# mac-use

> mac-use — kekejun-mac-use. Use this tool when you need to automate interactions with macOS GUI applications, such as taking screenshots, simulating user clicks, scrolling, and typing text. It solves problems like automating repetitive tasks, testing app functionality, and integrating with other workflows. The tool takes input in the form of visual commands and outputs the resulting GUI interactions, making it ideal for use cases that require visual automation of macOS apps.

Canonical page: https://skillsregistry.net/skills/kekejun-mac-use  
JSON: https://api.skillsregistry.net/v1/skills/kekejun-mac-use

## Description

Control macOS GUI apps visually — take screenshots, click, scroll, type.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kekejun-mac-use)

## 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": "kekejun-mac-use"
    }
  }
}
```

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