# raglike.md

> raglike.md — andrecrjr-raglike-md. Use this tool when you need to efficiently search and retrieve specific information from large Markdown documentation sets. It solves problems of slow search and information overload by providing fast and relevant results, leveraging advanced semantic search capabilities and vector databases. Ideal for use cases involving extensive git-based documentation repositories, where quick access to specific information is crucial.

Canonical page: https://skillsregistry.net/skills/andrecrjr-raglike-md  
JSON: https://api.skillsregistry.net/v1/skills/andrecrjr-raglike-md

## Description

A high-performance, local semantic search engine for Markdown documentation. Built with Bun, PGlite (pgvector), External Postgres Support, and Xenova Transformers.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/andrecrjr/raglike.md)

## 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": "andrecrjr-raglike-md"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andrecrjr-raglike-md` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andrecrjr-raglike-md/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