{
  "description": "Skills for teams building on the Anthropic API — prompt caching, token budgeting, eval generation for skills, and tool-use schema writing.",
  "display_name": "API builder",
  "keywords": ["anthropic", "prompt-caching", "tokens", "tool-use", "evals"],
  "links": {
    "documentation": "https://sananthanarayan.github.io/skilldrop/packs/api-builder/"
  },
  "maintainers": [
    {
      "name": "sananthanarayan"
    }
  ],
  "first-value": {
    "audience-posture": "technical",
    "prerequisites": ["A system prompt and a typical request from your Claude API integration"],
    "starter-task": "Find where prompt caching will cut your input costs",
    "starter-prompt": "Here is our system prompt and a typical request: <paste them>. Where should the cache_control breakpoints go, and what hit rate should we expect?",
    "verification": "prompt-caching-advisor marks where each cache_control checkpoint goes and estimates the cache hit rate.",
    "recovery": "If prompt-caching-advisor does not activate, ask for it by name and check that its folder exists in your skills folder (`~/.claude/skills/` by default)."
  },
  "journey": {
    "when": "You are building or tuning a Claude API integration and want its tools defined properly and its token costs under control.",
    "you_bring": [
      "the functions your agent should call: name, purpose and parameters",
      "your system prompt and a typical request",
      "a description of the workflow: turns, tool results, output length"
    ],
    "time": "30–60 minutes",
    "steps": [
      {
        "skill": "tool-use-schema-writer",
        "you_do": "Describe each function the model should call.",
        "you_get": "A tool_use JSON schema per function with types, required fields and parameter descriptions, plus a Python client.messages.create snippet."
      },
      {
        "skill": "token-budget-estimator",
        "you_do": "Describe the workflow or share a sample request and response.",
        "you_get": "A per-component token table, the dominant cost driver, and max_tokens and other budget controls per component."
      },
      {
        "skill": "prompt-caching-advisor",
        "you_do": "Paste the system prompt and a typical request.",
        "you_get": "Each block classed as static, quasi-static or dynamic, where each cache_control breakpoint goes with code, and an expected cache hit rate."
      }
    ],
    "you_end_with": "Tool schemas ready to wire in, a token budget with its main cost driver named, and a caching plan."
  }
}