# Clyan

> Use this tool when you need to free up disk space and optimize storage by automatically removing unnecessary files. Clyan solves problems of cluttered disk space, slow system performance, and duplicate file management through natural language commands. It takes MCP protocol inputs and outputs cleaned disk space, making it ideal for use in resource-constrained environments or during system maintenance tasks.

Canonical page: https://skillsregistry.net/skills/jonah791-clyan  
JSON: https://api.skillsregistry.net/v1/skills/jonah791-clyan

## Description

Enables AI agents to clean disk space by scanning and removing temporary files, caches, and duplicates through natural language commands via MCP protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/npjmlznxm4)
- **Repository:** <https://github.com/jonah791/clyan>

## 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": "jonah791-clyan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jonah791-clyan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jonah791-clyan/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