{
  "framework": "research-complete",
  "version": "1.0.0",
  "template_count": 15,
  "last_updated": "2026-05-27",
  "templates": [
    {
      "template_id": "literature-note",
      "filename": "literature-note.md",
      "type": "document",
      "format": "markdown",
      "description": "Zettelkasten-style literature note for research papers",
      "use_case": "Capture key insights, findings, and connections from research papers",
      "primary_agent": "Discovery Agent",
      "progressive_disclosure": true,
      "reasoning_required": true
    },
    {
      "template_id": "summary",
      "filename": "summary.md",
      "type": "document",
      "format": "markdown",
      "description": "Multi-level summary (1-sentence, 1-paragraph, 1-page)",
      "use_case": "Create tiered summaries for different audiences and time constraints",
      "primary_agent": "Discovery Agent",
      "progressive_disclosure": true,
      "reasoning_required": true
    },
    {
      "template_id": "extraction",
      "filename": "extraction.yaml",
      "type": "data",
      "format": "yaml",
      "description": "Structured extraction of claims, methods, and findings",
      "use_case": "Machine-readable extraction for citation networks and synthesis",
      "primary_agent": "Discovery Agent",
      "progressive_disclosure": false,
      "reasoning_required": true
    },
    {
      "template_id": "gap-report",
      "filename": "gap-report.md",
      "type": "document",
      "format": "markdown",
      "description": "Research gap analysis report",
      "use_case": "Identify unstudied areas and plan research priorities",
      "primary_agent": "Discovery Agent",
      "progressive_disclosure": true,
      "reasoning_required": true
    },
    {
      "template_id": "citation-network",
      "filename": "citation-network.md",
      "type": "document",
      "format": "markdown",
      "description": "Citation network visualization and analysis",
      "use_case": "Map intellectual lineage and identify influential papers",
      "primary_agent": "Discovery Agent",
      "progressive_disclosure": true,
      "reasoning_required": true
    },
    {
      "template_id": "quality-assessment",
      "filename": "quality-assessment.md",
      "type": "document",
      "format": "markdown",
      "description": "GRADE quality assessment report",
      "use_case": "Evaluate research quality using GRADE framework",
      "primary_agent": "Quality Agent",
      "progressive_disclosure": true,
      "reasoning_required": true
    },
    {
      "template_id": "provenance-record",
      "filename": "provenance-record.yaml",
      "type": "data",
      "format": "yaml",
      "description": "W3C PROV-compliant provenance record",
      "use_case": "Track artifact derivation chains and attribution",
      "primary_agent": "Provenance Agent",
      "progressive_disclosure": false,
      "reasoning_required": true
    },
    {
      "template_id": "acquisition-report",
      "filename": "acquisition-report.md",
      "type": "document",
      "format": "markdown",
      "description": "Paper acquisition summary with FAIR scores",
      "use_case": "Document paper acquisition with verification and compliance",
      "primary_agent": "Acquisition Agent",
      "progressive_disclosure": true,
      "reasoning_required": true
    },
    {
      "template_id": "radar-sidecar",
      "filename": "radar-sidecar.md",
      "type": "document",
      "format": "markdown",
      "description": "Radar/freshness sidecar: GRADE re-assessment, refresh cadence, and signal-gathering history for a corpus REF",
      "use_case": "Track per-paper freshness; scaffolded by `aiwg corpus radar-init`, consumed by radar-status/radar-report and the radar views (#1498)",
      "primary_agent": "Quality Agent",
      "progressive_disclosure": false,
      "reasoning_required": false
    },
    {
      "template_id": "entity-profile",
      "filename": "entity-profile.md",
      "type": "document",
      "format": "markdown",
      "description": "Entity profile (PROF-P/O/G/F): identity, corpus presence, influence radar, collaboration network, trajectory",
      "use_case": "Profile a person/org/group/funder in the corpus; scaffolded by `aiwg corpus profile-generate`, maintained via profile-status (#1502)",
      "primary_agent": "Quality Agent",
      "progressive_disclosure": false,
      "reasoning_required": false
    },
    {
      "template_id": "reference-canonical",
      "filename": "reference-canonical.md",
      "type": "document",
      "format": "markdown",
      "description": "Canonical 15-section reference/analysis doc — the default for most papers",
      "use_case": "Induct a paper: citation, summary, findings, method, GRADE classification",
      "primary_agent": "Documentation Agent",
      "progressive_disclosure": false,
      "reasoning_required": true
    },
    {
      "template_id": "reference-expanded",
      "filename": "reference-expanded.md",
      "type": "document",
      "format": "markdown",
      "description": "Expanded 21-section reference/analysis doc — foundational/peer-reviewed papers (benchmarks, ablations, comparison, limitations)",
      "use_case": "Deep induction of foundational or peer-reviewed papers warranting full analysis",
      "primary_agent": "Documentation Agent",
      "progressive_disclosure": false,
      "reasoning_required": true
    },
    {
      "template_id": "reference-media",
      "filename": "reference-media.md",
      "type": "document",
      "format": "markdown",
      "description": "Time-based media reference/analysis doc for videos, lectures, podcasts, talks, and interviews with timestamp citations",
      "use_case": "Induct media-curator acquisitions and transcript sidecars into a research corpus without paper-only fields",
      "primary_agent": "Documentation Agent",
      "progressive_disclosure": false,
      "reasoning_required": true
    },
    {
      "template_id": "citation-sidecar",
      "filename": "citation-sidecar.md",
      "type": "document",
      "format": "markdown",
      "description": "Citation-network sidecar — Outgoing/Incoming edge tables, authors, affiliation, funders, optional discovery block",
      "use_case": "Record a paper's citation edges + provenance metadata alongside its analysis doc",
      "primary_agent": "Citation Agent",
      "progressive_disclosure": false,
      "reasoning_required": false
    },
    {
      "template_id": "source-profile",
      "filename": "source-profile.md",
      "type": "document",
      "format": "markdown",
      "description": "PROF-S source/curator profile — discovery-surface tracking, yield, signal quality, revisit cadence",
      "use_case": "Track a discovery curator (account/feed); scaffolded by `aiwg corpus curator-init`, reported by curator-status (#1499)",
      "primary_agent": "Discovery Agent",
      "progressive_disclosure": false,
      "reasoning_required": false
    }
  ],
  "categories": {
    "note-taking": ["literature-note", "summary"],
    "analysis": ["extraction", "gap-report", "citation-network", "quality-assessment"],
    "metadata": ["provenance-record", "acquisition-report"],
    "radar": ["radar-sidecar"],
    "profiles": ["entity-profile"],
    "induction": ["reference-canonical", "reference-expanded", "reference-media", "citation-sidecar"],
    "discovery": ["source-profile"]
  },
  "usage_sequence": [
    {
      "step": 1,
      "template": "acquisition-report",
      "description": "Acquire paper and document provenance"
    },
    {
      "step": 2,
      "template": "provenance-record",
      "description": "Create W3C PROV record for paper"
    },
    {
      "step": 3,
      "template": "literature-note",
      "description": "Create Zettelkasten-style note capturing insights"
    },
    {
      "step": 4,
      "template": "summary",
      "description": "Generate multi-level summary"
    },
    {
      "step": 5,
      "template": "extraction",
      "description": "Extract structured data for machine processing"
    },
    {
      "step": 6,
      "template": "quality-assessment",
      "description": "Assess research quality using GRADE"
    },
    {
      "step": 7,
      "template": "citation-network",
      "description": "Analyze citation relationships (when corpus sufficient)"
    },
    {
      "step": 8,
      "template": "gap-report",
      "description": "Identify research gaps (periodic synthesis activity)"
    }
  ],
  "references": {
    "framework_readme": "@agentic/code/frameworks/research-complete/README.md",
    "agents": "@agentic/code/frameworks/research-complete/agents/",
    "schemas": "@agentic/code/frameworks/sdlc-complete/schemas/research/",
    "rules": [
      "@.claude/rules/progressive-disclosure.md",
      "@.claude/rules/reasoning-sections.md",
      "@.claude/rules/provenance-tracking.md",
      "@.claude/rules/research-metadata.md"
    ]
  }
}