# code-graph-rag

> code-graph-rag — vitali87-code-graph-rag. Use this tool when you need to efficiently query, understand, and edit complex multi-language codebases in a monorepo. It solves problems of code navigation, knowledge discovery, and collaborative editing by leveraging AI and knowledge graphs. With git integration, it accepts code repositories as input and provides actionable insights and edits as output.

Canonical page: https://skillsregistry.net/skills/vitali87-code-graph-rag  
JSON: https://api.skillsregistry.net/v1/skills/vitali87-code-graph-rag

## Description

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vitali87/code-graph-rag)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vitali87-code-graph-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vitali87-code-graph-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vitali87-code-graph-rag/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt