# RTFM

> Use this tool when you need to transform unstructured documentation into a searchable knowledge base, solving the problem of inaccessible or unreadable information. It takes in unorganized content and outputs a clear, intelligent manual, leveraging natural language processing capabilities. Ideal for development teams, open source projects, or organizations seeking to improve documentation processes and make information more accessible.

Canonical page: https://skillsregistry.net/skills/ryanjoachim-rtfm  
JSON: https://api.skillsregistry.net/v1/skills/ryanjoachim-rtfm

## Description

MCP-RTFM is a tool for transforming unstructured documentation into an intelligent, searchable knowledge base. Developed by Ryan Joachim, it addresses the common problem of non-existent or unreadable documentation by helping create clear, accessible 'manuals' from existing content. The implementation uses TypeScript and integrates with the Model Context Protocol SDK, leveraging natural language processing capabilities to analyze and structure information. It's designed for development teams, open source projects, or any organization looking to improve their documentation processes and make information more readily available to users and team members.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ryanjoachim-rtfm)
- **Repository:** <https://github.com/ryanjoachim/mcp-rtfm>

## 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": "ryanjoachim-rtfm"
    }
  }
}
```

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