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Builds or incrementally updates a multi-language code knowledge graph using Tree-sitter AST parsing, storing nodes/edges in SQLite. Use at session start, after code changes, or before structural analysis.
How this skill is triggered — by the user, by Claude, or both
Slash command
/gauntlet:graph-buildThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Build or update the `.gauntlet/graph.db` knowledge graph
Build or update the .gauntlet/graph.db knowledge graph
for the current codebase.
Detect target: Use the current working directory or a user-specified path.
Check for existing graph: If .gauntlet/graph.db
exists, run an incremental update. Otherwise, run a
full build.
Run the build script:
For full build:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/graph_build.py <dir>
For incremental update:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/graph_build.py <dir> --incremental
Report results: Show the JSON output including files parsed, nodes created, edges created, and duration.
Suggest next steps: Recommend searching the graph or running blast radius analysis.
The graph extracts nodes (File, Class, Function, Type, Test) and edges (CALLS, IMPORTS_FROM, INHERITS, CONTAINS, IMPLEMENTS, TESTED_BY) from 20+ languages including Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ruby, and PHP.
.gauntlet/graph.db (SQLite with WAL mode).gauntlet/.gitignore to prevent commitsnpx claudepluginhub athola/claude-night-market --plugin gauntletBuilds or incrementally updates the repository code knowledge graph for review. Use for initial setup, after refactors or branch switches; supports Python, TypeScript/JS, Go; SQLite storage.
Builds a local knowledge graph of code, docs, and mixed media using tree-sitter extraction and LLM-based relationship inference. Query via CLI commands instead of reading raw files.
Uses codebase knowledge graphs for architecture-aware task decomposition, dependency discovery, and context reduction during planning.