# keepygaga-rag

> keepygaga-rag — timwongup-keepygaga-rag. Use this tool when you need to efficiently retrieve knowledge from local sources, leveraging advanced search capabilities such as FTS5 and vector search to solve information retrieval and ranking problems. It accepts various input queries and returns relevant, traceable results, making it ideal for AI agents requiring reliable local-first knowledge access. Suitable for use cases where data privacy and offline accessibility are crucial, such as decentralized or edge AI applications.

Canonical page: https://skillsregistry.net/skills/timwongup-keepygaga-rag  
JSON: https://api.skillsregistry.net/v1/skills/timwongup-keepygaga-rag

## Description

Local-first knowledge retrieval for AI agents, combining FTS5, vector search, reranking, and traceable MCP results.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **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/TimWongUp/keepygaga-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": "timwongup-keepygaga-rag"
    }
  }
}
```

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