[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C3BK28VNN19GKBKFTFCB3W":3,"skill-same:01M6C3BK28VNN19GKBKFTFCB3W":77},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":29,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":58,"ownerHtmlUrl":59,"ownerBlogUrl":60,"ownerDescription":61,"updatedAt":62,"install":63,"resources":76},"01M6C3BK28VNN19GKBKFTFCB3W","research-document",null,"Generate summaries and literature notes from research papers","jmagly\u002Faiwg","jmagly","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1159087?v=4","01M6C10AK8N2WCSQN11FYGTJWN","Joseph Magly","01M6C10AQ8A2RMED1Y1BSVY7NF",229,"MIT","https:\u002F\u002Fgithub.com\u002Fjmagly\u002Faiwg\u002Fblob\u002Fmain\u002Fagentic\u002Fcode\u002Fplugins\u002Fresearch\u002Fskills\u002Fresearch-document\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[30,31,32,33,34,35,36,37,38,39,40,41],"research","research document","document","documentation","notes","generate","brief","literature","papers","summaries","standard","depth","2026-11-10 10:12:30",false,"---\nnamespace: aiwg\nname: research-document\nplatforms: [all]\ndescription: Generate summaries and literature notes from research papers\ncommandHint:\n  argumentHint: \"[REF-XXX] [--depth brief|standard|comprehensive]\"\n  category: research-documentation\n---\n\n# Research Document Command\n\nGenerate structured summaries and literature notes from acquired research papers.\n\n## Instructions\n\nWhen invoked, create comprehensive documentation:\n\n1. **Load Paper**\n   - Verify REF-XXX exists in `.aiwg\u002Fresearch\u002Fsources\u002F`\n   - Load PDF and existing finding document\n   - Load metadata from frontmatter\n\n2. **Extract Content**\n   - Parse PDF sections (abstract, introduction, methodology, results, conclusion)\n   - Identify key findings, claims, and evidence\n   - Extract figures, tables, and important quotes\n   - Note limitations and future work\n\n3. **Analyze Relevance**\n   - Assess applicability to AIWG framework\n   - Identify which components\u002Fagents could use these findings\n   - Determine implementation priority\n   - Map findings to existing use cases or requirements\n\n4. **Generate Documentation**\n   - Fill finding document template sections:\n     - Executive Summary\n     - Key Findings (with metrics)\n     - Methodology\n     - AIWG Relevance\n     - Implementation Notes\n     - References\n   - Use domain-appropriate voice\n   - Include specific metrics and quotes\n\n5. **Create Synthesis Notes**\n   - Generate literature note in `.aiwg\u002Fresearch\u002Fliterature-notes\u002FREF-XXX-notes.md`\n   - Connect to related research (cross-references)\n   - Identify gaps or contradictions with existing corpus\n   - Suggest follow-up research questions\n\n6. **Update Index**\n   - Add to topic-based indices\n   - Update cross-reference map\n   - Flag for synthesis report inclusion\n\n## Arguments\n\n- `[ref-id]` - REF-XXX identifier (required)\n- `--depth [brief|standard|comprehensive]` - Documentation depth (default: standard)\n- `--focus [section]` - Focus on specific section (methodology, results, implications)\n- `--update-only` - Update existing documentation rather than regenerate\n- `--include-citations` - Extract all citations from paper for potential acquisition\n\n## Depth Levels\n\n| Level | Content |\n|-------|---------|\n| `brief` | Executive summary + key findings only (~500 words) |\n| `standard` | Full finding document with all sections (~1500 words) |\n| `comprehensive` | Full document + literature notes + citation extraction (~3000 words) |\n\n## Examples\n\n```bash\n# Standard documentation\n\u002Fresearch-document REF-022\n\n# Brief summary for quick review\n\u002Fresearch-document REF-022 --depth brief\n\n# Comprehensive with citation extraction\n\u002Fresearch-document REF-022 --depth comprehensive --include-citations\n\n# Update existing documentation\n\u002Fresearch-document REF-022 --update-only\n\n# Focus on methodology only\n\u002Fresearch-document REF-022 --focus methodology\n```\n\n## Expected Output\n\n```\nDocumenting: REF-022 - AutoGen: Enabling Next-Gen LLM Applications\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nStep 1: Loading paper\n  ✓ PDF loaded (27 pages)\n  ✓ Metadata parsed\n  ✓ Existing finding document found\n\nStep 2: Extracting content\n  ✓ Abstract extracted\n  ✓ Sections parsed: Introduction, Framework, Evaluation, Discussion\n  ✓ 4 key findings identified\n  ✓ 12 figures\u002Ftables extracted\n  ✓ 3 direct quotes captured\n\nStep 3: Analyzing AIWG relevance\n  ✓ High relevance to agent orchestration\n  ✓ Applicable to: Conversable Agent Interface, Auto-Reply Chains\n  ✓ Implementation priority: HIGH\n  ✓ Maps to: UC-174, UC-183\n\nStep 4: Generating documentation\n  ✓ Finding document updated: .aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md\n  ✓ Sections populated:\n    - Executive Summary (150 words)\n    - Key Findings (4 findings, metrics included)\n    - Methodology (multi-agent conversational framework)\n    - AIWG Relevance (applicable components listed)\n    - Implementation Notes (integration patterns)\n    - Limitations (scalability concerns noted)\n    - References (45 citations)\n\nStep 5: Creating synthesis notes\n  ✓ Literature note: .aiwg\u002Fresearch\u002Fliterature-notes\u002FREF-022-notes.md\n  ✓ Connected to: REF-001, REF-013, REF-057\n  ✓ Synthesis themes: agent collaboration, HITL patterns\n  ✓ Follow-up questions: 3 identified\n\nStep 6: Updating indices\n  ✓ Added to topic indices: agentic-workflows, multi-agent-systems\n  ✓ Cross-reference map updated\n  ✓ Flagged for next synthesis report\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nDocumentation complete!\n\nFinding: .aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md (1,847 words)\nLiterature Note: .aiwg\u002Fresearch\u002Fliterature-notes\u002FREF-022-notes.md (623 words)\n\nNext Steps:\n1. \u002Fresearch-quality REF-022 - Assess evidence quality\n2. \u002Fresearch-cite REF-022 - Generate citations\n3. Review AIWG integration opportunities in UC-174, UC-183\n```\n\n## Quality Checks\n\nDocumentation includes automatic quality checks:\n\n- [ ] All key findings have metrics or specific claims\n- [ ] AIWG relevance section is concrete (not generic)\n- [ ] Implementation priority justified\n- [ ] No invented citations or page references\n- [ ] Quotes are exact with page numbers\n- [ ] Limitations section populated\n- [ ] Cross-references to related research included\n\n## Voice and Tone\n\nDocumentation follows AIWG voice guidelines:\n\n- **Technical Authority** for methodology sections\n- **Analytical Precision** for findings\n- **Pragmatic** for implementation notes\n- **Balanced** when noting limitations\n\nAvoids:\n- Marketing language (\"revolutionary\", \"game-changing\")\n- Overconfident claims beyond evidence\n- Generic summaries without specifics\n\n## References\n\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fresearch-complete\u002Fagents\u002Fdocumentation-agent.md - Documentation Agent\n- @$AIWG_ROOT\u002Fsrc\u002Fresearch\u002Fservices\u002Fdocumentation-service.ts - Documentation implementation\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fresearch-complete\u002Ftemplates\u002Freference-canonical.md - Finding template\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Faddons\u002Fvoice-framework\u002Fvoices\u002Ftechnical-authority.md - Voice profile\n- @$AIWG_ROOT\u002Fagentic\u002Fcode\u002Fframeworks\u002Fsdlc-complete\u002Frules\u002Fcitation-policy.md - Citation requirements\n","# Research Document Command\n\nGenerate structured summaries and literature notes from acquired research papers.\n\n## Instructions\n\nWhen invoked, create comprehensive documentation:\n\n1. **Load Paper**\n   - Verify REF-XXX exists in `.aiwg\u002Fresearch\u002Fsources\u002F`\n   - Load PDF and existing finding document\n   - Load metadata from frontmatter\n\n2. **Extract Content**\n   - Parse PDF sections (abstract, introduction, methodology, results, conclusion)\n   - Identify key findings, claims, and evidence\n   - Extract figures, tables, and important quotes\n   - Note limitations and future work\n\n3. **Analyze Relevance**\n   - Assess applicability to AIWG framework\n   - Identify which components\u002Fagents could use these findings\n   - Determine implementation priority\n   - Map findings to existing use cases or requirements\n\n4. **Generate Documentation**\n   - Fill finding document template sections:\n     - Executive Summary\n     - Key Findings (with metrics)\n     - Methodology\n     - AIWG Relevance\n     - Implementation Notes\n     - References\n   - Use domain-appropriate voice\n   - Include specific metrics and quotes\n\n5. **Create Synthesis Notes**\n   - Generate literature note in `.aiwg\u002Fresearch\u002Fliterature-notes\u002FREF-XXX-notes.md`\n   - Connect to related research (cross-references)\n   - Identify gaps or contradictions with existing corpus\n   - Suggest follow-up research questions\n\n6. **Update Index**\n   - Add to topic-based indices\n   - Update cross-reference map\n   - Flag for synthesis report inclusion\n\n## Arguments\n\n- `[ref-id]` - REF-XXX identifier (required)\n- `--depth [brief|standard|comprehensive]` - Documentation depth (default: standard)\n- `--focus [section]` - Focus on specific section (methodology, results, implications)\n- `--update-only` - Update existing documentation rather than regenerate\n- `--include-citations` - Extract all citations from paper for potential acquisition\n\n## Depth Levels\n\n| Level | Content |\n|-------|---------|\n| `brief` | Executive summary + key findings only (~500 words) |\n| `standard` | Full finding document with all sections (~1500 words) |\n| `comprehensive` | Full document + literature notes + citation extraction (~3000 words) |\n\n## Examples\n\n```bash\n# Standard documentation\n\u002Fresearch-document REF-022\n\n# Brief summary for quick review\n\u002Fresearch-document REF-022 --depth brief\n\n# Comprehensive with citation extraction\n\u002Fresearch-document REF-022 --depth comprehensive --include-citations\n\n# Update existing documentation\n\u002Fresearch-document REF-022 --update-only\n\n# Focus on methodology only\n\u002Fresearch-document REF-022 --focus methodology\n```\n\n## Expected Output\n\n```\nDocumenting: REF-022 - AutoGen: Enabling Next-Gen LLM Applications\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\nStep 1: Loading paper\n  ✓ PDF loaded (27 pages)\n  ✓ Metadata parsed\n  ✓ Existing finding document found\n\nStep 2: Extracting content\n  ✓ Abstract extracted\n  ✓ Sections parsed: Introduction, Framework, Evaluation, Discussion\n  ✓ 4 key findings identified\n  ✓ 12 figures\u002Ftables extracted\n  ✓ 3 direct quotes captured\n\nStep 3: Analyzing AIWG relevance\n  ✓ High relevance to agent orchestration\n  ✓ Applicable to: Conversable Agent Interface, Auto-Reply Chains\n  ✓ Implementation priority: HIGH\n  ✓ Maps to: UC-174, UC-183\n\nStep 4: Generating documentation\n  ✓ Finding document updated: .aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md\n  ✓ Sections populated:\n    - Executive Summary (150 words)\n    - Key Findings (4 findings, metrics included)\n    - Methodology (multi-agent conversational framework)\n    - AIWG Relevance (applicable components listed)\n    - Implementation Notes (integration patterns)\n    - Limitations (scalability concerns noted)\n    - References (45 citations)\n\nStep 5: Creating synthesis notes\n  ✓ Literature note: .aiwg\u002Fresearch\u002Fliterature-notes\u002FREF-022-notes.md\n  ✓ Connected to: REF-001, REF-013, REF-057\n  ✓ Synthesis themes: agent collaboration, HITL patterns\n  ✓ Follow-up questions: 3 identified\n\nStep 6: Updating indices\n  ✓ Added to topic indices: agentic-workflows, multi-agent-systems\n  ✓ Cross-reference map updated\n  ✓ Flagged for next synthesis report\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\nDocumentation complete!\n\nFinding: .aiwg\u002Fresearch\u002Ffindings\u002FREF-022-autogen.md (1,847 words)\nLiterature Note: .aiwg\u002Fresearch\u002Fliterature-notes\u002FREF-022-notes.md (623 words)\n\nNext Steps:\n1. \u002Fresearch-quality REF-022 - Assess evidence quality\n2. \u002Fresearch-cite REF-022 - Generate citations\n3. Review AIWG integration opportunities in UC-174, UC-183\n```\n\n## Quality Checks\n\nDocumentation includes automatic quality checks:\n\n- [ ] All key findings have metrics or specific claims\n- [ ] AIWG relevance section is concrete (not generic)\n- [ ] Implementation priority justified\n- [ ] No invented citations or page references\n- [ ] Quotes are exact with page numbers\n- [ ] Limitations section populated\n- [ ] Cross-references to related research included\n\n## Voice and Tone\n\nDocumentation follows AIWG voice guidelines:\n\n- **Technical Authority** for methodology sections\n- **Analytical Precision** for findings\n- **Pragmatic** for implementation notes\n- **Balanced** when noting limitations\n\nAvoids:\n- Marketing language (\"revolutionary\", \"game-changing\")\n- Overconfident claims beyond evidence\n- Generic summaries without specifics\n\n## References\n\n- 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