# ragdoll

> ragdoll — r-xue-ragdoll. Use this tool when you need to generate text based on specific information retrieval, leveraging offline local large language models (LLMs) to drive the generation process. It solves problems related to content creation, research, and data-driven writing by providing relevant and accurate outputs. Ideal for use cases where offline access to LLMs is necessary, such as in areas with limited internet connectivity or sensitive data environments.

Canonical page: https://skillsregistry.net/skills/r-xue-ragdoll  
JSON: https://api.skillsregistry.net/v1/skills/r-xue-ragdoll

## Description

Retrieval-Augmented Generation Driven by Offline Local LLMs

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **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/r-xue/ragdoll)

## 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": "r-xue-ragdoll"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/r-xue-ragdoll` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/r-xue-ragdoll/pull`

---
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