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 gauntletThis skill uses the workspace's default tool permissions.
Build or rebuild the `.gauntlet/knowledge.json` knowledge base.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Guides MCP server integration in Claude Code plugins via .mcp.json or plugin.json configs for stdio, SSE, HTTP types, enabling external services as tools.
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