# claude-workman

> claude-workman — advisoragi-claude-workman. Use this tool when you need to automate interactions with a Linux/X11 desktop environment, such as testing GUI applications or automating repetitive tasks. It enables programmatic control of desktop elements, including mouse movements, keyboard input, and window management, via the accessibility tree. Ideal for use cases requiring human-like interaction with a Linux desktop, such as automated testing or scripting.

Canonical page: https://skillsregistry.net/skills/advisoragi-claude-workman  
JSON: https://api.skillsregistry.net/v1/skills/advisoragi-claude-workman

## Description

Enables MCP clients to control a Linux/X11 desktop like a human: see the screen, move the mouse, click UI elements via the accessibility tree, type text, and manage windows.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ebmgajfuvx)
- **Repository:** <https://github.com/AdvisorAGI/claude-workman>

## 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": "advisoragi-claude-workman"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/advisoragi-claude-workman` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/advisoragi-claude-workman/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
