UNPKG

aiwg

Version:

Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

155 lines (154 loc) 5.12 kB
{ "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" ] } }