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study8677 / graph-retrieval

Exposes graph-based retrieval as a tool capability via `query_graph`. Reads normalized graph store files, builds a query-relevant subgraph, and returns LLM-friendly semantic triples with replayable evidence metadata.

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SKILL.md
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Graph Retrieval Skill

Purpose

Expose graph-based retrieval as a tool capability without breaking the
existing RepoBrain execution chain.

Tool

  • query_graph(query, max_hops=2, workspace='.')

Behavior

  • Reads normalized graph store files under .repobrain/graph/.
  • Builds a query-relevant subgraph.
  • Returns LLM-friendly semantic triples plus replayable evidence metadata.

Output Contract

{
  "summary": "...",
  "triples": [["subject", "predicate", "object"]],
  "evidence": [{"retrieval_id": "...", "tool_name": "..."}],
  "nodes": [...],
  "edges": [...]
}

Design Notes

  • Keeps tool-driven and replayable architecture.
  • Does not bypass pipeline.
  • Intended for structure/dependency questions and context enrichment.