# smart-rag

> smart-rag — robby031-smart-rag. Use this tool when you need to analyze and understand your codebase using natural language queries, indexing, and querying capabilities. It solves problems related to code intelligence, such as searching and understanding complex code structures. The smart-rag tool takes in Git-based code repositories as input and outputs actionable insights and query results.

Canonical page: https://skillsregistry.net/skills/robby031-smart-rag  
JSON: https://api.skillsregistry.net/v1/skills/robby031-smart-rag

## Description

🧠 Go-based MCP server for RAG code intelligence. Index, query, and analyze your codebase using natural language.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/robby031/smart-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": "robby031-smart-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robby031-smart-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robby031-smart-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