# rag-legacy

> rag-legacy — fubaritico-vite-mf-monorepo-rag. Use this tool when you need to efficiently search and retrieve specific code snippets from a large legacy codebase using natural language queries. It solves the problem of manual code searching by leveraging vector search to return relevant code chunks. The tool takes natural language queries as input and outputs relevant code snippets, making it ideal for use cases where quick code discovery is crucial.

Canonical page: https://skillsregistry.net/skills/fubaritico-vite-mf-monorepo-rag  
JSON: https://api.skillsregistry.net/v1/skills/fubaritico-vite-mf-monorepo-rag

## Description

Enables Claude Code to semantically search a legacy codebase using natural language queries, returning relevant code chunks via vector search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/njbpcun3yw)
- **Repository:** <https://github.com/fubaritico/vite-mf-monorepo-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": "fubaritico-vite-mf-monorepo-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fubaritico-vite-mf-monorepo-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fubaritico-vite-mf-monorepo-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