# muell-io

> Use this tool when you need to process and analyze data, as muell-io provides core functionality for handling various inputs and generating meaningful outputs. It solves problems related to data management, processing, and visualization, making it a useful tool for a range of use cases. With its general-purpose interface, muell-io accepts diverse data formats as inputs and produces actionable insights as outputs, suitable for applications where data-driven decision-making is crucial.

Canonical page: https://skillsregistry.net/skills/lochmueller-muell-io  
JSON: https://api.skillsregistry.net/v1/skills/lochmueller-muell-io

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/lochmueller/muell-io)

## 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": "lochmueller-muell-io"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lochmueller-muell-io` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lochmueller-muell-io/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