graph-build

# Build Code Knowledge Graph Build or update the `.gauntlet/graph.db` knowledge graph for the current codebase. ## Steps 1. **Detect target**: Use the current working directory or a user-specified path. 2. **Check for existing graph**: If `.gauntlet/graph.db` exists, run an incremental update. Otherwise, run a full build. 3. **Run the build script**: For full build: ```bash python3 ${CLAUDE_PLUGIN_ROOT}/scripts/graph_build.py <dir> ``` For incremental update: ```bash python3 ${CLAUDE_PLUGIN_ROOT}/scripts/graph_build.py <dir> --incremental ``` 4. **Report results**: Show the JSON output including files parsed, nodes created, edges created, and duration. 5. **Suggest next steps**: Recommend searching the graph or running blast radius analysis. ## When To Use - At the start of a session to build structural awareness - After significant code changes to update the graph - Before running blast radius analysis or flow tracing - When the user asks about codebase structure ## What Gets Parsed 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. ## Storage - Database: `.gauntlet/graph.db` (SQLite with WAL mode) - Auto-creates `.gauntlet/.gitignore` to prevent commits - Incremental updates use SHA-256 hashing to skip unchanged files