Graph Retrieval

Name: Graph Retrieval
Author: study8677

ASecurity

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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Added September 5, 2026

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npx -y skills add study8677/repobrain --skill graph-retrieval --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md

---
name: graph-retrieval
description: 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.
---

# 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
```json
{
  "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.