls, Statement of Applicability (SOA), gap analysis, nonconformity management, internal audit, surveillance audit, or security certification preparation. Helps review control implementation evidence, document audit findings, classify nonconformities, generate risk-based audit plans, map controls to Annex A requirements, prepare Stage 1 and Stage 2 audit documentation, and support corrective action workflows.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/isms-audit-expert", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/isms-audit-expert/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "document", "analysis", "isms", "audit", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/iso42001-specialist", "name": "iso42001-specialist", "description": "ISO/IEC 42001:2023 AI Management System (AIMS) specialist for compliance teams running internal audits. Three decisions: (1) Where are the gaps against Clauses 4-10 and what do we close first? (2) What goes in the AI risk register and which Annex A controls treat each risk? (3) What's the 12-month internal audit plan that satisfies Clause 9.2? Use when preparing for certification, scoping internal audit cycles, or onboarding AI systems into an existing ISMS (27001) / QMS (13485) program. NOT an executive AI strategy skill (see chief-ai-officer-advisor). NOT EU AI Act compliance (see compliance-team-eu-ai-act).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "ra-qm-team", "domain": "ai-management-system-compliance", "updated": "2026-05-13", "python-tools": "aims_gap_analyzer.py, ai_risk_register_builder.py, aims_audit_scheduler.py", "frameworks": "iso-42001, iso-23894, iso-38507, nist-ai-rmf, eu-ai-act-mapping" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/compliance-team-iso42001/skills/iso42001-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/compliance-team-iso42001/skills/iso42001-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "iso42001", "specialist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/iso42001-specialist", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/iso42001-specialist", "name": "iso42001-specialist", "description": "ISO/IEC 42001:2023 AI Management System (AIMS) specialist for compliance teams running internal audits. Three decisions: (1) Where are the gaps against Clauses 4-10 and what do we close first? (2) What goes in the AI risk register and which Annex A controls treat each risk? (3) What's the 12-month internal audit plan that satisfies Clause 9.2? Use when preparing for certification, scoping internal audit cycles, or onboarding AI systems into an existing ISMS (27001) / QMS (13485) program. NOT an executive AI strategy skill (see chief-ai-officer-advisor). NOT EU AI Act compliance (see compliance-team-eu-ai-act).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "ra-qm-team", "domain": "ai-management-system-compliance", "updated": "2026-05-13", "python-tools": "aims_gap_analyzer.py, ai_risk_register_builder.py, aims_audit_scheduler.py", "frameworks": "iso-42001, iso-23894, iso-38507, nist-ai-rmf, eu-ai-act-mapping" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/iso42001-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/iso42001-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "iso42001", "specialist" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/iso42001-specialist", "duplicate_of": "nginity/iso42001-specialist", "duplicate_similarity": 0.96, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/iso42001-specialist", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/jira-expert", "name": "jira-expert", "description": "Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Use when setting up or configuring Jira projects, writing JQL and advanced searches, creating dashboards, designing workflows, or performing technical Jira operations.", "provider": "nginity", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/jira-expert", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/jira-expert/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "jira", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/karpathy-coder", "name": "karpathy-coder", "description": "Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles \u2014 surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on \"review my diff\", \"check complexity\", \"am I overcomplicating this\", \"karpathy check\", \"before I commit\", or any code quality concern where the LLM might be overcoding.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/karpathy-coder/skills/karpathy-coder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/karpathy-coder/skills/karpathy-coder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "karpathy", "coder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/knowledge-ops", "name": "knowledge-ops", "description": "Use when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding) \u2014 including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Ishikawa's 5W2H method, Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists (e.g., \"validate this runbook before it goes into rotation\", \"audit our Confluence wiki for stale and orphaned SOPs\").", "provider": "nginity", "category": "enterprise", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-operations/skills/knowledge-ops", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-operations/skills/knowledge-ops/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "notion", "knowledge", "wiki", "ops" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/kubernetes-operator", "name": "kubernetes-operator", "description": "Use when building a Kubernetes Operator \u2014 custom controllers that reconcile CRD state. Triggers on \"build an operator\", \"CRD design\", \"reconcile loop\", \"controller-runtime\", \"kubebuilder\", \"operator-sdk\", \"metacontroller\", \"KOPF\", \"operator capability levels\", or \"custom resource\". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill \u2014 specifically the Operator pattern.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/kubernetes-operator/skills/kubernetes-operator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/kubernetes-operator/skills/kubernetes-operator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "lint", "design", "kubernetes", "operator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/kubernetes-operator", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/kubernetes-operator", "name": "kubernetes-operator", "description": "Use when building a Kubernetes Operator \u2014 custom controllers that reconcile CRD state. Triggers on \"build an operator\", \"CRD design\", \"reconcile loop\", \"controller-runtime\", \"kubebuilder\", \"operator-sdk\", \"metacontroller\", \"KOPF\", \"operator capability levels\", or \"custom resource\". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill \u2014 specifically the Operator pattern.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/kubernetes-operator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/kubernetes-operator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "lint", "design", "kubernetes", "operator" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/kubernetes-operator", "duplicate_of": "nginity/kubernetes-operator", "duplicate_similarity": 0.96, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/kubernetes-operator", "provider": "nginity", "similarity": 0.96 } ] }, { "id": "nginity/landing", "name": "landing", "description": "Generates a premium single-page HTML landing page with 3D CSS animations, GSAP scroll effects, and mouse-parallax depth. Forcing intake (product + elevator pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written, so the page reflects the actual product rather than generic boilerplate. Use whenever the user says 'landing for X', 'create a landing page', 'build a landing page', 'make a landing page for X', 'I need a web page for Y', or provides product/service details and wants a polished website. Also triggers on 'promotional page', 'product page', 'one-pager', 'web presence', 'sales page'. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai). Supports configurable brand colors via CSS custom property overrides.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-15T16:39:29Z", "metadata": { "source_spec": "megaprompts/04-landing-megaprompt.md", "build_pattern": "Path B (direct conversion)", "distinct_from": "product-team/skills/landing-page-generator (different output format + optimization target)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing/landing/skills/landing", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing/landing/skills/landing/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "art", "brand", "landing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/landing-page-generator", "name": "landing-page-generator", "description": "Generates high-converting landing pages as complete Next.js/React (TSX) components with Tailwind CSS. Creates hero sections, feature grids, pricing tables, FAQ accordions, testimonial blocks, and CTA sections using proven copy frameworks (PAS, AIDA, BAB). Outputs SEO meta tags, structured data, and performance-optimised code targeting Core Web Vitals (LCP < 1s, CLS < 0.1). Use when the user asks to create a landing page, marketing page, homepage, single-page site, lead capture page, campaign page, promo page, or conversion-optimised web page \u2014 or when they want to A/B test landing page variants or replace a static page with one designed to convert.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/landing-page-generator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/landing-page-generator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "design", "convert", "faq", "landing", "page", "generator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/launch-strategy", "name": "launch-strategy", "description": "When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'GTM plan,' 'launch checklist,' or 'launch momentum.' This skill covers phased launches, channel strategy, and ongoing launch momentum.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/launch-strategy", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/launch-strategy/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "launch", "strategy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/litreview", "name": "litreview", "description": "Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default \u2014 with the Consensus MCP as an optional enhancement lane when connected \u2014 builds a strategic search plan using PICO (default) or SPIDER / Decomposition / hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' \u2014 an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list \u2014 that's a plain PubMed/OpenAlex (or Consensus) query.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-12T05:33:50Z", "metadata": { "source_spec": "megaprompts/09-litreview-megaprompt.md", "build_pattern": "Path B (direct conversion)", "research_pack_convention": "Agent Integrity Rules verbatim per PR #657 audit; sibling of pulse", "version": "1.1.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/litreview/skills/litreview", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/litreview/skills/litreview/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "docx", "ci", "api", "mcp", "art", "litreview" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/llm-wiki", "name": "llm-wiki", "description": "Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include \"second brain\", \"Obsidian wiki\", \"personal knowledge management\", \"ingest this paper/article/book\", \"build a research wiki\", \"compound knowledge\", \"Memex\", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/llm-wiki/skills/llm-wiki", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/llm-wiki/skills/llm-wiki/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "art", "knowledge", "wiki", "llm" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/local-seo-manager", "name": "local-seo-manager", "description": "Manage local SEO for service-area businesses \u2014 appliance repair, HVAC, plumbing, cleaning, and any business that serves customers at their location. Use when the user wants to: audit Google Business Profile, generate neighborhood service area pages, check NAP consistency across directories, create LocalBusiness schema, or write review responses. Triggers: 'local SEO', 'Google Business Profile', 'GBP', 'service area page', 'NAP consistency', 'local citations', 'LocalBusiness schema', 'review responses', 'Google Maps ranking'. NOT for national SEO (use seo-audit). NOT for general schema (use schema-markup). NOT for AI answer-engine visibility (use aeo).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-01T03:09:43Z", "metadata": { "version": "1.0.0", "author": "Stan Varashilov (Steffonet)", "category": "marketing", "updated": "2026-06-03" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/local-seo-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/local-seo-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "local", "seo", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/loop-library", "name": "loop-library", "description": "Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs. Use when a user asks to analyze a codebase for potential loops, mine coding-thread history for work done more than once, turn repeated engineering work into a loop, find or recommend a published loop, create a recurring agent workflow or automation cadence, turn an outcome into a bounded copy-ready loop, or review an existing loop for weak checks, unsafe authority, unbounded repetition, stale state, or unclear stopping behavior.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-23T02:25:40Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "loop-library", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/loop-library/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "design", "loop", "library" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 25, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/markdown-html-orchestrator", "name": "markdown-html-orchestrator", "description": "Use when a user wants to convert any markdown file in their Claude project into a single-file, lightly-interactive HTML \u2014 long-form documents (specs, plans, RFCs, reports, explainers), code reviews with diffs and severity-tagged annotations, or slide decks. Triggers on \"convert this markdown to HTML\", \"make this an HTML file\", \"turn this into an interactive document\", \"render this report as HTML\", \"PR writeup as HTML\", \"slides from this markdown\". Forks context to route to one of three converter sub-skills (md-document, md-review, md-slides) based on a deterministic doctype classifier, after the user has run the design-system onboarding once. Refuses if input is under 100 lines (per Shihipar \u2014 markdown still wins below the threshold) or design-system isn't onboarded. Distinct from Anthropic's official Playground plugin (which is interactive prompt-tuning controls with sliders/knobs/prompt-copy-back) and from marketing/landing/ (which is a landing-page generator).", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "markdown-html/skills/markdown-html-orchestrator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/markdown-html/skills/markdown-html-orchestrator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "document", "convert", "markdown", "html", "orchestrator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/market-research", "name": "market-research", "description": "Use when doing upstream market-research methodology \u2014 sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) \u2014 this is the evidence-building methodology, not live-campaign optimization.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T00:54:22Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research-ops/skills/market-research", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research-ops/skills/market-research/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "market", "research" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/marketing-context", "name": "marketing-context", "description": "Create and maintain the marketing context document that all marketing skills read before starting. Use when the user mentions 'marketing context,' 'brand voice,' 'set up context,' 'target audience,' 'ICP,' 'style guide,' 'who is my customer,' 'positioning,' or wants to avoid repeating foundational information across marketing tasks. Run this at the start of any new project before using other marketing skills.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/marketing-context", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/marketing-context/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "pr", "art", "brand", "document", "marketing", "context" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/marketing-demand-acquisition", "name": "marketing-demand-acquisition", "description": "Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs. Use when planning demand gen strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships. Default calibration profile is a Series A+ B2B SaaS scaling internationally (EU/US/Canada, hybrid PLG/Sales-Led) \u2014 adapt benchmarks for other stages and motions rather than skipping the skill.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:24:57Z", "metadata": { "version": "1.1.0", "author": "Alireza Rezvani", "category": "marketing", "domain": "demand-generation", "updated": "2026-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/marketing-demand-acquisition", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/marketing-demand-acquisition/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "analysis", "marketing", "demand", "acquisition" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/marketing-ops", "name": "marketing-ops", "description": "Central router for the marketing skill ecosystem. Use when unsure which marketing skill to use, when orchestrating a multi-skill campaign, or when coordinating across content, SEO, CRO, channels, and analytics. Also use when the user mentions 'marketing help,' 'campaign plan,' 'what should I do next,' 'marketing priorities,' or 'coordinate marketing.'", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-01T03:04:40Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/marketing-ops", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/marketing-ops/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "marketing", "ops" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/mcp-server-builder", "name": "mcp-server-builder", "description": "Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T18:24:31Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/mcp-server-builder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/mcp-server-builder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "mcp", "design", "server", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/md-document", "name": "md-document", "description": "Converts long-form markdown (specs, RFCs, reports, plans, explainers) into a single-file, lightly-interactive HTML document with sticky TOC, scrollspy, search filter, code-copy buttons, and design-system-driven brand tokens. Triggers when the markdown-html-orchestrator classifies an input as DOCUMENT, or when invoked directly via /cs:md-document. Reads the design-system config via config_loader.py and inlines the user's 12 derived CSS custom properties; refuses to render if onboarding hasn't run. Single-file output \u2014 Google Fonts + Prism.js CDN are the only externals; no framework runtime, no build step. Use after orchestrator routing or after design-system onboarding is confirmed.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-02T05:58:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "markdown-html/skills/md-document", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/markdown-html/skills/md-document/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "cd", "design", "brand", "document", "convert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 46, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/md-review", "name": "md-review", "description": "Converts a markdown PR writeup or code review (one with ```diff fenced blocks and severity-tagged > [!BLOCKER]/[!MAJOR]/[!MINOR]/[!NIT] callouts) into a single-file 2-column HTML review \u2014 unified-diff on the left, severity-tagged annotation cards on the right, top jump-nav listing every finding, mandatory named reviewer footer. Triggers when the markdown-html-orchestrator classifies an input as REVIEW, or when invoked directly via /cs:md-review. Refuses without explicit --reviewer (a code review must name a human), refuses if no diff hunks present (route to md-document instead), and refuses to encode severity in color only (every badge ships color + icon + aria-label per WCAG 1.4.1). Use after orchestrator routing.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-03T05:43:45Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "markdown-html/skills/md-review", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/markdown-html/skills/md-review/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "convert", "review" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 45, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/mdr-745-specialist", "name": "mdr-745-specialist", "description": "EU MDR 2017/745 compliance specialist for medical device classification, technical documentation, clinical evidence, and post-market surveillance. Covers Annex VIII classification rules, Annex II/III technical files, Annex XIV clinical evaluation, Art. 86 PSUR schedules, and EUDAMED integration. Use when classifying a medical device under MDR, building or gap-checking a technical file, planning clinical evaluation or PMS/PSUR cadence, or preparing for notified body review (e.g., 'what class is my device under MDR', 'review my PSUR schedule').", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/mdr-745-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/mdr-745-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cli", "art", "document", "mdr", "745", "specialist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/meetings", "name": "meetings", "description": "Use when someone wants to decide whether a meeting is worth calling, price a meeting in dollars, build a timeboxed agenda with desired outcomes, or turn messy meeting notes into owned action items \u2014 or says \"should this be a meeting\", \"/cs:meeting-prep\", or \"/cs:meeting-actions\". Runs a cost gate (ASYNC / NOT-READY / MEET), builds a decision-first agenda, and extracts an owner + due-date checklist that flags every orphan.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-17T06:17:54Z", "metadata": { "version": "1.0.0", "build_pattern": "Path-B discipline skill \u2014 Rogelberg/HBR meeting-science canon + deterministic gate/agenda/extraction scripts", "distinct_from": "project-management (team ceremonies + Jira delivery flow; this is personal meeting hygiene); business-operations/internal-comms (org-level communication design; this never auto-sends); productivity/capture (private brain-dump triage; this parses shared meeting notes)" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/meetings/skills/meetings", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/meetings/skills/meetings/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "extract", "meeting", "meetings" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/migration-architect", "name": "migration-architect", "description": "Zero-downtime migration planning, compatibility validation, and rollback strategy generation. Tools for system, database, and infrastructure migrations with minimal business impact. Use when planning a database migration, infrastructure cutover, system replacement, or any high-risk transition that needs explicit rollback paths.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/migration-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/migration-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "migration", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/monorepo-navigator", "name": "monorepo-navigator", "description": "Navigate, manage, and optimize monorepos. Covers Turborepo, Nx, pnpm workspaces, and Lerna. Cross-package impact analysis, selective builds/tests on affected packages, remote caching, dependency graph visualization, and structured multi-repo to monorepo migrations. Use when setting up a new monorepo, optimizing CI for a large workspace, debugging cross-package dependency issues, or planning a multi-repo consolidation.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T05:08:23Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/monorepo-navigator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/monorepo-navigator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "test", "visual", "analysis", "monorepo", "navigator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ms365-tenant-manager", "name": "ms365-tenant-manager", "description": "Microsoft 365 tenant administration for Global Administrators. Automate M365 tenant setup, Office 365 admin tasks, Azure AD user management, Exchange Online configuration, Teams administration, and security policies. Generate PowerShell scripts for bulk operations, Conditional Access policies, license management, and compliance reporting. Use for M365 tenant manager, Office 365 admin, Azure AD users, Global Administrator, tenant configuration, or Microsoft 365 automation.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/ms365-tenant-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/ms365-tenant-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "ms365", "tenant", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/named-persona-adversarial-review", "name": "named-persona-adversarial-review", "description": "Code review through the lens of real engineers' documented philosophies (Torvalds, Thompson, Carmack, Kent Beck, Jobs, Cagan). Complements abstract-role adversarial review with named, sourced perspectives. Use when automated review findings feel generic, when a PR has architectural or UX impact, or when the author wants pre-submit hardening beyond standard checks.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-01T01:05:09Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/named-persona-adversarial-review", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/named-persona-adversarial-review/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "document", "named", "persona", "adversarial", "review" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/notebooklm", "name": "notebooklm", "description": "Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio/Video Overviews, Mind Maps, Reports incl. Briefing Doc/Study Guide/FAQ, Flashcards, Quiz, slide decks, infographics \u2014 discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment \u2014 fails gracefully when unavailable.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/03-notebooklm-megaprompt.md", "build_pattern": "Path B (direct conversion)", "shape": "browser-automation (distinct from research-pack convention)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/notebooklm/skills/notebooklm", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/notebooklm/skills/notebooklm/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "faq", "notebooklm" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/observability-designer", "name": "observability-designer", "description": "Design production-ready observability strategies combining metrics, logs, and traces. Includes SLI/SLO design, golden-signals monitoring, alert optimization. Use when adding observability to a new service, refactoring alerting that is too noisy, or designing an SLO program before scaling production load.", "provider": "nginity", "category": "devops", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/observability-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/observability-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "design", "observability", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/org-health-diagnostic", "name": "org-health-diagnostic", "description": "Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "organizational-health", "updated": "2026-03-05", "python-tools": "health_scorer.py", "frameworks": "health-benchmarks" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/org-health-diagnostic", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/org-health-diagnostic/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "org", "health", "diagnostic" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/paid-ads", "name": "paid-ads", "description": "When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.", "provider": "nginity", "category": "ml-ai", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/paid-ads", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/paid-ads/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "paid", "ads" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/partnerships-architect", "name": "partnerships-architect", "description": "Use when a startup is approached by a prospective partner and someone has to decide should we sign this partner, at what partner tier (referral / reseller / OEM / SI-consulting / strategic alliance), with what joint GTM commitment, and at what revshare. Classifies partner tier from independent-demand evidence vs. preferential-terms hunting, designs a 90-day joint GTM plan, models revshare against direct-sale margin, and surfaces kill criteria for unwinding under-performing partnerships. For Head of Partnerships, Head of BD, and Founder-CEOs doing reseller agreement, OEM deal, or strategic alliance review \u2014 not technical sale enablement, not channel cost economics, not M&A.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/partnerships-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/partnerships-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "design", "art", "partnerships", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/patent", "name": "patent", "description": "Patent prior-art and landscape intelligence skill \u2014 not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice \u2014 always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/11-patent-megaprompt.md", "build_pattern": "Path B (direct conversion)", "research_pack_convention": "Agent Integrity Rules verbatim per PR #657 audit; sub-use-case routing variant", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/patent/skills/patent", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/patent/skills/patent/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "docx", "pr", "ci", "art", "document", "extract", "analysis", "patent" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/performance-profiler", "name": "performance-profiler", "description": "Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-12T05:21:35Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/performance-profiler", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/performance-profiler/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "art", "performance", "profiler" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/playwright-pro", "name": "playwright-pro", "description": "Production-grade Playwright testing toolkit. Use when the user mentions Playwright tests, end-to-end testing, browser automation, fixing flaky tests, test migration, CI/CD testing, or test suites. Generate tests, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack. 55 templates, 3 agents, smart reporting.", "provider": "nginity", "category": "testing", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/playwright-pro/skills/pw", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/playwright-pro/skills/pw/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "cd", "test", "art", "playwright", "pro" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/pm-skills", "name": "pm-skills", "description": "Use when coordinating project-delivery work across the 8 project-management sub-skills \u2014 sprint/velocity analytics, portfolio health, Jira/JQL, Confluence, Atlassian admin, templates, meeting analysis, team comms. Triggers on 'our sprints feel off', 'project health report', 'audit our Jira permissions', 'when will it be done', 'run the delivery loop'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a full goal\u2192plan\u2192execute\u2192verify\u2192close delivery loop through the repo-wide agent-harness with Jira MCP data bridged into the domain's analytics tools. Distinct from product-team (what to build vs how to deliver it), business-operations (internal ops), and engineering/agent-harness (the generic loop engine this orchestrator plugs into).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-03T13:19:53Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/pm-skills", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/pm-skills/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "mcp", "analysis", "meeting", "skills" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 14, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/pricing-strategist", "name": "pricing-strategist", "description": "Use when designing or revisiting product pricing \u2014 selecting a pricing model (subscription seat-based, usage-based, value-based, freemium, or hybrid), running Van Westendorp Price Sensitivity Meter analysis on WTP survey data, or designing Good/Better/Best packaging tiers. Recommends a model and a price range with trade-offs, never a single number. For Commercial leads, Product Marketing, and CMOs at the pricing-design moment \u2014 not deal-by-deal discounting, not brand positioning.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/pricing-strategist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/pricing-strategist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "design", "brand", "analysis", "pricing", "strategist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/pricing-strategy", "name": "pricing-strategy", "description": "Design, optimize, and communicate SaaS pricing \u2014 tier structure, value metrics, pricing pages, and price increase strategy. Use when building a pricing model from scratch, redesigning existing pricing, planning a price increase, or improving a pricing page. Trigger keywords: pricing tiers, pricing page, price increase, packaging, value metric, per seat pricing, usage-based pricing, freemium, good-better-best, pricing strategy, monetization, pricing page conversion, Van Westendorp. NOT for broader product strategy \u2014 use product-strategist for that. NOT for customer success or renewals \u2014 use customer-success-manager for expansion revenue.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/pricing-strategy", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/pricing-strategy/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "pricing", "strategy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/process-mapper", "name": "process-mapper", "description": "Use when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time. Pairs Lean / Six Sigma / Theory-of-Constraints canon with deterministic stdlib-only Python tools to produce a process map, a ranked bottleneck list (with severity + root-cause hypothesis), and a cycle-time analysis (P50, P90, value-add ratio, Little's-Law throughput). Distinct from sales-pipeline, system-reliability (SLO), and strategic-OKR work \u2014 this is tactical process documentation for internal operations.", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-operations/skills/process-mapper", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-operations/skills/process-mapper/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "analysis", "process", "mapper" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/procurement-optimizer", "name": "procurement-optimizer", "description": "Use when running an annual SaaS audit, doing category-level spend review, or rationalizing the supplier base \u2014 when the user needs a spend audit, spend categorization (UNSPSC-aligned with Pareto breakdown and industry profiles), purchasing-cycle analysis (bottleneck categories per Goldratt's Theory of Constraints), or risk-balanced supplier consolidation that refuses single-source recommendations for tier-1 categories without a documented break-glass plan. Triggers on \"spend audit\", \"SaaS audit\", \"spend categorization\", \"supplier rationalization\", \"supplier consolidation\", \"category strategy\", \"duplicate SaaS\", \"renewal cluster\".", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-operations/skills/procurement-optimizer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-operations/skills/procurement-optimizer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "document", "analysis", "procurement", "optimizer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/product-analytics", "name": "product-analytics", "description": "Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/product-analytics", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/product-analytics/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "product", "analytics" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/product-discovery", "name": "product-discovery", "description": "Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/product-discovery", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/product-discovery/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "product", "discovery" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/product-manager-toolkit", "name": "product-manager-toolkit", "description": "Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing requirement documentation, or developing product strategy.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/product-manager-toolkit", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/product-manager-toolkit/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "document", "analysis", "product", "manager", "toolkit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/product-research", "name": "product-research", "description": "Use when planning and synthesizing product/user research as a method-and-repository discipline \u2014 selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) \u2014 this is the research-ops method + insight-repository layer.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T00:54:22Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research-ops/skills/product-research", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research-ops/skills/product-research/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "cd", "test", "design", "art", "product", "research" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/product-skills", "name": "product-skills", "description": "Use when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding) or the 4 standalone product-team plugins (user stories, Apple HIG, code-to-PRD, research summarizer). Triggers on 'help me prioritize', 'plan a product experiment', 'we ship features nobody uses', 'run the discovery loop', 'is our OST sound'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a continuous-discovery loop (Torres cadence tracker + OST linter as machine gates) or a full goal\u2192plan\u2192execute\u2192verify\u2192close run through the repo-wide agent-harness. Distinct from project-management (how to deliver vs what to build), marketing/landing (from-scratch pages), and engineering/agent-harness (the generic loop engine this orchestrator plugs into).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-03T13:19:53Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/product-skills", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/product-skills/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "lint", "design", "product", "skills" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 14, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/product-strategist", "name": "product-strategist", "description": "Strategic product leadership toolkit for Head of Product covering OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals. Use when creating quarterly OKR documents, defining product goals or KPIs, building product roadmaps, running competitive analysis, drafting team structure or hiring plans, aligning product strategy across engineering and design, or generating cascaded goal hierarchies from company to team level.", "provider": "nginity", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/product-strategist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/product-strategist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "design", "art", "document", "analysis", "product", "strategist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/prompt-engineer-toolkit", "name": "prompt-engineer-toolkit", "description": "Turns marketing prompts into tested, versioned production assets: A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt templates (ad copy, email campaigns, social posts, landing pages, SEO meta), and an LLM-governance playbook for marketing teams (claim discipline, disclosure rules, human-review gates). Use when a marketing team relies on AI-generated content and needs prompt quality to be measurable and safe \u2014 or when the user mentions 'prompt engineering,' 'improve my prompts,' 'prompt templates,' 'prompt versioning,' 'AI content workflow,' or 'AI governance for marketing.'", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/prompt-engineer-toolkit", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/prompt-engineer-toolkit/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "email", "prompt", "engineer", "toolkit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/pulse", "name": "pulse", "description": "Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/01-pulse-megaprompt.md", "build_pattern": "Path B (direct conversion)", "research_pack_convention": "Agent Integrity Rules block preserved verbatim per PR #657 audit", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/pulse/skills/pulse", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/pulse/skills/pulse/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "analysis", "pulse" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/qms-audit-expert", "name": "qms-audit-expert", "description": "ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use when planning internal audits, executing audits, classifying findings, preparing for external audits, or managing an audit program.", "provider": "nginity", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/qms-audit-expert", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/qms-audit-expert/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "qms", "audit", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/quality-documentation-manager", "name": "quality-documentation-manager", "description": "Document control system management for medical device QMS. Covers document numbering, version control, change management, and 21 CFR Part 11 compliance. Use when working on document control procedures, change control workflows, document numbering, version management, electronic signature compliance, or regulatory documentation review.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T16:04:36Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/quality-documentation-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/quality-documentation-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "document", "quality", "documentation", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/quality-manager-qmr", "name": "quality-manager-qmr", "description": "Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides quality system governance, management review leadership, regulatory compliance oversight, and quality performance monitoring per ISO 13485 Clause 5.5.2. Use when leading management reviews, setting quality policy and objectives, monitoring quality KPIs and cost of quality, or exercising QMR governance and regulatory oversight responsibilities.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:59:15Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/quality-manager-qmr", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/quality-manager-qmr/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "quality", "manager", "qmr" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/quality-manager-qms-iso13485", "name": "quality-manager-qms-iso13485", "description": "ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support. Use when working with medical device quality systems, preparing for ISO 13485 audits, managing regulatory compliance documentation, setting up corrective actions, or building audit preparation programs. Useful for quality management, audit preparation, regulatory compliance, medical device documentation, and corrective action workflows.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:59:15Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/quality-manager-qms-iso13485", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/quality-manager-qms-iso13485/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "document", "quality", "manager", "qms", "iso13485" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/red-team", "name": "red-team", "description": "Use when planning or executing authorized red team engagements, attack path analysis, or offensive security simulations. Covers MITRE ATT&CK kill-chain planning, technique scoring, choke point identification, OPSEC risk assessment, and crown jewel targeting.", "provider": "nginity", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/red-team", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/red-team/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "analysis", "red", "team" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/referral-program", "name": "referral-program", "description": "When the user wants to design, launch, or optimize a referral or affiliate program. Use when they mention 'referral program,' 'affiliate program,' 'word of mouth,' 'refer a friend,' 'incentive program,' 'customer referrals,' 'brand ambassador,' 'partner program,' 'referral link,' or 'growth through referrals.' Covers program mechanics, incentive design, and optimization \u2014 not just the idea of referrals but the actual system.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/referral-program", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/referral-program/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "art", "brand", "referral", "program" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/reflect", "name": "reflect", "description": "Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck \u2014 that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-16T05:37:30Z", "metadata": { "source_spec": "megaprompts/02-reflect-megaprompt.md", "build_pattern": "Path B (direct conversion)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/reflect/skills/reflect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/reflect/skills/reflect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "analysis", "reflect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/regulatory-affairs-head", "name": "regulatory-affairs-head", "description": "Senior Regulatory Affairs Manager for HealthTech and MedTech companies. Prepares FDA 510(k), De Novo, and PMA submission packages; analyzes regulatory pathways for new medical devices; drafts responses to FDA deficiency letters and Notified Body queries; develops CE marking technical documentation under EU MDR 2017/745; coordinates multi-market approval strategies across FDA, EU, Health Canada, PMDA, and NMPA; and maintains regulatory intelligence on evolving standards. Use when users need to plan or execute FDA submissions, navigate 510(k) or PMA approval processes, achieve CE marking, prepare pre-submission meeting materials, write regulatory strategy documents, respond to agency queries, or manage compliance documentation for medical device market access.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/regulatory-affairs-head", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/regulatory-affairs-head/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "document", "meeting", "regulatory", "affairs", "head" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/research", "name": "research", "description": "Default entry point for any research request \u2014 a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., \"research [topic]\", \"look into [topic]\", \"what do we know about [topic]\", \"investigate [topic]\", \"find me information on [topic]\", \"do some research on [topic]\", \"I need to understand [topic]\"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-07-01T05:57:49Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/research/skills/research", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/research/skills/research/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "docx", "pr", "ci", "art", "document", "research" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/research-finance", "name": "research-finance", "description": "Use when managing the money for an internal R&D program or portfolio \u2014 building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner \u2014 it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery \u2014 this manages money already won).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T00:54:22Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research-ops/skills/research-finance", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research-ops/skills/research-finance/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "api", "analysis", "research", "finance" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/research-summarizer", "name": "research-summarizer", "description": "Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "product", "updated": "2026-03-16" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/research-summarizer/skills/research-summarizer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/research-summarizer/skills/research-summarizer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cli", "art", "document", "extract", "research", "summarizer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22711 }, { "id": "nginity/revenue-operations", "name": "revenue-operations", "description": "Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-growth/skills/revenue-operations", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-growth/skills/revenue-operations/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "analysis", "revenue", "operations" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/rfp-responder", "name": "rfp-responder", "description": "Use when an RFP, RFI, RFQ, security questionnaire, vendor questionnaire, or proposal request arrives and the team needs a structured response \u2014 parsing multi-section buyer-dictated requirements (MANDATORY vs WEIGHTED vs NICE-TO-HAVE), building a Shipley-method proof-point matrix mapping each requirement to a verifiable proof point, articulating 3-5 win-themes that ladder up across requirements, and producing a Shipley-derived winrate estimate that informs a bid / no-bid / partner-bid recommendation. For Bid Managers, Proposal Leads, Directors of Sales, and Sales Engineers at the response-strategy moment. Surfaces GAP requirements explicitly \u2014 never invents claims. NOT free-form proposal narrative authoring, NOT contract redline, NOT marketing collateral.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-19T04:03:09Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "commercial/skills/rfp-responder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/commercial/skills/rfp-responder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "rfp", "responder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 60, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/risk-management-specialist", "name": "risk-management-specialist", "description": "Medical device risk management specialist implementing ISO 14971 throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use when user mentions risk management, ISO 14971, risk analysis, FMEA, fault tree analysis, hazard identification, risk control, risk matrix, benefit-risk analysis, residual risk, risk acceptability, or post-market risk.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/risk-management-specialist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/risk-management-specialist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "analysis", "risk", "management", "specialist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/roadmap-communicator", "name": "roadmap-communicator", "description": "Use when preparing roadmap narratives, release notes, changelogs, or stakeholder updates tailored for executives, engineering teams, and customers.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/roadmap-communicator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/roadmap-communicator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "roadmap", "communicator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/roast", "name": "roast", "description": "Use when someone asks to roast an idea, pressure-test or stress-test an idea, validate a business idea, \"convene the panel\", get a brutal second opinion before building something, or says \"/roast\". Spins up a 5-angle panel (Critic, Champion, Analyst, Investigator, Customer) that attacks the idea from every angle, then a Judge returns one GO / RESHAPE / KILL verdict with the cheapest test to de-risk it.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-26T10:03:46Z", "metadata": { "version": "1.0.0", "build_pattern": "Path-B persona skill \u2014 adversarial panel + deterministic verdict tools", "distinct_from": "andreessen (single market-first lens, not a panel); c-level boardroom (enterprise C-suite pipeline requiring company-context onboarding); grill-me (interrogates, no verdict)" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/roast/skills/roast", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/roast/skills/roast/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "test", "roast" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 21, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/runbook-generator", "name": "runbook-generator", "description": "Generate operational runbooks from a service name \u2014 deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment. Use when documenting on-call procedures for a new service, standardizing incident response across teams, or producing runbooks before launching to production.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-14T04:52:51Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/runbook-generator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/runbook-generator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "document", "runbook", "generator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/saas-metrics-coach", "name": "saas-metrics-coach", "description": "SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Abbas Mir", "category": "finance", "updated": "2026-03-08" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "finance/skills/saas-metrics-coach", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/finance/skills/saas-metrics-coach/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "saas", "metrics", "coach" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/saas-scaffolder", "name": "saas-scaffolder", "description": "Generates complete, production-ready SaaS project boilerplate including authentication, database schemas, billing integration, API routes, and a working dashboard using Next.js 14+ App Router, TypeScript, Tailwind CSS, shadcn/ui, Drizzle ORM, and Stripe. Use when the user wants to create a new SaaS app, start a subscription-based web project, scaffold a Next.js application, or mentions terms like starter template, boilerplate, new project, or wiring up auth and payments.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/saas-scaffolder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/saas-scaffolder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "art", "saas", "scaffolder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/sales-engineer", "name": "sales-engineer", "description": "Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engineering. Use when responding to RFPs, bids, or proposal requests; comparing product features against competitors; planning or scoring a customer POC or sales demo; preparing a technical proposal; or performing win/loss competitor analysis. Handles tasks described as 'RFP response', 'bid response', 'proposal response', 'competitor comparison', 'feature matrix', 'POC planning', 'sales demo prep', or 'pre-sales engineering'.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-growth/skills/sales-engineer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-growth/skills/sales-engineer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "analysis", "sales", "engineer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/scenario-war-room", "name": "scenario-war-room", "description": "Cross-functional what-if modeling for cascading multi-variable scenarios. Unlike single-assumption stress testing, this models compound adversity across all business functions simultaneously. Use when facing complex risk scenarios, strategic decisions with major downside, or when the user asks 'what if X AND Y both happen?'", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "strategic-planning", "updated": "2026-03-05", "python-tools": "scenario_modeler.py", "frameworks": "scenario-planning" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/scenario-war-room", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/scenario-war-room/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "test", "scenario", "war", "room" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/schema-markup", "name": "schema-markup", "description": "When the user wants to implement, audit, or validate structured data (schema markup) on their website. Use when the user mentions 'structured data,' 'schema.org,' 'JSON-LD,' 'rich results,' 'rich snippets,' 'schema markup,' 'FAQ schema,' 'Product schema,' 'HowTo schema,' or 'structured data errors in Search Console.' Also use when someone asks why their content isn't showing rich results or wants to improve AI search visibility. NOT for general SEO audits (use seo-audit) or technical SEO crawl issues (use site-architecture).", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/schema-markup", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/schema-markup/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "faq", "schema", "markup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/scrum-master", "name": "scrum-master", "description": "Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.", "provider": "nginity", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-13T14:14:45Z", "metadata": { "version": "2.0.0", "author": "Alireza Rezvani", "category": "project-management", "domain": "agile-development", "updated": "2026-02-15", "python-tools": "velocity_analyzer.py, sprint_health_scorer.py, retrospective_analyzer.py", "tech-stack": "scrum, agile-coaching, team-dynamics, data-analysis" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/scrum-master", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/scrum-master/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "json", "pr", "ci", "art", "analysis", "scrum", "master" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/secrets-vault-manager", "name": "secrets-vault-manager", "description": "Use when the user asks to set up secret management infrastructure, integrate HashiCorp Vault, configure cloud secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), implement secret rotation, or audit secret access patterns.", "provider": "nginity", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/secrets-vault-manager", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/secrets-vault-manager/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "secrets", "vault", "manager" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/security-pen-testing", "name": "security-pen-testing", "description": "Use when the user asks to perform security audits, penetration testing, vulnerability scanning, OWASP Top 10 checks, or offensive security assessments. Covers static analysis, dependency scanning, secret detection, API security testing, and pen test report generation.", "provider": "nginity", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/security-pen-testing", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/security-pen-testing/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "test", "api", "analysis", "security", "pen", "testing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-architect", "name": "senior-architect", "description": "This skill should be used when the user asks to \"design system architecture\", \"evaluate microservices vs monolith\", \"create architecture diagrams\", \"analyze dependencies\", \"choose a database\", \"plan for scalability\", \"make technical decisions\", or \"review system design\". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "design", "analysis", "senior", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-backend", "name": "senior-backend", "description": "Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to \"design REST APIs\", \"optimize database queries\", \"implement authentication\", \"build microservices\", \"review backend code\", \"set up GraphQL\", \"handle database migrations\", or \"load test APIs\". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-backend", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-backend/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "api", "design", "senior", "backend" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-computer-vision", "name": "senior-computer-vision", "description": "Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-13T14:14:45Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-computer-vision", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-computer-vision/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "visual", "senior", "computer", "vision" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-data-engineer", "name": "senior-data-engineer", "description": "Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-13T14:14:45Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-data-engineer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-data-engineer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "design", "senior", "data", "engineer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-data-scientist", "name": "senior-data-scientist", "description": "World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking \u2014 using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-data-scientist", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-data-scientist/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "design", "analysis", "senior", "data", "scientist" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-devops", "name": "senior-devops", "description": "Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.", "provider": "nginity", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:34:13Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-devops", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-devops/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "senior", "devops" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-frontend", "name": "senior-frontend", "description": "Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-frontend", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-frontend/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "senior", "frontend" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-fullstack", "name": "senior-fullstack", "description": "Fullstack development toolkit with project scaffolding for Next.js, FastAPI, MERN, and Django stacks, code quality analysis with security and complexity scoring, and stack selection guidance. Use when the user asks to \"scaffold a new project\", \"create a Next.js app\", \"set up FastAPI with React\", \"analyze code quality\", \"audit my codebase\", \"what stack should I use\", \"generate project boilerplate\", or mentions fullstack development, project setup, or tech stack comparison.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-fullstack", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-fullstack/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "analysis", "senior", "fullstack" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-ml-engineer", "name": "senior-ml-engineer", "description": "ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-ml-engineer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-ml-engineer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "senior", "engineer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-pm", "name": "senior-pm", "description": "Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring. Use when a user needs help with project plans, project status reports, risk assessments, resource allocation, project roadmaps, milestone tracking, team capacity planning, portfolio health reviews, program management, or executive-level project reporting \u2014 especially for enterprise-scale initiatives with multiple workstreams, complex dependencies, or multi-million dollar budgets.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "project-management/skills/senior-pm", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/project-management/skills/senior-pm/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "git", "pr", "ci", "analysis", "senior" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-prompt-engineer", "name": "senior-prompt-engineer", "description": "Use when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations, analyze token usage, or design structured-output contracts. Covers eval-driven prompt iteration, RAG metrics (relevance, faithfulness, coverage), agent workflow validation, and token/cost budgeting \u2014 all model-agnostic, with three stdlib Python tools.", "provider": "nginity", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:28:22Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-prompt-engineer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-prompt-engineer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "senior", "prompt", "engineer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-qa", "name": "senior-qa", "description": "Generates unit tests, integration tests, and E2E tests for React/Next.js applications. Scans components to create Jest + React Testing Library test stubs, analyzes Istanbul/LCOV coverage reports to surface gaps, scaffolds Playwright test files from Next.js routes, mocks API calls with MSW, creates test fixtures, and configures test runners. Use when the user asks to \"generate tests\", \"write unit tests\", \"analyze test coverage\", \"scaffold E2E tests\", \"set up Playwright\", \"configure Jest\", \"implement testing patterns\", or \"improve test quality\".", "provider": "nginity", "category": "testing", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:32:43Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-qa", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-qa/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "api", "senior" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-secops", "name": "senior-secops", "description": "Senior SecOps engineer skill for application security, vulnerability management, compliance verification, and secure development practices. Runs SAST/DAST scans, generates CVE remediation plans, checks dependency vulnerabilities, creates security policies, enforces secure coding patterns, and automates compliance checks against SOC2, PCI-DSS, HIPAA, and GDPR. Use when conducting a security review or audit, responding to a CVE or security incident, hardening infrastructure, implementing authentication or secrets management, running penetration test prep, checking OWASP Top 10 exposure, or enforcing security controls in CI/CD pipelines.", "provider": "nginity", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-secops", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-secops/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "test", "senior", "secops" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/senior-security", "name": "senior-security", "description": "Use when the user asks for STRIDE threat modeling, DREAD risk scoring, data-flow-diagram threat analysis, or a quick secret scan \u2014 or when a security request needs routing to the right specialist skill (pen-testing, incident response, cloud posture, red team, AI security, threat hunting, secure code review). This skill owns threat modeling; everything else routes to a sibling.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T15:28:22Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/senior-security", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/senior-security/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "ci", "test", "analysis", "senior", "security" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 36, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/seo-audit", "name": "seo-audit", "description": "When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions \"SEO audit,\" \"technical SEO,\" \"why am I not ranking,\" \"SEO issues,\" \"on-page SEO,\" \"meta tags review,\" or \"SEO health check.\" For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/seo-audit", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/seo-audit/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "seo", "audit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ship-gate", "name": "ship-gate", "description": "Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. Intercepts deploy commands and blocks until critical items pass. Stack-agnostic. Use for \"run ship gate\", \"am I ready to ship\", \"pre-launch audit\", \"can I deploy\", \"push to production\", \"go live checklist\", \"preflight check\". Not for CI/CD setup or infra provisioning.\n", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-10T02:28:50Z", "metadata": { "author": "Rajaraman Arumugam", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/ship-gate", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/ship-gate/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "ship", "gate" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/signup-flow-cro", "name": "signup-flow-cro", "description": "When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions \"signup conversions,\" \"registration friction,\" \"signup form optimization,\" \"free trial signup,\" \"reduce signup dropoff,\" or \"account creation flow.\" For post-signup onboarding, see onboarding-cro. For lead capture forms (not account creation), see form-cro.", "provider": "nginity", "category": "other", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/signup-flow-cro", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/signup-flow-cro/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "signup", "flow", "cro" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/site-architecture", "name": "site-architecture", "description": "When the user wants to audit, redesign, or plan their website's structure, URL hierarchy, navigation design, or internal linking strategy. Use when the user mentions 'site architecture,' 'URL structure,' 'internal links,' 'site navigation,' 'breadcrumbs,' 'topic clusters,' 'hub pages,' 'orphan pages,' 'silo structure,' 'information architecture,' or 'website reorganization.' Also use when someone has SEO problems and the root cause is structural (not content or schema). NOT for content strategy decisions about what to write (use content-strategy) or for schema markup (use schema-markup).", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-06" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/site-architecture", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/site-architecture/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "site", "architecture" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/skill-security-auditor", "name": "skill-security-auditor", "description": "Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: \"audit this skill\", \"is this skill safe\", \"scan skill for security\", \"check skill before install\", \"skill security check\", \"skill vulnerability scan\".", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/skill-security-auditor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/skill-security-auditor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "git", "pr", "ci", "skill", "security", "auditor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/skill-tester", "name": "skill-tester", "description": "Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with letter grades and tier classification (BASIC/STANDARD/POWERFUL). Use when authoring a new skill, auditing existing skills for tier promotion, setting up pre-commit hooks for skill quality, or integrating skill QA into CI.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/skill-tester", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/skill-tester/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "skill", "tester" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/slo-architect", "name": "slo-architect", "description": "Use when defining, reviewing, or operating SLOs/SLIs/error budgets. Triggers on \"define an SLO\", \"what should our SLO be\", \"error budget\", \"burn rate\", \"SLI\", \"service level objective\", \"Google SRE workbook\", \"multi-window burn-rate alert\", or any reliability-target question. Ships SLO designer, error-budget calculator with multi-window burn-rate thresholds, and SLO reviewer that catches the common bugs (target too aggressive, window too short, conflicting SLOs, no SLI definition). 4 references on SLO principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. NOT a generic observability skill \u2014 specifically the SLO discipline.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/slo-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/slo-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "design", "slo", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/slo-architect", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/slo-architect", "name": "slo-architect", "description": "Use when defining, reviewing, or operating SLOs/SLIs/error budgets. Triggers on \"define an SLO\", \"what should our SLO be\", \"error budget\", \"burn rate\", \"SLI\", \"service level objective\", \"Google SRE workbook\", \"multi-window burn-rate alert\", or any reliability-target question. Ships SLO designer, error-budget calculator with multi-window burn-rate thresholds, and SLO reviewer that catches the common bugs (target too aggressive, window too short, conflicting SLOs, no SLI definition). 4 references on SLO principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. NOT a generic observability skill \u2014 specifically the SLO discipline.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/slo-architect/skills/slo-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/slo-architect/skills/slo-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "design", "slo", "architect" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/slo-architect", "duplicate_of": "nginity/slo-architect", "duplicate_similarity": 0.97, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/slo-architect", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/snowflake-development", "name": "snowflake-development", "description": "Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:33:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/snowflake-development/skills/snowflake-development", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/snowflake-development/skills/snowflake-development/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "snowflake", "development" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/soc2-compliance", "name": "soc2-compliance", "description": "Use when the user asks to prepare for SOC 2 audits, map Trust Service Criteria, build control matrices, collect audit evidence, perform gap analysis, or assess SOC 2 Type I vs Type II readiness.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "ra-qm-team/skills/soc2-compliance", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/ra-qm-team/skills/soc2-compliance/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "analysis", "soc2", "compliance" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/social-media-analyzer", "name": "social-media-analyzer", "description": "Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use when analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards. Also use when the user mentions \"social media audit,\" \"engagement rate,\" or \"which platform performs best.\"", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/social-media-analyzer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/social-media-analyzer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "analysis", "social", "media", "analyzer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/spec-driven-workflow", "name": "spec-driven-workflow", "description": "Use when the user asks to write specs before code, define acceptance criteria, plan features before implementation, generate tests from specifications, or follow spec-first development practices.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/spec-driven-workflow", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/spec-driven-workflow/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "spec", "driven", "workflow" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/spec-to-repo", "name": "spec-to-repo", "description": "Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/spec-to-repo", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/spec-to-repo/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "api", "art", "spec", "repo" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/sql-database-assistant", "name": "sql-database-assistant", "description": "Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/sql-database-assistant", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/sql-database-assistant/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "sql", "database", "assistant" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/statistical-analyst", "name": "statistical-analyst", "description": "Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:33:59Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/statistical-analyst/skills/statistical-analyst", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/statistical-analyst/skills/statistical-analyst/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "statistical", "analyst" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/strategic-alignment", "name": "strategic-alignment", "description": "Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different directions, OKRs don't connect, departments optimize locally at company expense, or when user mentions alignment, strategy cascade, silo, conflicting OKRs, or strategy communication.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "strategic-alignment", "updated": "2026-03-05", "python-tools": "alignment_checker.py", "frameworks": "alignment-playbook" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/strategic-alignment", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/strategic-alignment/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "analysis", "strategic", "alignment" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/syllabus", "name": "syllabus", "description": "Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs \u2014 so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') \u2014 even casual mentions with a syllabus attached should trigger this skill.", "provider": "nginity", "category": "documents", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "source_spec": "megaprompts/10-syllabus-megaprompt.md", "build_pattern": "Path B (direct conversion)", "research_pack_convention": "Agent Integrity Rules verbatim per PR #657 audit; bundled-JS-DOCX-generator variant", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "research/syllabus/skills/syllabus", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/research/syllabus/skills/syllabus/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "docx", "pr", "ci", "cli", "document", "extract", "syllabus" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/tc-tracker", "name": "tc-tracker", "description": "Use when the user asks to track technical changes, create change records, manage TC lifecycles, or hand off work between AI sessions. Covers init/create/update/status/resume/close/export workflows for structured code change documentation.", "provider": "nginity", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/tc-tracker", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/tc-tracker/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "document", "tracker" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/tdd-guide", "name": "tdd-guide", "description": "Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit.", "provider": "nginity", "category": "testing", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/tdd-guide", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/tdd-guide/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "test", "tdd", "guide" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/tech-debt-tracker", "name": "tech-debt-tracker", "description": "Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/skills/tech-debt-tracker", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/skills/tech-debt-tracker/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "tech", "debt", "tracker" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/tech-stack-evaluator", "name": "tech-stack-evaluator", "description": "Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/tech-stack-evaluator", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/tech-stack-evaluator/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "analysis", "tech", "stack", "evaluator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/terraform-patterns", "name": "terraform-patterns", "description": "Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T05:22:59Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "engineering", "updated": "2026-03-15" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/terraform-patterns/skills/terraform-patterns", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/terraform-patterns/skills/terraform-patterns/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "cli", "design", "terraform", "patterns" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 52, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/threat-detection", "name": "threat-detection", "description": "Use when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-score anomaly detection, and MITRE ATT&CK-mapped signal prioritization.", "provider": "nginity", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering-team/skills/threat-detection", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering-team/skills/threat-detection/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "threat", "detection" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ui-design-system", "name": "ui-design-system", "description": "UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use when creating design systems, generating design tokens, maintaining visual consistency, or facilitating design-dev collaboration and developer handoff.", "provider": "nginity", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/ui-design-system", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/ui-design-system/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "ci", "design", "visual", "document", "system" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/universal-scraping-architect", "name": "universal-scraping-architect", "description": "Use for web scraping, crawling, document extraction, API parsing, or building validation-heavy data pipelines using Firecrawl or local Python scripts.", "provider": "nginity", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T04:05:17Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/universal-scraping-architect/skills/universal-scraping-architect", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/universal-scraping-architect/skills/universal-scraping-architect/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "api", "document", "extract", "universal", "scraping", "architect" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/ux-researcher-designer", "name": "ux-researcher-designer", "description": "UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use when conducting user research, creating personas, mapping user journeys, planning usability tests, or validating designs.", "provider": "nginity", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "product-team/skills/ux-researcher-designer", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/product-team/skills/ux-researcher-designer/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "test", "design", "researcher", "designer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/vendor-management", "name": "vendor-management", "description": "Use when reviewing, scoring, or auditing third-party SaaS / vendor relationships \u2014 running a vendor scorecard with industry tuning, tracking SLA compliance with credit-claim flags, classifying third-party risk across 4 risk vectors, preparing a tier-1 vendor review, or auditing the SaaS portfolio. Forks context so large vendor catalogs (50-500 line items) and SLA logs don't pollute the parent thread. Triggers on \"vendor SLA\", \"vendor scorecard\", \"third-party risk\", \"TPRM\", \"vendor review\", \"supplier performance\", \"vendor health check\", \"renewal review\".", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": {}, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "business-operations/skills/vendor-management", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/business-operations/skills/vendor-management/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "vendor", "management" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/vpe-advisor", "name": "vpe-advisor", "description": "VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing \u2192 screen \u2192 onsite \u2192 offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and production discipline (on-call, deployment cadence, postmortem culture). Use when sprint velocity is dropping, eng hiring is broken, team structure is unclear, or deciding when to add a tech-lead manager. NOT a CTO skill (which owns architecture) \u2014 VPE owns delivery operations and how the team ships.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "vp-engineering-leadership", "updated": "2026-05-13", "python-tools": "delivery_throughput_analyzer.py, eng_hiring_funnel_calculator.py, eng_team_structure_designer.py", "frameworks": "delivery-throughput, hiring-funnel, team-structure, production-discipline" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/skills/vpe-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/skills/vpe-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "art", "vpe", "advisor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/vpe-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/vpe-advisor", "name": "vpe-advisor", "description": "VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing \u2192 screen \u2192 onsite \u2192 offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and production discipline (on-call, deployment cadence, postmortem culture). Use when sprint velocity is dropping, eng hiring is broken, team structure is unclear, or deciding when to add a tech-lead manager. NOT a CTO skill (which owns architecture) \u2014 VPE owns delivery operations and how the team ships.", "provider": "nginity", "category": "creative", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-10T14:33:00Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "c-level", "domain": "vp-engineering-leadership", "updated": "2026-05-13", "python-tools": "delivery_throughput_analyzer.py, eng_hiring_funnel_calculator.py, eng_team_structure_designer.py", "frameworks": "delivery-throughput, hiring-funnel, team-structure, production-discipline" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "c-level-advisor/vpe-advisor/skills/vpe-advisor", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/c-level-advisor/vpe-advisor/skills/vpe-advisor/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "art", "vpe", "advisor" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of nginity/vpe-advisor", "duplicate_of": "nginity/vpe-advisor", "duplicate_similarity": 0.97, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711, "similar_skills": [ { "id": "nginity/vpe-advisor", "provider": "nginity", "similarity": 0.97 } ] }, { "id": "nginity/webinar-marketing", "name": "webinar-marketing", "description": "When the user wants to plan, promote, run, or improve a webinar or virtual event to generate and convert demand. Use when the user mentions 'webinar,' 'virtual event,' 'online event,' 'live demo,' 'virtual summit,' 'workshop,' 'masterclass,' 'fireside chat,' 'roundtable,' 'registration funnel,' 'show-up rate,' 'attendance rate,' 'webinar promotion,' 'webinar follow-up,' or 'on-demand webinar.' Also use when they have a webinar that isn't converting \u2014 low registrations, low show-up, or attendees who don't buy \u2014 and want to diagnose and fix it. Covers the full funnel: registration, promotion, show-up, live engagement, live-to-close, and post-event nurture. Distinct from launch-strategy (full product launches) and email-sequence (lifecycle nurture) \u2014 this is the end-to-end webinar/event motion. NOT for in-person field events logistics, and NOT for generic lifecycle email (use email-sequence).", "provider": "nginity", "category": "enterprise", "license": "MIT", "compatibility": null, "last_updated_at": "2026-06-11T03:58:41Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-06-01" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/webinar-marketing", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/webinar-marketing/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "convert", "email", "webinar", "marketing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 37, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/weekly-review", "name": "weekly-review", "description": "Use when someone wants to run a weekly review, close open loops, audit stalled projects and commitments, get their system back to trusted, restart a lapsed review habit, or says \"/cs:weekly-review\". Walks David Allen's three-phase loop \u2014 GET CLEAR, GET CURRENT, GET CREATIVE \u2014 with deterministic scripts that inventory open loops, gate the checklist with named gaps, and score commitment health 0-100.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-07-17T06:10:42Z", "metadata": { "version": "1.0.0", "build_pattern": "Path-B ritual skill \u2014 GTD weekly-review loop preserved + deterministic scanner/gate/auditor scripts added", "distinct_from": "reflect (per-conversation reflection, not a recurring cadence); capture (intake that feeds the system, not the review that maintains it); project-management sprint retros (team ceremony, not a personal trusted-system audit)" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "productivity/weekly-review/skills/weekly-review", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/productivity/weekly-review/skills/weekly-review/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "weekly", "review" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/workflow-builder", "name": "workflow-builder", "description": "Design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool. Use when a user wants to build, create, author, scaffold, or run a custom Claude Code workflow, orchestrate sub-agents (fan-out, pipeline, loop, judge-panel), or automate a repeatable multi-step task across fresh-context agents.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-27T14:20:53Z", "metadata": { "inspired_by": "https://github.com/ray-amjad/claude-code-workflow-creator (Ray Amjad)", "targets": "Claude Code Workflow tool (CLAUDE_CODE_WORKFLOWS=1, /workflows)", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/workflow-builder/skills/workflow-builder", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/workflow-builder/skills/workflow-builder/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "design", "workflow", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 51, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/write-a-skill", "name": "write-a-skill", "description": "Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-13T21:26:44Z", "metadata": { "derived_from": "https://github.com/mattpocock/skills/tree/main/skills/productivity/write-a-skill", "original_author": "Matt Pocock (@mattpocock)", "original_license": "MIT", "voice": "Matt Pocock \u2014 direct, concrete, imperative, example-driven", "version": "1.0.0" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "engineering/write-a-skill/skills/write-a-skill", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/write-a-skill/skills/write-a-skill/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "write", "skill" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 65, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "nginity/x-twitter-growth", "name": "x-twitter-growth", "description": "X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.", "provider": "nginity", "category": "development", "license": "MIT", "compatibility": null, "last_updated_at": "2026-05-02T20:51:20Z", "metadata": { "version": "1.0.0", "author": "Alireza Rezvani", "category": "marketing", "updated": "2026-03-10" }, "source": { "repo": "https://github.com/alirezarezvani/claude-skills", "path": "marketing-skill/skills/x-twitter-growth", "skill_md_url": "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/marketing-skill/skills/x-twitter-growth/SKILL.md", "commit_sha": "aa8d778811a557a2c28ccadda4cf3d0bd028a4cc" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "twitter", "growth" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 76, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22711 }, { "id": "anthropics/claude-api", "name": "claude-api", "description": "Reference for the Claude API / Anthropic SDK \u2014 model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER \u2014 read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" \u2014 whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) \u2014 never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named \u2014 don't Read the file).", "provider": "anthropics", "category": "ml-ai", "license": "Complete terms in LICENSE.txt", "compatibility": null, "last_updated_at": "2026-07-01T18:11:23Z", "metadata": {}, "source": { "repo": "https://github.com/anthropics/skills", "path": "skills/claude-api", "skill_md_url": "https://raw.githubusercontent.com/anthropics/skills/main/skills/claude-api/SKILL.md", "commit_sha": "fa0fa64bdc967915dc8399e803be67759e1e62b8" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "api", "mcp", "extract", "claude" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 15, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 161893 }, { "id": "anthropics/docx", "name": "docx", "description": "Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.", "provider": "anthropics", "category": "documents", "license": "Proprietary. LICENSE.txt has complete terms", "compatibility": null, "last_updated_at": "2026-07-17T02:47:37Z", "metadata": {}, "source": { "repo": "https://github.com/anthropics/skills", "path": "skills/docx", "skill_md_url": "https://raw.githubusercontent.com/anthropics/skills/main/skills/docx/SKILL.md", "commit_sha": "fa0fa64bdc967915dc8399e803be67759e1e62b8" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pdf", "docx", "pr", "ci", "document", "extract", "convert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 161893 }, { "id": "anthropics/pdf", "name": "pdf", "description": "Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.", "provider": "anthropics", "category": "creative", "license": "Proprietary. LICENSE.txt has complete terms", "compatibility": null, "last_updated_at": "2026-02-04T02:09:36Z", "metadata": {}, "source": { "repo": "https://github.com/anthropics/skills", "path": "skills/pdf", "skill_md_url": "https://raw.githubusercontent.com/anthropics/skills/main/skills/pdf/SKILL.md", "commit_sha": "fa0fa64bdc967915dc8399e803be67759e1e62b8" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pdf", "pr", "art", "extract" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 163, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 161893 }, { "id": "anthropics/pptx", "name": "pptx", "description": "Use this skill any time a .pptx or .potx file is involved in any way \u2014 as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.", "provider": "anthropics", "category": "documents", "license": "Proprietary. LICENSE.txt has complete terms", "compatibility": null, "last_updated_at": "2026-07-17T02:47:37Z", "metadata": {}, "source": { "repo": "https://github.com/anthropics/skills", "path": "skills/pptx", "skill_md_url": "https://raw.githubusercontent.com/anthropics/skills/main/skills/pptx/SKILL.md", "commit_sha": "fa0fa64bdc967915dc8399e803be67759e1e62b8" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pptx", "pr", "extract", "email" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 161893 }, { "id": "anthropics/skill-creator", "name": "skill-creator", "description": "Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.", "provider": "anthropics", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-06T20:06:23Z", "metadata": {}, "source": { "repo": "https://github.com/anthropics/skills", "path": "skills/skill-creator", "skill_md_url": "https://raw.githubusercontent.com/anthropics/skills/main/skills/skill-creator/SKILL.md", "commit_sha": "fa0fa64bdc967915dc8399e803be67759e1e62b8" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "test", "analysis", "skill", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 132, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 161893 }, { "id": "anthropics/xlsx", "name": "xlsx", "description": "Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path \u2014 even casually (like \"the xlsx in my downloads\") \u2014 and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.", "provider": "anthropics", "category": "data", "license": "Proprietary. LICENSE.txt has complete terms", "compatibility": null, "last_updated_at": "2026-07-17T02:47:37Z", "metadata": {}, "source": { "repo": "https://github.com/anthropics/skills", "path": "skills/xlsx", "skill_md_url": "https://raw.githubusercontent.com/anthropics/skills/main/skills/xlsx/SKILL.md", "commit_sha": "fa0fa64bdc967915dc8399e803be67759e1e62b8" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "xlsx", "csv", "pr", "ci", "api", "art", "document", "convert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 161893 }, { "id": "neondatabase/claimable-postgres", "name": "claimable-postgres", "description": "Provision instant temporary Postgres databases via Claimable Postgres by Neon (neon.new) with no login, signup, or credit card. Supports REST API, CLI, and SDK. Use when users ask for a quick Postgres environment, a throwaway DATABASE_URL for prototyping/tests, or \"just give me a DB now\". Triggers include: \"quick postgres\", \"temporary postgres\", \"no signup database\", \"no credit card database\", \"instant DATABASE_URL\", \"npx neon-new\", \"neon.new\", \"neon.new API\", \"claimable postgres API\".", "provider": "neondatabase", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-30T18:38:14Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/claimable-postgres", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/claimable-postgres/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "api", "cli", "claimable", "postgres" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 16, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 80 }, { "id": "neondatabase/neon", "name": "neon", "description": "Overview of the Neon platform for apps and agents, spanning Postgres, Auth, the Data API, and the new services: Object Storage, Compute Functions, and AI Gateway. Use when \"Neon\" is mentioned, or when any of its individual capabilities are the trigger: \"object storage\" or \"S3\", \"buckets\", \"serverless functions\", \"AI gateway\", \"call an LLM\", \"postgres\", \"database\", or \"backend\".", "provider": "neondatabase", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T17:27:43Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "api", "neon" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 80 }, { "id": "neondatabase/neon-ai-gateway", "name": "neon-ai-gateway", "description": "One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, DeepSeek), or avoid juggling separate provider API keys and accounts \u2014 especially when they already use Neon and want AI requests to branch with their project. Works with the OpenAI SDK, Anthropic SDK, google-genai, the Vercel AI SDK, and Mastra by changing only the base URL. Triggers include \"call an LLM\", \"add AI to my app\", \"chat completion\", \"model routing\", \"LLM proxy/gateway\", \"one API for all models\", \"use Claude/GPT/Gemini\", \"AI SDK\", \"Mastra agent\", \"Neon AI Gateway\", and \"log/rate-limit AI calls\".", "provider": "neondatabase", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T17:27:43Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon-ai-gateway", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon-ai-gateway/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "api", "neon", "gateway" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 80 }, { "id": "neondatabase/neon-functions", "name": "neon-functions", "description": "Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, or any request/response workload that risks timing out on short, lambda-style serverless functions \u2014 and wants it to branch with their database. Triggers include \"serverless function\", \"deploy an API\", \"long-running function\", \"streaming agent\", \"SSE server\", \"WebSocket server\", \"webhook handler\", \"run code next to my database\", \"function that won't time out\", \"Neon Functions\", and \"Neon Compute\".", "provider": "neondatabase", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T22:13:40Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon-functions", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon-functions/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "neon", "functions" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 80 }, { "id": "neondatabase/neon-object-storage", "name": "neon-object-storage", "description": "S3-compatible object storage that branches with your Neon project, so files and the database stay in sync across every branch. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for their app or agent \u2014 especially when they already use (or are setting up) Neon Postgres and don't want to add a separate storage provider like AWS S3, Cloudflare R2, or Supabase Storage. Triggers include \"object storage\", \"bucket\", \"blob storage\", \"file storage\", \"store uploads/images/files\", \"S3-compatible storage\", \"presigned URL\", \"where do I put files\", \"Neon Object Storage\", \"Neon Storage\", and \"storage that branches with my database\".", "provider": "neondatabase", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T17:27:43Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon-object-storage", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon-object-storage/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "document", "neon", "object", "storage" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 80 }, { "id": "neondatabase/neon-postgres", "name": "neon-postgres", "description": "Guides and best practices for working with Neon Serverless Postgres. Covers setup, connection methods, branching, autoscaling, scale-to-zero, read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server, REST API, TypeScript SDK, and Python SDK. Use when users ask about \"Neon setup\", \"connect to Neon\", \"Neon project\", \"DATABASE_URL\", \"serverless Postgres\", \"Neon CLI\", \"neon\", \"Neon MCP\", \"Neon Auth\", \"@neondatabase/serverless\", \"@neondatabase/neon-js\", \"scale to zero\", \"Neon autoscaling\", \"Neon read replica\", or \"Neon connection pooling\".", "provider": "neondatabase", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T22:13:40Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon-postgres", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon-postgres/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "mcp", "cli", "neon", "postgres" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 80 }, { "id": "neondatabase/neon-postgres-branches", "name": "neon-postgres-branches", "description": "Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated test environments, schema-only branch workflows for sensitive data, or branch creation via Neon CLI or Neon MCP. Triggers include \"Neon branch\", \"test migrations safely\", \"branch production data\", \"schema-only branch\", \"reset branch\" and \"sensitive data testing\".", "provider": "neondatabase", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-15T05:17:14Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon-postgres-branches", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon-postgres-branches/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "mcp", "cli", "neon", "postgres", "branches" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 80 }, { "id": "neondatabase/neon-postgres-egress-optimizer", "name": "neon-postgres-egress-optimizer", "description": "Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when a user mentions high database bills, unexpected data transfer costs, network transfer charges, egress spikes, \"why is my Neon bill so high\", \"database costs jumped\", SELECT * optimization, query overfetching, reduce Neon costs, optimize database usage, or wants to reduce data sent from their database to their application. Also use when reviewing query patterns for cost efficiency, even if the user doesn't explicitly mention egress or data transfer.", "provider": "neondatabase", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-30T18:38:14Z", "metadata": {}, "source": { "repo": "https://github.com/neondatabase/agent-skills", "path": "skills/neon-postgres-egress-optimizer", "skill_md_url": "https://raw.githubusercontent.com/neondatabase/agent-skills/main/skills/neon-postgres-egress-optimizer/SKILL.md", "commit_sha": "d232c83a87bd61bacb1ad60de128fcc91a9b6418" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "ci", "neon", "postgres", "egress", "optimizer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 16, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 80 }, { "id": "getsentry/skill-scanner", "name": "skill-scanner", "description": "Scan agent skills for security issues. Use when asked to \"scan a skill\", \"audit a skill\", \"review skill security\", \"check skill for injection\", \"validate SKILL.md\", or assess whether an agent skill is safe to install. Checks for prompt injection, malicious scripts, excessive permissions, secret exposure, and supply chain risks.", "provider": "getsentry", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-05-09T17:46:26Z", "metadata": {}, "source": { "repo": "https://github.com/getsentry/skills", "path": "skills/skill-scanner", "skill_md_url": "https://raw.githubusercontent.com/getsentry/skills/main/skills/skill-scanner/SKILL.md", "commit_sha": "412f2368ee3ec90ce042826b57533f080d531aaf" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "skill", "scanner" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 67, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 864 }, { "id": "getsentry/skill-writer", "name": "skill-writer", "description": "Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to \"create a skill\", \"write a skill\", \"synthesize sources into a skill\", \"improve a skill from positive/negative examples\", \"update a skill\", or \"maintain skill docs and registration\". Handles source capture, precision passes, authoring, registration, and validation.", "provider": "getsentry", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-30T20:52:17Z", "metadata": {}, "source": { "repo": "https://github.com/getsentry/skills", "path": "skills/skill-writer", "skill_md_url": "https://raw.githubusercontent.com/getsentry/skills/main/skills/skill-writer/SKILL.md", "commit_sha": "412f2368ee3ec90ce042826b57533f080d531aaf" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "skill", "writer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 15, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 864 }, { "id": "huggingface/hf-cli", "name": "hf-cli", "description": "Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-09T15:06:41Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cli", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cli/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "cli" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 6, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/hf-cloud-aws-context-discovery", "name": "hf-cloud-aws-context-discovery", "description": "Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work \u2014 deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like \"use my AWS account\", \"deploy to AWS\", \"use my profile\", or when about to make any AWS CLI or SDK call. Never guess the region or account ID \u2014 always use this skill to read it from the local configuration first.", "provider": "huggingface", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T14:32:21Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cloud-aws-context-discovery", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cloud-aws-context-discovery/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "api", "cli", "art", "cloud", "aws", "context", "discovery" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/hf-cloud-python-env-setup", "name": "hf-cloud-python-env-setup", "description": "Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation \u2014 including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to \"set up the environment\". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.", "provider": "huggingface", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T14:32:21Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cloud-python-env-setup", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cloud-python-env-setup/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "cloud", "python", "env", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/hf-cloud-sagemaker-deployment-planner", "name": "hf-cloud-sagemaker-deployment-planner", "description": "Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS \u2014 including phrases like \"deploy a model\", \"host this LLM on AWS\", \"serve this embedding model\", \"deploy a reranker\", \"deploy a text-to-image / diffusion model\", \"host this for async inference\", \"create an endpoint\", \"serve my fine-tuned model\", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. \"I just want to get this running on AWS, you figure it out\"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models \u2014 picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work \u2014 it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T14:32:21Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cloud-sagemaker-deployment-planner", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cloud-sagemaker-deployment-planner/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "cloud", "sagemaker", "deployment", "planner" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/hf-cloud-sagemaker-iam-preflight", "name": "hf-cloud-sagemaker-iam-preflight", "description": "Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` \u2014 always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T14:32:21Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cloud-sagemaker-iam-preflight", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cloud-sagemaker-iam-preflight/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cloud", "sagemaker", "iam", "preflight" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/hf-cloud-sagemaker-production-defaults", "name": "hf-cloud-sagemaker-production-defaults", "description": "Create a SageMaker endpoint (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints and deploy_async.py for async endpoints (with genuine scale-to-zero support). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults \u2014 endpoints without autoscaling or alarms are demos, not deployments.", "provider": "huggingface", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T14:32:21Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cloud-sagemaker-production-defaults", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cloud-sagemaker-production-defaults/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "cloud", "sagemaker", "production", "defaults" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/hf-cloud-serving-image-selection", "name": "hf-cloud-serving-image-selection", "description": "Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen \u2014 including when the user says \"deploy this LLM\", \"host this HuggingFace model\", \"serve this fine-tuned model\", \"deploy this embedding model\", \"host a reranker\", \"serve a sentence-transformers model\", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible \u2014 never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-07T14:32:21Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/hf-cloud-serving-image-selection", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/hf-cloud-serving-image-selection/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "cloud", "serving", "image", "selection" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-community-evals", "name": "huggingface-community-evals", "description": "Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-03-23T15:24:34Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-community-evals", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-community-evals/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "huggingface", "community", "evals" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 114, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-llm-trainer", "name": "huggingface-llm-trainer", "description": "Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.", "provider": "huggingface", "category": "ml-ai", "license": "Complete terms in LICENSE.txt", "compatibility": null, "last_updated_at": "2026-04-09T10:58:58Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-llm-trainer", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-llm-trainer/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "huggingface", "llm", "trainer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 97, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 10819 }, { "id": "huggingface/huggingface-local-models", "name": "huggingface-local-models", "description": "Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-04-22T06:42:11Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-local-models", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-local-models/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "huggingface", "local", "models" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 85, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-lora-space-builder", "name": "huggingface-lora-space-builder", "description": "Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA \u2014 including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers when someone describes a LoRA they trained or hosts on the Hub and wants to share it. Covers picking the right base pipeline and `diffusers` inference recipe, designing a UI tailored to the LoRA's task and inputs (Union/multi-task control, edit, video, image, etc.), respecting model-card recommendations (trigger words, steps, guidance, LoRA scale, example inputs), and shipping to ZeroGPU hardware as a private Space by default.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-16T08:07:15Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-lora-space-builder", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-lora-space-builder/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "huggingface", "lora", "space", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-paper-publisher", "name": "huggingface-paper-publisher", "description": "Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-03-23T15:24:34Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-paper-publisher", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-paper-publisher/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "huggingface", "paper", "publisher" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 114, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-spaces", "name": "huggingface-spaces", "description": "Build, deploy, and maintain applications on Hugging Face Spaces \u2014 Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces \u2026`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-13T15:31:38Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-spaces", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-spaces/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "huggingface", "spaces" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 2, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 10819 }, { "id": "huggingface/huggingface-tool-builder", "name": "huggingface-tool-builder", "description": "Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.", "provider": "huggingface", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-01T19:07:10Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-tool-builder", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-tool-builder/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "api", "huggingface", "tool", "builder" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 105, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-trackio", "name": "huggingface-trackio", "description": "Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-07-06T17:39:01Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-trackio", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-trackio/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "ci", "api", "cli", "visual", "huggingface", "trackio" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 9, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/huggingface-vision-trainer", "name": "huggingface-vision-trainer", "description": "Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models \u2014 MobileNetV3, MobileViT, ResNet, ViT/DINOv3 \u2014 plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-03-23T15:24:34Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-vision-trainer", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-vision-trainer/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "huggingface", "vision", "trainer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 114, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 10819 }, { "id": "huggingface/huggingface-zerogpu", "name": "huggingface-zerogpu", "description": "AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints \u2014 pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures \u2014 even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.", "provider": "huggingface", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-20T15:18:47Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/huggingface-zerogpu", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/huggingface-zerogpu/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "huggingface", "zerogpu" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 56, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/train-sentence-transformers", "name": "train-sentence-transformers", "description": "Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval / pair classification), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.", "provider": "huggingface", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-07T12:50:17Z", "metadata": {}, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/train-sentence-transformers", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/train-sentence-transformers/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "train", "sentence", "transformers" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 69, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "huggingface/transformers-js", "name": "transformers-js", "description": "Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in browsers and server-side runtimes (Node.js, Bun, Deno) with WebGPU/WASM using pre-trained models from Hugging Face Hub.", "provider": "huggingface", "category": "creative", "license": "Apache-2.0", "compatibility": "Requires Node.js 18+ (or compatible Bun/Deno runtime) or modern browser with ES modules support. WebGPU requires runtime and hardware support; WASM is the broad fallback. Internet access is needed for downloading models from Hugging Face Hub (optional if using local models).", "last_updated_at": "2026-04-10T15:57:42Z", "metadata": { "author": "huggingface", "version": "4.x", "category": "machine-learning", "repository": "https://github.com/huggingface/transformers.js" }, "source": { "repo": "https://github.com/huggingface/skills", "path": "skills/transformers-js", "skill_md_url": "https://raw.githubusercontent.com/huggingface/skills/main/skills/transformers-js/SKILL.md", "commit_sha": "86cdeee824b73e504198b6005bb113552cdfa7ba" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "art", "transformers" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 96, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10819 }, { "id": "cloudflare/agents-sdk", "name": "agents-sdk", "description": "Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.", "provider": "cloudflare", "category": "web", "license": null, "compatibility": null, "last_updated_at": "2026-04-15T07:46:50Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/agents-sdk", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/agents-sdk/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "mcp", "knowledge", "agents", "sdk" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 90, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 2144 }, { "id": "cloudflare/cloudflare", "name": "cloudflare", "description": "Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.", "provider": "cloudflare", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T14:23:34Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/cloudflare", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/cloudflare/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "knowledge", "cloudflare" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 23, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 2144 }, { "id": "cloudflare/cloudflare-email-service", "name": "cloudflare-email-service", "description": "Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app \u2014 Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like \"add email to my Worker\" \u2014 this skill has critical config details.", "provider": "cloudflare", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-15T19:04:01Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/cloudflare-email-service", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/cloudflare-email-service/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "api", "mcp", "email", "cloudflare", "service" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 89, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 2144 }, { "id": "cloudflare/cloudflare-one", "name": "cloudflare-one", "description": "Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs.", "provider": "cloudflare", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-14T19:33:46Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/cloudflare-one", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/cloudflare-one/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "api", "design", "cloudflare", "one" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 29, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 2144 }, { "id": "cloudflare/cloudflare-one-migrations", "name": "cloudflare-one-migrations", "description": "Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis.", "provider": "cloudflare", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-14T19:33:46Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/cloudflare-one-migrations", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/cloudflare-one-migrations/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "analysis", "cloudflare", "one", "migrations" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 29, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2144 }, { "id": "cloudflare/durable-objects", "name": "durable-objects", "description": "Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.", "provider": "cloudflare", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-03T15:30:51Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/durable-objects", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/durable-objects/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "knowledge", "durable", "objects" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 132, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2144 }, { "id": "cloudflare/sandbox-sdk", "name": "sandbox-sdk", "description": "Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.", "provider": "cloudflare", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-03T15:30:51Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/sandbox-sdk", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/sandbox-sdk/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "cd", "knowledge", "sandbox", "sdk" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 132, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2144 }, { "id": "cloudflare/turnstile-spin", "name": "turnstile-spin", "description": "Set up Cloudflare Turnstile end-to-end in a project. Scan the codebase, create the widget via the Cloudflare API, embed it on the right forms, wire canonical server-side siteverify in the customer's existing backend, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin.", "provider": "cloudflare", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-09T22:30:07Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/turnstile-spin", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/turnstile-spin/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "turnstile", "spin" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 2144 }, { "id": "cloudflare/workers-best-practices", "name": "workers-best-practices", "description": "Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.", "provider": "cloudflare", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-12T20:50:56Z", "metadata": {}, "source": { "repo": "https://github.com/cloudflare/skills", "path": "skills/workers-best-practices", "skill_md_url": "https://raw.githubusercontent.com/cloudflare/skills/main/skills/workers-best-practices/SKILL.md", "commit_sha": "70215303d44a81a0db3219428f4825b604fc6061" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "knowledge", "workers", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 151, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2144 }, { "id": "better-auth/better-auth-best-practices", "name": "better-auth-best-practices", "description": "Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.", "provider": "better-auth", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T00:03:58Z", "metadata": {}, "source": { "repo": "https://github.com/better-auth/skills", "path": "better-auth/best-practices", "skill_md_url": "https://raw.githubusercontent.com/better-auth/skills/main/better-auth/best-practices/SKILL.md", "commit_sha": "17dfe3a1da1c3982de723098ba1015d67f35694c" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "cli", "email", "better", "auth", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 201 }, { "id": "better-auth/create-auth", "name": "create-auth", "description": "Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detect frameworks, configure database adapters, set up route handlers, add OAuth providers, and create auth UI pages. Use when users want to add login, sign-up, or authentication to a new or existing project with Better Auth.", "provider": "better-auth", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T00:03:58Z", "metadata": {}, "source": { "repo": "https://github.com/better-auth/skills", "path": "better-auth/create-auth", "skill_md_url": "https://raw.githubusercontent.com/better-auth/skills/main/better-auth/create-auth/SKILL.md", "commit_sha": "17dfe3a1da1c3982de723098ba1015d67f35694c" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "create", "auth" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 201 }, { "id": "better-auth/organization-best-practices", "name": "organization-best-practices", "description": "Configure multi-tenant organizations, manage members and invitations, define custom roles and permissions, set up teams, and implement RBAC using Better Auth's organization plugin. Use when users need org setup, team management, member roles, access control, or the Better Auth organization plugin.", "provider": "better-auth", "category": "integrations", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T00:03:58Z", "metadata": {}, "source": { "repo": "https://github.com/better-auth/skills", "path": "better-auth/organization", "skill_md_url": "https://raw.githubusercontent.com/better-auth/skills/main/better-auth/organization/SKILL.md", "commit_sha": "17dfe3a1da1c3982de723098ba1015d67f35694c" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "organization", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 201 }, { "id": "better-auth/two-factor-authentication-best-practices", "name": "two-factor-authentication-best-practices", "description": "Configure TOTP authenticator apps, send OTP codes via email/SMS, manage backup codes, handle trusted devices, and implement 2FA sign-in flows using Better Auth's twoFactor plugin. Use when users need MFA, multi-factor authentication, authenticator setup, or login security with Better Auth.", "provider": "better-auth", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-07-11T00:03:58Z", "metadata": {}, "source": { "repo": "https://github.com/better-auth/skills", "path": "better-auth/twoFactor", "skill_md_url": "https://raw.githubusercontent.com/better-auth/skills/main/better-auth/twoFactor/SKILL.md", "commit_sha": "17dfe3a1da1c3982de723098ba1015d67f35694c" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "email", "two", "factor", "authentication", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 201 }, { "id": "supabase/supabase", "name": "supabase", "description": "Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector).", "provider": "supabase", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-07-10T15:01:00Z", "metadata": { "author": "supabase", "version": "0.1.2" }, "source": { "repo": "https://github.com/supabase/agent-skills", "path": "skills/supabase", "skill_md_url": "https://raw.githubusercontent.com/supabase/agent-skills/main/skills/supabase/SKILL.md", "commit_sha": "1ad9aaeb49caafd9e95c0a91116f71890eebbc53" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "mcp", "cli", "supabase" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 90, "skill_type": "full", "requires_mcp": true, "github_stars": 2327 }, { "id": "supabase/supabase-postgres-best-practices", "name": "supabase-postgres-best-practices", "description": "Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.", "provider": "supabase", "category": "data", "license": "MIT", "compatibility": null, "last_updated_at": "2026-04-05T18:37:31Z", "metadata": { "author": "supabase", "version": "1.1.1", "organization": "Supabase", "date": "January 2026", "abstract": "Comprehensive Postgres performance optimization guide for developers using Supabase and Postgres. Contains performance rules across 8 categories, prioritized by impact from critical (query performance, connection management) to incremental (advanced features). Each rule includes detailed explanations, incorrect vs. correct SQL examples, query plan analysis, and specific performance metrics to guide automated optimization and code generation." }, "source": { "repo": "https://github.com/supabase/agent-skills", "path": "skills/supabase-postgres-best-practices", "skill_md_url": "https://raw.githubusercontent.com/supabase/agent-skills/main/skills/supabase-postgres-best-practices/SKILL.md", "commit_sha": "1ad9aaeb49caafd9e95c0a91116f71890eebbc53" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "supabase", "postgres", "best", "practices" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 96, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 2327 }, { "id": "sanjay-ai-skills/apple-container", "name": "apple-container", "description": "Apple's open-source `container` CLI to build, run, and manage OCI/Linux containers as\nlightweight per-container VMs on Apple-silicon macOS \u2014 no Docker daemon required. Use when\nthe user mentions the `container` CLI, \"apple container\", running or building containers on\nmacOS without Docker/Podman, `container run`, `container build`, `container images`,\n`container system start`, pushing/pulling images to a registry, or container networking on\nmacOS. This is Apple's `container` tool specifically (repo `apple/container`), NOT Docker,\nPodman, containerd, nerdctl, or Kubernetes \u2014 the CLI is Docker-like but is a different tool.\n", "provider": "sanjay-ai-skills", "category": "development", "license": "Apache-2.0", "compatibility": null, "last_updated_at": "2026-07-06T20:13:58Z", "metadata": { "author": "sanjay3290", "version": "1.0" }, "source": { "repo": "https://github.com/sanjay3290/ai-skills", "path": "skills/apple-container", "skill_md_url": "https://raw.githubusercontent.com/sanjay3290/ai-skills/main/skills/apple-container/SKILL.md", "commit_sha": "361969210b1002034be70de60a041a25732b098a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "cli", "art", "apple", "container" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 3, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 335 }, { "id": "sanjay-ai-skills/grok-build", "name": "grok-build", "description": "Orchestrate coding work by delegating well-specified implementation tasks to xAI's Grok Build CLI (grok) running headlessly, while the coding assistant plans, writes the task specs, reviews every diff, and owns the result. Use when user says: 'use grok', 'grok build', 'delegate to grok', 'have grok implement', 'have grok execute', 'have grok build', 'send to grok', 'execute this plan with grok'. Executes a Markdown implementation plan task-by-task, or ad-hoc tasks with an inline spec.", "provider": "sanjay-ai-skills", "category": "development", "license": "Apache-2.0", "compatibility": null, "last_updated_at": "2026-07-09T14:18:29Z", "metadata": { "author": "sanjay3290", "version": "1.0" }, "source": { "repo": "https://github.com/sanjay3290/ai-skills", "path": "skills/grok-build", "skill_md_url": "https://raw.githubusercontent.com/sanjay3290/ai-skills/main/skills/grok-build/SKILL.md", "commit_sha": "361969210b1002034be70de60a041a25732b098a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "ci", "cli", "grok", "build" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 335 }, { "id": "sanjay-ai-skills/notebooklm", "name": "notebooklm", "description": "Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.", "provider": "sanjay-ai-skills", "category": "security", "license": "Apache-2.0", "compatibility": null, "last_updated_at": "2026-02-19T02:28:52Z", "metadata": { "author": "sanjay3290", "version": "1.0" }, "source": { "repo": "https://github.com/sanjay3290/ai-skills", "path": "skills/notebooklm", "skill_md_url": "https://raw.githubusercontent.com/sanjay3290/ai-skills/main/skills/notebooklm/SKILL.md", "commit_sha": "361969210b1002034be70de60a041a25732b098a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "notebooklm" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 141, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 335 }, { "id": "sanjay-ai-skills/telegram", "name": "telegram", "description": "Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone). Supports multiple bots and named chat targets. Use when the user wants to send a Telegram message or alert, get notified on Telegram when a task finishes or needs input, ask for approval via Telegram, or wire Telegram notifications into hooks, cron jobs, or CI. Triggers: 'telegram', 'send me a telegram', 'alert me on telegram', 'ask me on telegram', 'notify me when done'.", "provider": "sanjay-ai-skills", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-06T20:59:51Z", "metadata": {}, "source": { "repo": "https://github.com/sanjay3290/ai-skills", "path": "skills/telegram", "skill_md_url": "https://raw.githubusercontent.com/sanjay3290/ai-skills/main/skills/telegram/SKILL.md", "commit_sha": "361969210b1002034be70de60a041a25732b098a" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "api", "telegram" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 3, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 335 }, { "id": "sanjay-ai-skills/whatsapp", "name": "whatsapp", "description": "Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) \u2014 pair with QR, send text/images, group chat, read receipts, presence/typing, and a long-running JSON event stream. Use when the user wants to script WhatsApp as a linked companion device (like WhatsApp Web), pair a device, send a WhatsApp from Python, or listen for inbound messages. Triggers: 'whatsapp', 'send whatsapp', 'pair whatsapp', 'pywhats', 'linked device', 'whatsapp web client'. NOT the official WhatsApp Business/Cloud API.", "provider": "sanjay-ai-skills", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-07-09T20:38:45Z", "metadata": {}, "source": { "repo": "https://github.com/sanjay3290/ai-skills", "path": "skills/whatsapp", "skill_md_url": "https://raw.githubusercontent.com/sanjay3290/ai-skills/main/skills/whatsapp/SKILL.md", "commit_sha": "361969210b1002034be70de60a041a25732b098a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "ci", "api", "cli", "whatsapp" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 335 }, { "id": "obra-superpowers/brainstorming", "name": "brainstorming", "description": "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.", "provider": "obra-superpowers", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-09T22:32:58Z", "metadata": {}, "source": { "repo": "https://github.com/obra/superpowers", "path": "skills/brainstorming", "skill_md_url": "https://raw.githubusercontent.com/obra/superpowers/main/skills/brainstorming/SKILL.md", "commit_sha": "d884ae04edebef577e82ff7c4e143debd0bbec99" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "design", "brainstorming" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 23, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 244998 }, { "id": "obra-superpowers/subagent-driven-development", "name": "subagent-driven-development", "description": "Use when executing implementation plans with independent tasks in the current session", "provider": "obra-superpowers", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-06-18T21:46:21Z", "metadata": {}, "source": { "repo": "https://github.com/obra/superpowers", "path": "skills/subagent-driven-development", "skill_md_url": "https://raw.githubusercontent.com/obra/superpowers/main/skills/subagent-driven-development/SKILL.md", "commit_sha": "d884ae04edebef577e82ff7c4e143debd0bbec99" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "subagent", "driven", "development" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 14, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 244998 }, { "id": "obra-superpowers/using-superpowers", "name": "using-superpowers", "description": "Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions", "provider": "obra-superpowers", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-06-25T02:23:47Z", "metadata": {}, "source": { "repo": "https://github.com/obra/superpowers", "path": "skills/using-superpowers", "skill_md_url": "https://raw.githubusercontent.com/obra/superpowers/main/skills/using-superpowers/SKILL.md", "commit_sha": "d884ae04edebef577e82ff7c4e143debd0bbec99" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "art", "using", "superpowers" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 8, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 244998 }, { "id": "trailofbits/agentic-actions-auditor", "name": "agentic-actions-auditor", "description": "Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/agentic-actions-auditor/skills/agentic-actions-auditor", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/agentic-actions-auditor/skills/agentic-actions-auditor/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "github", "git", "pr", "ci", "cd", "cli", "agentic", "actions", "auditor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/audit-augmentation", "name": "audit-augmentation", "description": "Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-referencing Semgrep or CodeQL findings with call graph data, or visualizing audit findings in the context of code structure.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:04:14Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/audit-augmentation", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/audit-augmentation/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "visual", "analysis", "audit", "augmentation" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/burpsuite-project-parser", "name": "burpsuite-project-parser", "description": "Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.", "provider": "trailofbits", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/burpsuite-project-parser/skills/burpsuite-project-parser", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/burpsuite-project-parser/skills/burpsuite-project-parser/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "pr", "extract", "burpsuite", "project", "parser" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/c-review", "name": "c-review", "description": "Performs comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or hunting integer overflow / use-after-free / race conditions in userspace code.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-30T15:14:46Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/c-review/skills/c-review", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/c-review/skills/c-review/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "ci", "review" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/chrome-mcp-troubleshooting", "name": "chrome-mcp-troubleshooting", "description": "Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return \"Browser extension is not connected\", or behave erratically.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-05T16:18:09Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/claude-in-chrome-troubleshooting/skills/chrome-mcp-troubleshooting", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/claude-in-chrome-troubleshooting/skills/chrome-mcp-troubleshooting/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "mcp", "chrome", "troubleshooting" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 25, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 5948 }, { "id": "trailofbits/codeql", "name": "codeql", "description": "Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis. Triggers on \"run codeql\", \"codeql scan\", \"codeql analysis\", \"build codeql database\", or \"find vulnerabilities with codeql\". Supports \"run all\" (security-and-quality + security-experimental suites) and \"important only\" (high-precision security findings) scan modes. Also handles creating data extension models and processing CodeQL SARIF output.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/static-analysis/skills/codeql", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/static-analysis/skills/codeql/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "analysis", "codeql" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948, "similar_skills": [ { "id": "github/codeql", "provider": "github", "similarity": 0.47 } ] }, { "id": "trailofbits/constant-time-analysis", "name": "constant-time-analysis", "description": "Detects timing side-channel vulnerabilities in cryptographic code. Use when implementing or reviewing crypto code, encountering division on secrets, secret-dependent branches, or constant-time programming questions in C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, or Ruby.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-01-14T20:24:03Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/constant-time-analysis/skills/constant-time-analysis", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/constant-time-analysis/skills/constant-time-analysis/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "analysis", "constant", "time" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 167, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/crypto-protocol-diagram", "name": "crypto-protocol-diagram", "description": "Extracts protocol message flow from source code, RFCs, academic papers, pseudocode, informal prose, ProVerif (.pv), or Tamarin (.spthy) models and generates Mermaid sequenceDiagrams with cryptographic annotations. Use when diagramming a crypto protocol, visualizing a handshake or key exchange flow, extracting message flow from a spec or RFC, diagramming a ProVerif or Tamarin model, or drawing sequence diagrams for TLS, Noise, Signal, X3DH, Double Ratchet, FROST, DH, or ECDH protocols.", "provider": "trailofbits", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-03-31T21:31:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/crypto-protocol-diagram", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/crypto-protocol-diagram/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "cd", "visual", "extract", "crypto", "protocol", "diagram" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/debug-buttercup", "name": "debug-buttercup", "description": "Debugs the Buttercup CRS (Cyber Reasoning System) running on Kubernetes. Use when diagnosing pod crashes, restart loops, Redis failures, resource pressure, disk saturation, DinD issues, or any service misbehavior in the crs namespace. Covers triage, log analysis, queue inspection, and common failure patterns for: redis, fuzzer-bot, coverage-bot, seed-gen, patcher, build-bot, scheduler, task-server, task-downloader, program-model, litellm, dind, tracer-bot, merger-bot, competition-api, pov-reproducer, scratch-cleaner, registry-cache, image-preloader, ui.", "provider": "trailofbits", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-02-11T04:40:38Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/debug-buttercup/skills/debug-buttercup", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/debug-buttercup/skills/debug-buttercup/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "api", "art", "merge", "analysis", "debug", "buttercup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 140, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/designing-workflow-skills", "name": "designing-workflow-skills", "description": "Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure. Use when creating skills that involve sequential pipelines, routing patterns, safety gates, task tracking, phased execution, or any multi-step workflow. Also applies when reviewing or refactoring existing workflow skills for quality.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/workflow-skill-design/skills/designing-workflow-skills", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/workflow-skill-design/skills/designing-workflow-skills/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "design", "designing", "workflow", "skills" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/devcontainer-setup", "name": "devcontainer-setup", "description": "Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T00:50:28Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/devcontainer-setup/skills/devcontainer-setup", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/devcontainer-setup/skills/devcontainer-setup/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "devcontainer", "setup" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/diagramming-code", "name": "diagramming-code", "description": "Generates Mermaid diagrams from Trailmark code graphs. Produces call graphs, class hierarchies, module dependency maps, containment diagrams, complexity heatmaps, and attack surface data flow visualizations. Use when visualizing code architecture, drawing call graphs, generating class diagrams, creating dependency maps, producing complexity heatmaps, or visualizing data flow and attack surface paths as Mermaid diagrams.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:04:14Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/diagramming-code", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/diagramming-code/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "visual", "diagramming", "code" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/dimensional-analysis", "name": "dimensional-analysis", "description": "Annotates codebases with dimensional analysis comments documenting units, dimensions, and decimal scaling. Use when someone asks to annotate units in a codebase, perform a dimensional analysis, or find vulnerabilities in a DeFi protocol, offchain code, or other blockchain-related codebase with arithmetic. Prevents dimensional mismatches and catches formula bugs early.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/dimensional-analysis/skills/dimensional-analysis", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/dimensional-analysis/skills/dimensional-analysis/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "analysis", "dimensional" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/dwarf-expert", "name": "dwarf-expert", "description": "Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/dwarf-expert/skills/dwarf-expert", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/dwarf-expert/skills/dwarf-expert/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "dwarf", "expert" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/entry-point-analyzer", "name": "entry-point-analyzer", "description": "Analyzes smart contract codebases to identify state-changing entry points for security auditing. Detects externally callable functions that modify state, categorizes them by access level (public, admin, role-restricted, contract-only), and generates structured audit reports. Excludes view/pure/read-only functions. Use when auditing smart contracts (Solidity, Vyper, Solana/Rust, Move, TON, CosmWasm) or when asked to find entry points, audit flows, external functions, access control patterns, or privileged operations.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/entry-point-analyzer/skills/entry-point-analyzer", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/entry-point-analyzer/skills/entry-point-analyzer/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "entry", "point", "analyzer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/firebase-apk-scanner", "name": "firebase-apk-scanner", "description": "Scans Android APKs for Firebase security misconfigurations including open databases, storage buckets, authentication issues, and exposed cloud functions. Use when analyzing APK files for Firebase vulnerabilities, performing mobile app security audits, or testing Firebase endpoint security. For authorized security research only.", "provider": "trailofbits", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/firebase-apk-scanner/skills/firebase-apk-scanner", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/firebase-apk-scanner/skills/firebase-apk-scanner/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "test", "firebase", "apk", "scanner" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/fp-check", "name": "fp-check", "description": "Systematically verifies suspected security bugs to eliminate false positives, producing a TRUE POSITIVE or FALSE POSITIVE verdict with documented evidence for each. Use when asked whether a specific finding is real, exploitable, or a false positive, or to verify or validate a suspected vulnerability \u2014 not for hunting or discovering new bugs.", "provider": "trailofbits", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-06-22T02:28:34Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/fp-check/skills/fp-check", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/fp-check/skills/fp-check/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "check" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 9, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/genotoxic", "name": "genotoxic", "description": "Graph-informed mutation testing triage. Parses codebases with Trailmark, runs mutation testing and necessist, then uses survived mutants, unnecessary test statements, and call graph data to identify false positives, missing test coverage, and fuzzing targets. Use when triaging survived mutants, analyzing mutation testing results, identifying test gaps, finding fuzzing targets from weak tests, running mutation frameworks (including circomvent and cairo-mutants), or using necessist.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:04:14Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/genotoxic", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/genotoxic/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "ci", "test", "genotoxic" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/gh-cli", "name": "gh-cli", "description": "Enforces authenticated gh CLI workflows over unauthenticated curl/WebFetch patterns. Use when working with GitHub URLs, API access, pull requests, or issues.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-05T16:18:09Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/gh-cli/skills/gh-cli", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/gh-cli/skills/gh-cli/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "github", "git", "api", "cli" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 25, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/graph-evolution", "name": "graph-evolution", "description": "Compares Trailmark code graphs at two source code snapshots (git commits, tags, or directories) to surface security-relevant structural changes. Detects new attack paths, complexity shifts, blast radius growth, taint propagation changes, and privilege boundary modifications that text diffs miss. Use when comparing code between commits or tags, analyzing structural evolution, detecting attack surface growth, reviewing what changed between audit snapshots, or finding security-relevant changes that text diffs miss.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:04:14Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/graph-evolution", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/graph-evolution/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "git", "pr", "graph", "evolution" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/insecure-defaults", "name": "insecure-defaults", "description": "Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.", "provider": "trailofbits", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/insecure-defaults/skills/insecure-defaults", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/insecure-defaults/skills/insecure-defaults/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "insecure", "defaults" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/interpreting-culture-index", "name": "interpreting-culture-index", "description": "Interprets Culture Index (CI) surveys, behavioral profiles, and personality assessment data. Supports individual profile interpretation, team composition analysis (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Accepts extracted JSON or PDF input via OpenCV extraction script.", "provider": "trailofbits", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/culture-index/skills/interpreting-culture-index", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/culture-index/skills/interpreting-culture-index/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pdf", "json", "pr", "ci", "extract", "analysis", "interpreting", "culture", "index" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/let-fate-decide", "name": "let-fate-decide", "description": "Draws the 12 Houses of the Zodiac Tarot spread to inject entropy into planning when prompts are vague, ambiguous, or casually delegated. Interprets the spread to guide next steps. Use when the user says 'let fate decide', 'YOLO', 'whatever', 'idk', or other nonchalant phrases, makes Yu-Gi-Oh references, or when you are about to arbitrarily pick between multiple reasonable approaches. Prefer over ask-questions-if-underspecified when the user's tone is casual or playful rather than precision-seeking.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-27T19:31:44Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/let-fate-decide/skills/let-fate-decide", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/let-fate-decide/skills/let-fate-decide/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "let", "fate", "decide" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 34, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/mermaid-to-proverif", "name": "mermaid-to-proverif", "description": "Translates Mermaid sequenceDiagrams describing cryptographic protocols into ProVerif formal verification models (.pv files). 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Use when creating projects, writing standalone scripts, or migrating from pip/Poetry/mypy/black.", "provider": "trailofbits", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-01-29T06:40:59Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/modern-python/skills/modern-python", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/modern-python/skills/modern-python/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "modern", "python" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 153, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/mutation-testing", "name": "mutation-testing", "description": "Configures mewt or muton mutation testing campaigns \u2014 scopes targets, tunes timeouts, and optimizes long-running runs. Use when the user mentions mewt, muton, mutation testing, or wants to configure or optimize a mutation testing campaign.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/mutation-testing/skills/mutation-testing", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/mutation-testing/skills/mutation-testing/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "test", "mutation", "testing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/property-based-testing", "name": "property-based-testing", "description": "Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-11T16:39:47Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/property-based-testing/skills/property-based-testing", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/property-based-testing/skills/property-based-testing/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "test", "design", "art", "property", "based", "testing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 139, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/second-opinion", "name": "second-opinion", "description": "Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T19:41:40Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/second-opinion/skills/second-opinion", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/second-opinion/skills/second-opinion/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "ci", "cli", "second", "opinion" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 20, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/semgrep", "name": "semgrep", "description": "Run Semgrep static analysis scan on a codebase using parallel subagents. Supports two scan modes \u2014 \"run all\" (full ruleset coverage) and \"important only\" (high-confidence security vulnerabilities). Automatically detects and uses Semgrep Pro for cross-file taint analysis when available. Use when asked to scan code for vulnerabilities, run a security audit with Semgrep, find bugs, or perform static analysis. Spawns parallel workers for multi-language codebases.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/static-analysis/skills/semgrep", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/static-analysis/skills/semgrep/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "analysis", "semgrep" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/semgrep-rule-creator", "name": "semgrep-rule-creator", "description": "Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-10T19:34:58Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/semgrep-rule-creator/skills/semgrep-rule-creator", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/semgrep-rule-creator/skills/semgrep-rule-creator/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "analysis", "semgrep", "rule", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 20, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/semgrep-rule-variant-creator", "name": "semgrep-rule-variant-creator", "description": "Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/semgrep-rule-variant-creator/skills/semgrep-rule-variant-creator", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/semgrep-rule-variant-creator/skills/semgrep-rule-variant-creator/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "semgrep", "rule", "variant", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/sharp-edges", "name": "sharp-edges", "description": "Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. Use when reviewing API designs, configuration schemas, cryptographic library ergonomics, or evaluating whether code follows 'secure by default' and 'pit of success' principles. Triggers: footgun, misuse-resistant, secure defaults, API usability, dangerous configuration.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:10:55Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/sharp-edges/skills/sharp-edges", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/sharp-edges/skills/sharp-edges/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "api", "design", "sharp", "edges" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/trailmark", "name": "trailmark", "description": "Builds and queries multi-language source code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, and entry point enumeration. Use when analyzing call paths, mapping attack surface, finding complexity hotspots, enumerating entry points, tracing taint propagation, measuring blast radius, or building a code graph for audit prioritization. Prefer `trailmark.parse.detect_languages()` or `--language auto` when the target language is unknown or polyglot.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-29T01:04:14Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/trailmark", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/trailmark/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "analysis", "trailmark" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/vector-forge", "name": "vector-forge", "description": "Mutation-driven test vector generation. Finds implementations of a cryptographic algorithm or protocol, runs mutation testing to identify escaped mutants, then generates new test vectors that deliberately exercise the uncovered code paths. Compares before/after mutation kill rates to prove vector effectiveness. Use when generating cryptographic test vectors, measuring Wycheproof coverage gaps, finding escaped mutants via mutation testing, creating cross-implementation test suites, or improving test vector coverage for crypto primitives.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-31T21:31:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/trailmark/skills/vector-forge", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/trailmark/skills/vector-forge/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "vector", "forge" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/yara-rule-authoring", "name": "yara-rule-authoring", "description": "Guides authoring of high-quality YARA-X detection rules for malware identification. Use when writing, reviewing, or optimizing YARA rules. Covers naming conventions, string selection, performance optimization, migration from legacy YARA, and false positive reduction. Triggers on: YARA, YARA-X, malware detection, threat hunting, IOC, signature, crx module, dex module.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-01-30T23:53:29Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/yara-authoring/skills/yara-rule-authoring", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/yara-authoring/skills/yara-rule-authoring/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "yara", "rule", "authoring" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 151, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "trailofbits/zeroize-audit", "name": "zeroize-audit", "description": "Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.", "provider": "trailofbits", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-28T23:50:30Z", "metadata": {}, "source": { "repo": "https://github.com/trailofbits/skills", "path": "plugins/zeroize-audit/skills/zeroize-audit", "skill_md_url": "https://raw.githubusercontent.com/trailofbits/skills/main/plugins/zeroize-audit/skills/zeroize-audit/SKILL.md", "commit_sha": "cfe5d7b1619e47fb5b38b7e2561dad7e5f1e89af" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "analysis", "zeroize", "audit" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 63, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 5948 }, { "id": "openai/aspnet-core", "name": "aspnet-core", "description": "Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-04T17:20:21Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/aspnet-core", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/aspnet-core/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "ci", "test", "api", "aspnet", "core" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 111, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/chatgpt-apps", "name": "chatgpt-apps", "description": "Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-02T18:22:37Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/chatgpt-apps", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/chatgpt-apps/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "api", "mcp", "design", "chatgpt", "apps" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 113, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/cli-creator", "name": "cli-creator", "description": "Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth, and pair with a companion skill.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-10T18:02:02Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/cli-creator", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/cli-creator/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "api", "cli", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 74, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/cloudflare-deploy", "name": "cloudflare-deploy", "description": "Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.", "provider": "openai", "category": "devops", "license": null, "compatibility": null, "last_updated_at": "2026-02-02T20:20:40Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/cloudflare-deploy", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/cloudflare-deploy/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "cloudflare", "deploy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 141, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/figma", "name": "figma", "description": "Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-01T17:05:37Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "mcp", "design", "figma" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 142, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/figma-code-connect-components", "name": "figma-code-connect-components", "description": "Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.", "provider": "openai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-code-connect-components", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-code-connect-components/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "design", "figma", "code", "connect", "components" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/figma-create-design-system-rules", "name": "figma-create-design-system-rules", "description": "Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-create-design-system-rules", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-create-design-system-rules/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "mcp", "design", "figma", "create", "system", "rules" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/figma-create-new-file", "name": "figma-create-new-file", "description": "Create a new blank Figma file. Use when the user wants to create a new Figma design or FigJam file, or when you need a new file before calling use_figma. Handles plan resolution via whoami if needed. Usage \u2014 /figma-create-new-file [editorType] [fileName] (e.g. /figma-create-new-file figjam My Whiteboard)", "provider": "openai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-create-new-file", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-create-new-file/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "design", "figma", "create", "new", "file" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/figma-generate-design", "name": "figma-generate-design", "description": "Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code'. This is the preferred workflow skill whenever the user wants to build or update a full page, screen, or view in Figma from code or a description. Discovers design system components, variables, and styles via search_design_system, imports them, and assembles screens incrementally section-by-section using design system tokens instead of hardcoded values.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-generate-design", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-generate-design/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "design", "figma", "generate" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/figma-generate-library", "name": "figma-generate-library", "description": "Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, set up theming (light/dark modes), document foundations, or reconcile gaps between code and Figma. This skill teaches WHAT to build and in WHAT ORDER \u2014 it complements the `figma-use` skill which teaches HOW to call the Plugin API. Both skills should be loaded together.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-generate-library", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-generate-library/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "api", "design", "document", "figma", "generate", "library" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/figma-implement-design", "name": "figma-implement-design", "description": "Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.", "provider": "openai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-implement-design", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-implement-design/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "design", "visual", "figma", "implement" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/figma-use", "name": "figma-use", "description": "**MANDATORY prerequisite** \u2014 you MUST invoke this skill BEFORE every `use_figma` tool call. NEVER call `use_figma` directly without loading this skill first. Skipping it causes common, hard-to-debug failures. Trigger whenever the user wants to perform a write action or a unique read action that requires JavaScript execution in the Figma file context \u2014 e.g. create/edit/delete nodes, set up variables or tokens, build components and variants, modify auto-layout or fills, bind variables to properties, or inspect file structure programmatically.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-24T14:48:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/figma-use", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/figma-use/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "figma", "use" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 91, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/gh-fix-ci", "name": "gh-fix-ci", "description": "Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-01-30T18:34:32Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/gh-fix-ci", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/gh-fix-ci/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": false, "has_assets": true, "tags": [ "github", "git", "pr", "ci", "fix" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 144, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/hatch-pet", "name": "hatch-pet", "description": "Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.", "provider": "openai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-12T22:24:22Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/hatch-pet", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/hatch-pet/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "art", "brand", "visual", "hatch", "pet" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 42, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/imagegen", "name": "imagegen", "description": "Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.", "provider": "openai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-04-15T03:43:27Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.system/imagegen", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.system/imagegen/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "brand", "visual", "imagegen" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 70, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/jupyter-notebook", "name": "jupyter-notebook", "description": "Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.", "provider": "openai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-01-31T18:14:20Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/jupyter-notebook", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/jupyter-notebook/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "jupyter", "notebook" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 143, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/linear", "name": "linear", "description": "Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.", "provider": "openai", "category": "other", "license": null, "compatibility": null, "last_updated_at": "2026-01-31T22:21:03Z", "metadata": { "short-description": "Manage Linear issues in Codex" }, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/linear", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/linear/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "linear" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 143, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/migrate-to-codex", "name": "migrate-to-codex", "description": "Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-01T14:34:51Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/migrate-to-codex", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/migrate-to-codex/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "mcp", "migrate", "codex" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 53, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 22795 }, { "id": "openai/netlify-deploy", "name": "netlify-deploy", "description": "Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-02-02T20:20:40Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/netlify-deploy", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/netlify-deploy/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "cli", "netlify", "deploy" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 141, "maintenance_status": "maintained", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/openai-docs", "name": "openai-docs", "description": "Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-17T19:15:37Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/openai-docs", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/openai-docs/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "api", "mcp", "document", "knowledge", "openai", "docs" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 6, "maintenance_status": "active", "quality_score": 100, "skill_type": "full", "requires_mcp": true, "github_stars": 22795, "similar_skills": [ { "id": "openai/openai-docs", "provider": "openai", "similarity": 1.0 } ] }, { "id": "openai/openai-docs", "name": "openai-docs", "description": "Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-17T19:15:37Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.system/openai-docs", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.system/openai-docs/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "test", "api", "mcp", "document", "knowledge", "openai", "docs" ], "duplicate_status": "mirror", "duplicate_annotation": "Complete mirror of openai/openai-docs", "duplicate_of": "openai/openai-docs", "duplicate_similarity": 1.0, "days_since_update": 6, "maintenance_status": "active", "quality_score": 100, "skill_type": "full", "requires_mcp": true, "github_stars": 22795, "similar_skills": [ { "id": "openai/openai-docs", "provider": "openai", "similarity": 1.0 } ] }, { "id": "openai/pdf", "name": "pdf", "description": "Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.", "provider": "openai", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2026-01-30T18:34:32Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/pdf", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/pdf/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pdf", "pr", "visual", "extract" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 144, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/playwright", "name": "playwright", "description": "Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script.", "provider": "openai", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-02-06T18:01:32Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/playwright", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/playwright/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": true, "has_references": true, "has_assets": true, "tags": [ "cli", "extract", "playwright" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 137, "maintenance_status": "maintained", "quality_score": 90, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/playwright-interactive", "name": "playwright-interactive", "description": "Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.", "provider": "openai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-03-11T23:54:05Z", "metadata": {}, "source": { "repo": "https://github.com/openai/skills", "path": "skills/.curated/playwright-interactive", "skill_md_url": "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/playwright-interactive/SKILL.md", "commit_sha": "49f948faa9258a0c61caceaf225e179651397431" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "playwright", "interactive" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 104, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 22795 }, { "id": "openai/plugin-creator", "name": "plugin-creator", "description": "Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. 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Use when implementing world anchors, device pose queries, surface placement, mesh reconstruction, room context, or shared coordinate spaces.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/arkit-spatial-tracking-providers", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/arkit-spatial-tracking-providers/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": false, "has_assets": true, "tags": [ "pr", "arkit", "spatial", "tracking", "providers" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/arkit-visionos-developer", "name": "arkit-visionos-developer", "description": "Router for ARKit features on visionOS 27, including ARKitSession setup, authorization, provider selection, anchor processing, and RealityKit integration. Use when choosing an ARKit provider set, combining multiple ARKit providers, or troubleshooting shared ARKit lifecycle behavior before routing to focused provider skills.", "provider": "visionos-agents", "category": "security", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/arkit-visionos-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/arkit-visionos-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "arkit", "visionos", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/coding-standards-enforcer", "name": "coding-standards-enforcer", "description": "Enforce repository coding standards for Swift 6.2 strict concurrency, actor isolation, @Observable models, SWIFT_APPROACHABLE_CONCURRENCY, @concurrent functions, and modern Swift APIs across visionOS app code. Use when reviewing, writing, or migrating Swift code in this plugin's scope.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-04T19:05:32Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/coding-standards-enforcer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/coding-standards-enforcer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "api", "coding", "standards", "enforcer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 15, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/realitykit-animation-physics", "name": "realitykit-animation-physics", "description": "Implement and debug RealityKit animation, character controllers, skeletal poses, IK, body tracking, blendshapes, animation graphs, retargeting, root motion, navigation, behavior trees, collision, physics bodies, joints, forces, particles, compute simulations, and cloth on visionOS 27. Use when a RealityKit task is primarily about motion, character behavior, physical simulation, hit-test collision shape details, particle simulation, or animation/physics troubleshooting.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/realitykit-animation-physics", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/realitykit-animation-physics/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "test", "art", "realitykit", "animation", "physics" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/realitykit-audio-spatial", "name": "realitykit-audio-spatial", "description": "Implement and debug RealityKit spatial audio, ambient audio, channel audio, audio libraries, audio mix groups, reverb, grouped playback, and acoustic simulation on visionOS 27. Use when a RealityKit task is primarily about placing sound in 3D, loading or organizing audio resources, controlling channel or ambient playback, mixing groups, room acoustics, or audio behavior tied to RealityKit entities.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/realitykit-audio-spatial", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/realitykit-audio-spatial/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "realitykit", "audio", "spatial" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/realitykit-ecs-systems", "name": "realitykit-ecs-systems", "description": "Design, implement, and debug custom RealityKit components, systems, ECS queries, component registration, update loops, Codable component state, and per-frame multi-entity behavior on visionOS. Use when documented RealityKit components do not represent the needed state or behavior, when behavior spans multiple entities, or when a task needs custom System and Component architecture instead of SwiftUI view logic.", "provider": "visionos-agents", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/realitykit-ecs-systems", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/realitykit-ecs-systems/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "document", "realitykit", "ecs", "systems" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/realitykit-rendering-materials", "name": "realitykit-rendering-materials", "description": "Implement and debug RealityKit rendering, materials, lighting, cameras, visual effects, post-processing, render cost controls, Gaussian splats, decals, lightmaps, probes, LOD, and occlusion on visionOS 27. Use when a RealityKit task is primarily about visual appearance, mesh/material display, lights, shadows, tone mapping, bloom, camera projection, rendering performance, or choosing rendering components instead of animation, audio, interaction, or custom ECS behavior.", "provider": "visionos-agents", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/realitykit-rendering-materials", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/realitykit-rendering-materials/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "visual", "realitykit", "rendering", "materials" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/realitykit-visionos-developer", "name": "realitykit-visionos-developer", "description": "Route RealityKit work on visionOS 27 and handle core entity/component basics, RealityView scene setup, asset loading, input targets, SwiftUI attachments, anchoring, portals, synchronization, and USDStage bridge usage. Use for general RealityKit triage, choosing documented components, loading Reality Composer Pro, USD, USDZ, or .reality content, and deciding whether to hand off to realitykit-rendering-materials, realitykit-animation-physics, realitykit-audio-spatial, realitykit-ecs-systems, spatial-preview-developer, usdkit-runtime-developer, usd-editor, shadergraph-editor, ARKit, SwiftUI, or build-debug skills.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/realitykit-visionos-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/realitykit-visionos-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "realitykit", "visionos", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/shadergraph-editor", "name": "shadergraph-editor", "description": "Author, load, and troubleshoot Reality Composer Pro Shader Graph materials for RealityKit on visionOS. Use when building Shader Graph materials, exposing promoted inputs for runtime control, debugging exported USD and MaterialX interop, or building shader graphs programmatically in Swift on visionOS 27.", "provider": "visionos-agents", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/shadergraph-editor", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/shadergraph-editor/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "shadergraph", "editor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/shareplay-developer", "name": "shareplay-developer", "description": "Build, integrate, and troubleshoot SharePlay GroupActivities features for visionOS 27, including GroupActivity definitions, activation flows, GroupSession lifecycle, messaging and journals, ShareLink and SharePlay UI surfaces, and spatial coordination.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/shareplay-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/shareplay-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "shareplay", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/spatial-swiftui-developer", "name": "spatial-swiftui-developer", "description": "Design and implement visionOS 27 SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with RealityView, Model3D, attachments, volumetric windows, ImmersiveSpace, spatial gestures, windowing, spatial layout, or when choosing SwiftUI vs RealityKit APIs for 3D presentation.", "provider": "visionos-agents", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/spatial-swiftui-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/spatial-swiftui-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "api", "design", "spatial", "swiftui", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/swiftui-chart3d-developer", "name": "swiftui-chart3d-developer", "description": "Build SwiftUI Chart3D and Swift Charts 3D visualizations for visionOS 27 and Apple platforms. Use when implementing Chart3D, SurfacePlot, 3D PointMark, RuleMark, RectangleMark, Chart3DPose, 3D chart scales, axis labels, camera projection, or spatial data-visualization interactions.", "provider": "visionos-agents", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/swiftui-chart3d-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/swiftui-chart3d-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "visual", "swiftui", "chart3d", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/usd-editor", "name": "usd-editor", "description": "Guide for modifying USD ASCII (.usda) files and command-line USD workflows, including prims, properties, composition arcs, variants, transforms, usdcat, usdchecker, usdrecord, usdtree, usdzip, and usdedit. Use when editing or reviewing .usda files by hand, validating USD/USDZ assets, or working in an asset pipeline outside runtime Swift USDKit.", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/usd-editor", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/usd-editor/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "usd", "editor" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/usdkit-runtime-developer", "name": "usdkit-runtime-developer", "description": "Build USDKit runtime editing flows on visionOS 27, macOS 27, or iOS 27. Use when Swift code imports USDKit, opens or creates USDStage and USDLayer values, edits USDPrim attributes, observes USDStage.ObjectsDidChange, exports runtime USD packages, or bridges live stages through RealityKit USDStageComponent.", "provider": "visionos-agents", "category": "mobile", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/usdkit-runtime-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/usdkit-runtime-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "usdkit", "runtime", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/visionos-immersive-media-developer", "name": "visionos-immersive-media-developer", "description": "Implement immersive and spatial video experiences on Apple Vision Pro (visionOS 27), including AVKit AVExperienceController, RealityKit VideoPlayerComponent setup, Apple Projected Media Profile (APMP), portal/progressive/full immersive viewing modes, transitions and events, comfort mitigation, and Apple Immersive Video authoring workflows.", "provider": "visionos-agents", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-06-20T00:27:15Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/visionos-immersive-media-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/visionos-immersive-media-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "visionos", "immersive", "media", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "visionos-agents/visionos-widgetkit-developer", "name": "visionos-widgetkit-developer", "description": "Build and debug WidgetKit widgets for Apple Vision Pro (visionOS), including mounting styles (elevated/recessed), textures (glass/paper), proximity-aware layouts via LevelOfDetail, interactive widgets with AppIntents, widget rendering modes (accented/fullColor), and timeline update troubleshooting. (visionOS widgets are pinned spatial objects, not watch complications.)", "provider": "visionos-agents", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-04T19:05:32Z", "metadata": {}, "source": { "repo": "https://github.com/tomkrikorian/visionOSAgents", "path": "skills/visionos-widgetkit-developer", "skill_md_url": "https://raw.githubusercontent.com/tomkrikorian/visionOSAgents/main/skills/visionos-widgetkit-developer/SKILL.md", "commit_sha": "c359c3a99ffe9ad9a46f1de2d4fbb7f16d4db2dc" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "visionos", "widgetkit", "developer" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 15, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 56 }, { "id": "ios-simulator-skill/ios-simulator-skill", "name": "ios-simulator-skill", "description": "29 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents with minimal token output.", "provider": "ios-simulator-skill", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-14T21:23:51Z", "metadata": {}, "source": { "repo": "https://github.com/conorluddy/ios-simulator-skill", "path": "ios-simulator-skill/skills/ios-simulator-skill", "skill_md_url": "https://raw.githubusercontent.com/conorluddy/ios-simulator-skill/main/ios-simulator-skill/skills/ios-simulator-skill/SKILL.md", "commit_sha": "e0ee87a884b438632238ef8ab42139797f8638a8" }, "has_scripts": true, "has_references": false, "has_assets": false, "tags": [ "pr", "test", "ios", "simulator", "skill" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 4, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 1090 }, { "id": "tinybird/tinybird", "name": "tinybird", "description": "Tinybird file formats, SQL rules, optimization patterns, and best practices for datasources, pipes, endpoints, and materialized views.", "provider": "tinybird", "category": "data", "license": null, "compatibility": null, "last_updated_at": "2026-06-17T10:56:12Z", "metadata": {}, "source": { "repo": "https://github.com/tinybirdco/tinybird-agent-skills", "path": "skills/tinybird-best-practices", "skill_md_url": "https://raw.githubusercontent.com/tinybirdco/tinybird-agent-skills/main/skills/tinybird-best-practices/SKILL.md", "commit_sha": "960fb7516723d7ac4dac00522a36825de9e906cd" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "tinybird" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 0, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 20 }, { "id": "aws-skills/aws-agentic-ai", "name": "aws-agentic-ai", "description": "AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.", "provider": "aws-skills", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-04-13T10:40:24Z", "metadata": {}, "source": { "repo": "https://github.com/zxkane/aws-skills", "path": "plugins/aws-agentic-ai/skills/aws-agentic-ai", "skill_md_url": "https://raw.githubusercontent.com/zxkane/aws-skills/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/SKILL.md", "commit_sha": "68530c6f296ccd2f5e99c79782f3e0fbf962c51a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "mcp", "aws", "agentic" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 64, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": true, "github_stars": 309 }, { "id": "aws-skills/aws-cdk-development", "name": "aws-cdk-development", "description": "AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.", "provider": "aws-skills", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-06-15T11:04:42Z", "metadata": {}, "source": { "repo": "https://github.com/zxkane/aws-skills", "path": "plugins/aws-iac/skills/aws-cdk-development", "skill_md_url": "https://raw.githubusercontent.com/zxkane/aws-skills/main/plugins/aws-iac/skills/aws-cdk-development/SKILL.md", "commit_sha": "68530c6f296ccd2f5e99c79782f3e0fbf962c51a" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "cd", "aws", "cdk", "development" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": true, "github_stars": 309 }, { "id": "aws-skills/aws-sst-development", "name": "aws-sst-development", "description": "SST v4 (Ion) expert for managing AWS resources as code with the Pulumi-backed framework. Use when writing or editing sst.config.ts, building infra/ modules (sst.aws.Function/Bucket/Dynamo/Cron/Service/Router, sst.Secret, sst.Linkable, raw aws.* Pulumi resources), wiring resource links, scoping IAM, or running sst deploy/dev/diff/remove. Essential when the user mentions SST, sst.config.ts, $config, $transform, $interpolate, sst.aws.*, sst.Secret, Pulumi/Ion, \"sst deploy\", a failed SST deploy (ConflictException on a resource-type change, \"Identifier '__filename' has already been declared\", MalformedPolicyDocument on an Output), or wants to scaffold/troubleshoot AWS infrastructure with SST. Also use when a request to \"deploy my AWS stack\" or \"add a Lambda/bucket/table\" is made in a repo that already contains an sst.config.ts (using $config) or an sst dependency. Do NOT use when the task is primarily AWS CDK, Terraform, raw CloudFormation, or SAM with no SST present \u2014 those have their own tooling.", "provider": "aws-skills", "category": "cloud", "license": null, "compatibility": null, "last_updated_at": "2026-06-15T11:04:42Z", "metadata": {}, "source": { "repo": "https://github.com/zxkane/aws-skills", "path": "plugins/aws-iac/skills/aws-sst-development", "skill_md_url": "https://raw.githubusercontent.com/zxkane/aws-skills/main/plugins/aws-iac/skills/aws-sst-development/SKILL.md", "commit_sha": "68530c6f296ccd2f5e99c79782f3e0fbf962c51a" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "cd", "document", "aws", "sst", "development" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 1, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 309 }, { "id": "emblemcompany/emblem-ai-agent-wallet", "name": "emblem-ai-agent-wallet", "description": "Connect to EmblemVault and manage wallet-aware workflows via EmblemAI with review-first, operator-controlled actions. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Also use when the user needs Emblem's auth model explained: one browser auth flow can log a user in with wallets, email/password, or social sign-in, while agent mode can auto-provision a profile-scoped wallet with no manual setup.", "provider": "emblemcompany", "category": "development", "license": "MIT", "compatibility": "Requires Node.js >= 18.0.0, @emblemvault/agentwallet CLI, and internet access. Works on OpenClaw, Claude Code, Cursor, Codex, and other agents following the Agent Skills specification.", "last_updated_at": "2026-04-20T07:30:36Z", "metadata": { "author": "EmblemAI", "version": "3.1.3", "homepage": "https://emblemvault.ai", "docs": "https://emblemvault.ai/docs", "docs-interactive": "https://emblemvault.dev", "openclaw": "{\"emoji\":\"\ud83d\udee1\ufe0f\",\"requires\":{\"bins\":[\"node\",\"npm\",\"emblemai\"]},\"config_paths\":[\"~/.emblemai/active-profile\",\"~/.emblemai/profiles/\"],\"install\":[{\"id\":\"npm\",\"kind\":\"npm\",\"package\":\"@emblemvault/agentwallet\",\"bins\":[\"emblemai\"],\"label\":\"Install Agent Wallet CLI\"}]}" }, "source": { "repo": "https://github.com/EmblemCompany/Agent-skills", "path": "skills/emblem-ai-agent-wallet", "skill_md_url": "https://raw.githubusercontent.com/EmblemCompany/Agent-skills/main/skills/emblem-ai-agent-wallet/SKILL.md", "commit_sha": "9a68a35c4d61a8b6fe673fa98c39e4b9dd9d2cd3" }, "has_scripts": true, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "email", "emblem", "agent", "wallet" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 31, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 10 }, { "id": "fal-ai/character-design", "name": "character-design", "description": "Build consistent character designs and character media with genmedia. Use this for original characters, reference sheets, expression sheets, outfit variations, identity-preserving edits, and character-to-video workflows.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/character-design", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/character-design/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "design", "character" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/cinematography", "name": "cinematography", "description": "Design cinematic image and video prompts for genmedia. Use this for shot language, camera movement, lighting, lens choices, color grade, film texture, scene blocking, and production-ready visual direction.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/cinematography", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/cinematography/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "visual", "cinematography" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/commercial", "name": "commercial", "description": "Plan and run commercial image or video production with genmedia. Use this for product photography, ads, e-commerce batches, product reveals, lifestyle commercials, background replacement, social formats, and brand-safe prompt work.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/commercial", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/commercial/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "brand", "commercial" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fal-gamedev", "name": "fal-gamedev", "description": "Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for \"pixel art character\", \"sprite sheet\", \"walk cycle\", \"game sprites\", \"isometric sprites\", \"side-scroller assets\", \"RPG character sprites\", \"idle animation\", \"attack animation\", \"jump animation\", \"game background\", \"parallax background\", \"isometric map\", \"2D game art\", \"pixel art animation\". Covers character generation (nano-banana-pro / gpt-image-2), sprite sheet animation (nano/edit or gpt-image-2/edit), background removal (Bria), and background generation (parallax layers or isometric map).\n", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": { "author": "fal-ai-community", "version": "0.1.0" }, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fal-gamedev", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fal-gamedev/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "art", "fal", "gamedev" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fal-models-catalog", "name": "fal-models-catalog", "description": "Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks \"which model for X\", \"best endpoint for Y\", \"what should I use for Z\".", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fal-models-catalog", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fal-models-catalog/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "fal", "models", "catalog" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fal-prompting", "name": "fal-prompting", "description": "Model-family-specific prompt craft for fal.ai endpoints. Trigger when the user mentions a specific model family by name and asks how to prompt it (\"how do I prompt Kling\", \"GPT Image 2 prompt structure\", \"Happy Horse tips\"), or when prompts to a routed endpoint keep coming back generic and the family's known nuances should be applied. For endpoint selection (\"which model for X\"), use `fal-models-catalog` instead. This skill is about how to talk to a model once it has been chosen.", "provider": "fal-ai", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fal-prompting", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fal-prompting/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "fal", "prompting" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fal-recipes", "name": "fal-recipes", "description": "Use-case-driven multi-step pipelines on fal.ai. Trigger when the user asks for a specific kind of content production rather than a single endpoint call: \"make a commercial\", \"ad creative\", \"product photography\", \"cinematic shot\", \"film look\", \"character design\", \"consistent character\", \"anchor system\", \"storyboard\", \"multi-shot\", \"narrative video\", \"talking head\", \"lip sync\", \"make this person talk\", \"virtual try-on\", \"garment transfer\", \"restore image\", \"deblur\", \"denoise\", \"fix face\", \"old photo restore\", \"add audio to video\", \"video sound effects\", \"product shot\", \"photoreal\", \"realistic photo\", \"candid photo\", \"editorial portrait\", \"documentary photo\", \"looks like a real photograph\", \"iPhone-style photo\", \"film photo\", \"archival photo\". Each recipe describes inputs, the genmedia call sequence, and quality checks.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fal-recipes", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fal-recipes/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "design", "document", "fal", "recipes" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fal-redesign", "name": "fal-redesign", "description": "Upgrade a coded website to award-tier, editorially-crafted design using fal.ai. Takes a local HTML file or a dev-server URL, screenshots it, has an opus-4.7 vision model write a gpt-image-2 edit prompt, uses fal-ai/gpt-image-2/edit to produce the redesigned reference image, then opus-4.7 vision writes a Markdown build-spec with a \"Hard constraints\" section + a tokens.json. Also supports iterate (screenshot implemented site \u2192 delta-spec vs reference) and greenfield generate (brief \u2192 mockup \u2192 single-file HTML). Invoke when the user says \"improve the design\", \"make it world-class\", \"redesign this landing page\", \"upgrade this site\", \"design pass\", or points at a local HTML / dev server for a visual review.", "provider": "fal-ai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": { "author": "fal-ai-community", "version": "0.1.0" }, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fal-redesign", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fal-redesign/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "json", "pr", "design", "visual", "fal", "redesign" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fal-regenerate-3d", "name": "fal-regenerate-3d", "description": "Build a fully-interactive 3D character-selector experience powered entirely by fal.ai. Generates stylized characters (FLUX.2 / GPT-Image-2), rigged animated GLBs (Meshy v6), themed companion creatures, per-character PATINA floor textures, looped Seedance video backgrounds, and a Three.js scene with palette swaps, breathing reflections, transition effects and a CREATE-YOUR-OWN flow.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fal-regenerate-3d", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fal-regenerate-3d/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "fal", "regenerate" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/fan-cam", "name": "fan-cam", "description": "Create personalized live sports broadcast fan-cam videos with genmedia. Use this for realistic spectator cutaways, stadium or arena crowd reactions, broadcast screenshots, sports TV shots, scoreboard overlays, TV channel bugs, and identity-preserving fan reaction videos from a user photo.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-13T14:45:02Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/fan-cam", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/fan-cam/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "fan", "cam" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 7, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/genmedia", "name": "genmedia", "description": "Use the genmedia CLI to search, inspect, run, and manage 1200+ fal.ai model endpoints. Trigger when the user mentions \"genmedia\", \"fal CLI\", or asks to \"search models\", \"run a model\", \"fetch schema\", \"check pricing\", \"upload to fal\", \"queue async job\", \"track request\", or any direct interaction with the fal.ai endpoint catalog. This is the foundational skill. Every other fal.ai-related skill in this repo executes its work through genmedia commands. Use `--json` whenever the output will be parsed by an agent.", "provider": "fal-ai", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-08T01:40:12Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/genmedia", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/genmedia/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "json", "pr", "ci", "cli", "genmedia" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 13, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/genmedia-workflow", "name": "genmedia-workflow", "description": "Design and execute multi-step media workflows with genmedia. Use this for pipelines that combine planning, generation, editing, image or video utilities, audio, subtitles, batching, and final delivery manifests.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/genmedia-workflow", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/genmedia-workflow/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "design", "genmedia", "workflow" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/marketing", "name": "marketing", "description": "Plan and run campaign-level marketing asset production with genmedia. Use this for launch kits, campaign matrices, paid social variants, landing-page visuals, email and banner imagery, hook/proof/conversion assets, creator ad packages, and channel-specific marketing deliverables.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-07T18:30:33Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/marketing", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/marketing/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "visual", "email", "marketing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 13, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/model-routing", "name": "model-routing", "description": "Choose default fal.ai endpoint IDs for genmedia production skills. Use this with commercial, marketing, ugc, character-design, cinematography, storytelling, and workflow when the user has not named a specific model.", "provider": "fal-ai", "category": "ml-ai", "license": null, "compatibility": null, "last_updated_at": "2026-05-07T18:30:33Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/model-routing", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/model-routing/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": false, "has_assets": false, "tags": [ "pr", "ci", "design", "model", "routing" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 13, "maintenance_status": "active", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/storytelling", "name": "storytelling", "description": "Build multi-shot narrative image, video, and audio workflows with genmedia. Use this for storyboards, shot lists, multi-prompt video, first-frame to last-frame pipelines, social stories, brand films, and sequence continuity.", "provider": "fal-ai", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2026-05-04T03:51:14Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/storytelling", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/storytelling/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "brand", "storytelling" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 17, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "fal-ai/ugc", "name": "ugc", "description": "Plan and run UGC-style creator ads and social proof videos with genmedia. Use this for direct-to-camera creator scripts, talking-head ads, product demos, testimonials, founder clips, unboxing, reaction, before-after, faceless voiceover, and short vertical social videos.", "provider": "fal-ai", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2026-05-07T18:30:33Z", "metadata": {}, "source": { "repo": "https://github.com/fal-ai-community/skills", "path": "skills/ugc", "skill_md_url": "https://raw.githubusercontent.com/fal-ai-community/skills/main/skills/ugc/SKILL.md", "commit_sha": "9ca850412943251fc9a466c4c29fdaf7a303a3d8" }, "has_scripts": false, "has_references": true, "has_assets": false, "tags": [ "pr", "ci", "test", "cli", "ugc" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 13, "maintenance_status": "active", "quality_score": 80, "skill_type": "full", "requires_mcp": false, "github_stars": 186 }, { "id": "claude-marketplace-visual/architecture-diagram-creator", "name": "architecture-diagram-creator", "description": "Create comprehensive HTML architecture diagrams showing data flows, business objectives, features, technical architecture, and deployment. Use when users request system architecture, project documentation, high-level overviews, or technical specifications.", "provider": "claude-marketplace-visual", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2025-11-10T13:41:28Z", "metadata": {}, "source": { "repo": "https://github.com/mhattingpete/claude-skills-marketplace", "path": "visual-documentation-plugin/skills/architecture-diagram-creator", "skill_md_url": "https://raw.githubusercontent.com/mhattingpete/claude-skills-marketplace/main/visual-documentation-plugin/skills/architecture-diagram-creator/SKILL.md", "commit_sha": "3fa16a94e0aba3509e4d4b318ca175d3191b5b7d" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "document", "architecture", "diagram", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 116, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 441 }, { "id": "claude-marketplace-visual/dashboard-creator", "name": "dashboard-creator", "description": "Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.", "provider": "claude-marketplace-visual", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2025-11-10T13:41:28Z", "metadata": {}, "source": { "repo": "https://github.com/mhattingpete/claude-skills-marketplace", "path": "visual-documentation-plugin/skills/dashboard-creator", "skill_md_url": "https://raw.githubusercontent.com/mhattingpete/claude-skills-marketplace/main/visual-documentation-plugin/skills/dashboard-creator/SKILL.md", "commit_sha": "3fa16a94e0aba3509e4d4b318ca175d3191b5b7d" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "visual", "dashboard", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 116, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 441 }, { "id": "claude-marketplace-visual/flowchart-creator", "name": "flowchart-creator", "description": "Create HTML flowcharts and process diagrams with decision trees, color-coded stages, arrows, and swimlanes. Use when users request flowcharts, process diagrams, workflow visualizations, or decision trees.", "provider": "claude-marketplace-visual", "category": "development", "license": null, "compatibility": null, "last_updated_at": "2025-11-10T13:41:28Z", "metadata": {}, "source": { "repo": "https://github.com/mhattingpete/claude-skills-marketplace", "path": "visual-documentation-plugin/skills/flowchart-creator", "skill_md_url": "https://raw.githubusercontent.com/mhattingpete/claude-skills-marketplace/main/visual-documentation-plugin/skills/flowchart-creator/SKILL.md", "commit_sha": "3fa16a94e0aba3509e4d4b318ca175d3191b5b7d" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "ci", "art", "visual", "flowchart", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 116, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 441 }, { "id": "claude-marketplace-visual/technical-doc-creator", "name": "technical-doc-creator", "description": "Create HTML technical documentation with code blocks, API workflows, system architecture diagrams, and syntax highlighting. Use when users request technical documentation, API docs, API references, code examples, or developer documentation.", "provider": "claude-marketplace-visual", "category": "documents", "license": null, "compatibility": null, "last_updated_at": "2025-11-10T13:41:28Z", "metadata": {}, "source": { "repo": "https://github.com/mhattingpete/claude-skills-marketplace", "path": "visual-documentation-plugin/skills/technical-doc-creator", "skill_md_url": "https://raw.githubusercontent.com/mhattingpete/claude-skills-marketplace/main/visual-documentation-plugin/skills/technical-doc-creator/SKILL.md", "commit_sha": "3fa16a94e0aba3509e4d4b318ca175d3191b5b7d" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "api", "document", "technical", "doc", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 116, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 441 }, { "id": "claude-marketplace-visual/timeline-creator", "name": "timeline-creator", "description": "Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.", "provider": "claude-marketplace-visual", "category": "creative", "license": null, "compatibility": null, "last_updated_at": "2025-11-10T13:41:28Z", "metadata": {}, "source": { "repo": "https://github.com/mhattingpete/claude-skills-marketplace", "path": "visual-documentation-plugin/skills/timeline-creator", "skill_md_url": "https://raw.githubusercontent.com/mhattingpete/claude-skills-marketplace/main/visual-documentation-plugin/skills/timeline-creator/SKILL.md", "commit_sha": "3fa16a94e0aba3509e4d4b318ca175d3191b5b7d" }, "has_scripts": false, "has_references": true, "has_assets": true, "tags": [ "pr", "art", "visual", "timeline", "creator" ], "duplicate_status": null, "duplicate_annotation": null, "duplicate_of": null, "duplicate_similarity": null, "days_since_update": 116, "maintenance_status": "maintained", "quality_score": 70, "skill_type": "full", "requires_mcp": false, "github_stars": 441 } ] }