# codebase-rag

> codebase-rag — ar-maan05-codebase-rag. Use this tool when you need to efficiently navigate and understand a codebase, as it provides semantic search and reference graph capabilities to replace manual grep/glob calls. It solves problems such as finding symbol definitions, identifying caller/callee relationships, and analyzing change impacts, making it ideal for use cases like code maintenance, debugging, and optimization. With inputs like code queries and outputs like relevant symbol information, use codebase-rag to streamline your coding workflow.

Canonical page: https://skillsregistry.net/skills/ar-maan05-codebase-rag  
JSON: https://api.skillsregistry.net/v1/skills/ar-maan05-codebase-rag

## Description

Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cwkvto7yyp)
- **Repository:** <https://github.com/Ar-maan05/codebase-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": "ar-maan05-codebase-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ar-maan05-codebase-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ar-maan05-codebase-rag/pull`

---
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