# EasyTouch

> Use this tool when you need to automate system interactions across multiple platforms, solving problems such as repetitive tasks, automated testing, and workflow optimization. EasyTouch provides a range of inputs including CLI and MCP interfaces, and outputs such as screenshots, system information, and browser automation results. It is ideal for use cases requiring cross-platform automation, including automated testing, data entry, and workflow streamlining.

Canonical page: https://skillsregistry.net/skills/whuanle-easytouch  
JSON: https://api.skillsregistry.net/v1/skills/whuanle-easytouch

## Description

Provides cross-platform system automation for Windows, Linux, and macOS through CLI and MCP interfaces. Supports mouse movement and clicking, keyboard input, screenshots, pixel color detection, window listing and activation, system information queries, clipboard operations, and full browser automation via Playwright including navigation, element interaction, cookie management, and automated testing.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/whuanle-easytouch)
- **Repository:** <https://github.com/whuanle/easytouch>

## 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": "whuanle-easytouch"
    }
  }
}
```

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