extract
Build a codebase knowledge base of business logic, architecture, data flow, and patterns.
npx skills add majiayu000/claude-skill-registry --skill extract-athola-claude-night-market --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Extract Codebase Knowledge Build or rebuild the `.gauntlet/knowledge.json` knowledge base. ## Steps 1. **Identify target directory**: use the current working directory or a user-specified path 2. **Run AST extraction**: invoke the extractor script ```bash python3 ${CLAUDE_PLUGIN_ROOT}/scripts/extractor.py <target-dir> ``` 3. **AI enrichment**: for each extracted entry, enhance the `detail` field with natural language explanation of business logic, data flow, architectural role, and rationale 4. **Cross-reference**: link related entries across modules by matching imports, shared types, and data flow paths 5. **Merge with annotations**: preserve existing curated entries in `.gauntlet/annotations/` 6. **Save**: write to `.gauntlet/knowledge.json` 7. **Report**: show summary by category, coverage gaps, difficulty distribution ## Category Priority 1. business_logic (weight 7) 2. architecture (weight 6) 3. data_flow (weight 5) 4. api_contract (weight 4) 5. pattern (weight 3) 6. dependency (weight 2) 7. error_handling (weight 1)
- Steps
- Category Priority
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/extractor.py <target-dir>What does the extract skill do?
Build a codebase knowledge base of business logic, architecture, data flow, and patterns.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill extract-athola-claude-night-market --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.