Skills graph-build

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/athola/nm-gauntlet-graph-build" ~/.claude/skills/clawdbot-skills-graph-build && rm -rf "$T"

manifest: skills/athola/nm-gauntlet-graph-build/SKILL.md

source content

Night Market Skill — ported from claude-night-market/gauntlet. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Build Code Knowledge Graph

Build or update the

.gauntlet/graph.db

knowledge graph for the current codebase.

Steps

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.

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