# reporag

> reporag — davidnbr-reporag. Use this tool when you need to integrate a local knowledge layer with AI coding tools for enhanced codebase awareness. Reporag solves the problem of limited code understanding in AI tools, supporting popular platforms like Claude Code, Cursor, Codex, and Antigravity. It takes in git repository data and outputs comprehensive code insights, enabling seamless AI-powered coding experiences.

Canonical page: https://skillsregistry.net/skills/davidnbr-reporag  
JSON: https://api.skillsregistry.net/v1/skills/davidnbr-reporag

## Description

Fully local, zero-cost RAG knowledge layer for AI coding tools. Achieve near perfect codebase awareness with any AI tool. Supports Claude Code, Cursor, Codex, Antigravity

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/davidnbr/reporag)

## 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": "davidnbr-reporag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidnbr-reporag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidnbr-reporag/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