graph-onboardlisted

# Graph Onboard (GraQle) Take a repository from zero to a queryable knowledge graph. 1. **Check the install** — run `graq doctor` in the shell. If `graq` is not found, install with `pip install graqle` first. 2. **Scan** — `graq scan repo .` from the repository root. This builds `graqle.json` (nodes for modules, functions, classes, endpoints and their dependency edges). The first full scan is never blocked by licensing caps, whatever the repo size (scan time itself scales with the repo). 3. **Configure the backend** — `graqle.yaml` controls which LLM provider powers reasoning (Anthropic by default; bring your own key via environment variables). 4. **Verify** — `graq_inspect` for node/edge counts and hub nodes, and `graq_graph_health` for embedding/cache status. If chunks are unembedded, follow its recommendation before relying on semantic recall. 5. **First question** — `graq_reason(question="What are the highest-risk modules in this repo and why?")` to demonstrate graph-powered reasoning. 6. **Keep it growing** — call `graq_learn` after completing tasks, and let `graq init` install git hooks so the graph stays in sync with the code.