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claude-codedevelopment

Claude-night-market extract

install
source · Clone the upstream repo
git clone https://github.com/athola/claude-night-market
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/athola/claude-night-market "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/gauntlet/skills/extract" ~/.claude/skills/athola-claude-night-market-extract && rm -rf "$T"
manifest: plugins/gauntlet/skills/extract/SKILL.md
tags
#code-analysis#knowledge-graph#code-understanding#ast-parsing#documentation#code-intelligence
source content

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

    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)