{
  "framework": "research-complete",
  "version": "1.0.0",
  "template_count": 8,
  "last_updated": "2026-02-03",
  "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
    }
  ],
  "categories": {
    "note-taking": ["literature-note", "summary"],
    "analysis": ["extraction", "gap-report", "citation-network", "quality-assessment"],
    "metadata": ["provenance-record", "acquisition-report"]
  },
  "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"
    ]
  }
}