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From gauntlet
Analyzes codebase using AST extraction and AI enrichment to build .gauntlet/knowledge.json with business logic, architecture, data flow, and engineering patterns. Enables gauntlet challenges and agent integration.
npx claudepluginhub athola/claude-night-market --plugin gauntletHow this skill is triggered — by the user, by Claude, or both
Slash command
/gauntlet:extractThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Build or rebuild the `.gauntlet/knowledge.json` knowledge base.
Analyzes source code to discover and extract implicit knowledge—architecture patterns, conventions, API contracts, config structures, codebase rules—into KB articles.
Deeply explores existing codebases to map architecture, data flow, domain model, API surface, dependencies, and code health using read-only SubAgents.
Performs deep codebase analysis for patterns, architecture, implementation details, and technical debt using codebase-analyst agent. Analyzes concepts, modules, questions, or provides overviews.
Share bugs, ideas, or general feedback.
Build or rebuild the .gauntlet/knowledge.json knowledge base.
Identify target directory: use the current working directory or a user-specified path
Run AST extraction: invoke the extractor script
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/extractor.py <target-dir>
AI enrichment: for each extracted entry, enhance the detail
field with natural language explanation of business logic, data
flow, architectural role, and rationale
Cross-reference: link related entries across modules by matching imports, shared types, and data flow paths
Merge with annotations: preserve existing curated entries
in .gauntlet/annotations/
Save: write to .gauntlet/knowledge.json
Report: show summary by category, coverage gaps, difficulty distribution