graph-build
Builds or updates the code knowledge graph via tree-sitter AST and SQLite. Use when setting up the graph before search or blast-radius analysis.
What this skill does
# 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
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