Research Document Command

Generate structured summaries and literature notes from acquired research papers.

Instructions

When invoked, create comprehensive documentation:

1. Load Paper

   • Verify REF-XXX exists in

     .aiwg/research/sources/

   • Load PDF and existing finding document
   • Load metadata from frontmatter

2. Extract Content

   • Parse PDF sections (abstract, introduction, methodology, results, conclusion)
   • Identify key findings, claims, and evidence
   • Extract figures, tables, and important quotes
   • Note limitations and future work

3. Analyze Relevance

   • Assess applicability to AIWG framework
   • Identify which components/agents could use these findings
   • Determine implementation priority
   • Map findings to existing use cases or requirements

4. Generate Documentation

   • Fill finding document template sections:
     • Executive Summary
     • Key Findings (with metrics)
     • Methodology
     • AIWG Relevance
     • Implementation Notes
     • References
   • Use domain-appropriate voice
   • Include specific metrics and quotes

5. Create Synthesis Notes

   • Generate literature note in

     .aiwg/research/literature-notes/REF-XXX-notes.md

   • Connect to related research (cross-references)
   • Identify gaps or contradictions with existing corpus
   • Suggest follow-up research questions

6. Update Index

   • Add to topic-based indices
   • Update cross-reference map
   • Flag for synthesis report inclusion

Arguments

• [ref-id]

  - REF-XXX identifier (required)

• --depth [brief|standard|comprehensive]

  - Documentation depth (default: standard)

• --focus [section]

  - Focus on specific section (methodology, results, implications)

• --update-only

  - Update existing documentation rather than regenerate

• --include-citations

  - Extract all citations from paper for potential acquisition

Depth Levels

brief

standard

comprehensive

Examples

# Standard documentation
/research-document REF-022

# Brief summary for quick review
/research-document REF-022 --depth brief

# Comprehensive with citation extraction
/research-document REF-022 --depth comprehensive --include-citations

# Update existing documentation
/research-document REF-022 --update-only

# Focus on methodology only
/research-document REF-022 --focus methodology

Expected Output

Documenting: REF-022 - AutoGen: Enabling Next-Gen LLM Applications
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Step 1: Loading paper
  ✓ PDF loaded (27 pages)
  ✓ Metadata parsed
  ✓ Existing finding document found

Step 2: Extracting content
  ✓ Abstract extracted
  ✓ Sections parsed: Introduction, Framework, Evaluation, Discussion
  ✓ 4 key findings identified
  ✓ 12 figures/tables extracted
  ✓ 3 direct quotes captured

Step 3: Analyzing AIWG relevance
  ✓ High relevance to agent orchestration
  ✓ Applicable to: Conversable Agent Interface, Auto-Reply Chains
  ✓ Implementation priority: HIGH
  ✓ Maps to: UC-174, UC-183

Step 4: Generating documentation
  ✓ Finding document updated: .aiwg/research/findings/REF-022-autogen.md
  ✓ Sections populated:
    - Executive Summary (150 words)
    - Key Findings (4 findings, metrics included)
    - Methodology (multi-agent conversational framework)
    - AIWG Relevance (applicable components listed)
    - Implementation Notes (integration patterns)
    - Limitations (scalability concerns noted)
    - References (45 citations)

Step 5: Creating synthesis notes
  ✓ Literature note: .aiwg/research/literature-notes/REF-022-notes.md
  ✓ Connected to: REF-001, REF-013, REF-057
  ✓ Synthesis themes: agent collaboration, HITL patterns
  ✓ Follow-up questions: 3 identified

Step 6: Updating indices
  ✓ Added to topic indices: agentic-workflows, multi-agent-systems
  ✓ Cross-reference map updated
  ✓ Flagged for next synthesis report

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Documentation complete!

Finding: .aiwg/research/findings/REF-022-autogen.md (1,847 words)
Literature Note: .aiwg/research/literature-notes/REF-022-notes.md (623 words)

Next Steps:
1. /research-quality REF-022 - Assess evidence quality
2. /research-cite REF-022 - Generate citations
3. Review AIWG integration opportunities in UC-174, UC-183

Quality Checks

Documentation includes automatic quality checks:

• All key findings have metrics or specific claims
• AIWG relevance section is concrete (not generic)
• Implementation priority justified
• No invented citations or page references
• Quotes are exact with page numbers
• Limitations section populated
• Cross-references to related research included

Voice and Tone

Documentation follows AIWG voice guidelines:

• Technical Authority for methodology sections
• Analytical Precision for findings
• Pragmatic for implementation notes
• Balanced when noting limitations

Avoids:

• Marketing language ("revolutionary", "game-changing")
• Overconfident claims beyond evidence
• Generic summaries without specifics

References

• @$AIWG_ROOT/agentic/code/frameworks/research-complete/agents/documentation-agent.md - Documentation Agent
• @$AIWG_ROOT/src/research/services/documentation-service.ts - Documentation implementation
• @$AIWG_ROOT/agentic/code/frameworks/research-complete/templates/finding-template.md - Finding template
• @$AIWG_ROOT/agentic/code/addons/voice-framework/voices/technical-authority.md - Voice profile
• @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/citation-policy.md - Citation requirements