# ScreenPilot

> Use this tool when you need to automate interactions with your device's screen or create interactive educational experiences. ScreenPilot enables large language models (LLMs) to capture, click, type, and scroll, providing full control over device automation. Ideal for use cases requiring hands-free interaction, automated workflows, or interactive learning environments.

Canonical page: https://skillsregistry.net/skills/mtehabsim-screenpilot  
JSON: https://api.skillsregistry.net/v1/skills/mtehabsim-screenpilot

## Description

Enables LLMs to take full control of your device by providing screen automation tools for capturing, clicking, typing, and scrolling, ideal for automation and education.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dwoepp9r9k)
- **Repository:** <https://github.com/Mtehabsim/ScreenPilot>

## 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": "mtehabsim-screenpilot"
    }
  }
}
```

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