knowledge-extractor

Solid

Extract tribal knowledge from code, documentation, and commit history to preserve institutional memory

Data & Documents 1,160 stars 71 forks Updated today MIT

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Quality Score: 96/100

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100
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70
Documentation 15%
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Issue Health 10%
50
License 10%
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Description 5%
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Skill Content

# Knowledge Extractor Skill Extracts tribal knowledge from code comments, commit messages, documentation, and other sources to preserve institutional memory during migration. ## Purpose Enable knowledge preservation for: - Comment analysis and extraction - Commit message mining - Documentation parsing - Pattern recognition - Business rule discovery ## Capabilities ### 1. Comment Analysis - Extract TODO/FIXME comments - Parse documentation comments - Identify explanatory notes - Find warning comments ### 2. Commit Message Mining - Extract rationale from commits - Identify bug fix context - Find feature explanations - Track decision history ### 3. Documentation Parsing - Parse markdown documentation - Extract from wikis - Process README files - Catalog API docs ### 4. Pattern Recognition - Identify coding patterns - Recognize idioms - Detect conventions - Map architectural patterns ### 5. Business Rule Extraction - Find business logic comments - Extract validation rules - Identify calculation explanations - Document edge cases ### 6. Glossary Generation - Build domain vocabulary - Define abbreviations - Map term usage - Create terminology guide ## Tool Integrations | Tool | Purpose | Integration Method | |------|---------|-------------------| | Sourcegraph | Code search | API | | GitHub API | Commit history | API | | grep/ripgrep | Pattern search | CLI | | Custom NLP | Text analysis | Library | | Confluence API | Wiki extraction | API | ## Output Schema ```json { ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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