# pov

> Use this tool when you need to interact with desktop environments, particularly on Windows platforms, to automate tasks such as capturing screenshots, simulating user input, and managing windows. It solves problems related to automating graphical user interface (GUI) interactions, testing, and remote control. The tool takes input commands and outputs controlled desktop actions via an MCP server interface.

Canonical page: https://skillsregistry.net/skills/empezarcero-pov  
JSON: https://api.skillsregistry.net/v1/skills/empezarcero-pov

## Description

Enables LLM agents to capture screenshots, control mouse/keyboard, and manage windows on desktop platforms, primarily Windows, via an MCP server.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ihamhilzxk)
- **Repository:** <https://github.com/empezarcero/pov>

## 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": "empezarcero-pov"
    }
  }
}
```

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