# Capture Screen

> Use this tool when you need to capture screenshots of specific windows, regions, or entire desktops on Windows systems. It solves problems related to automated testing, documentation, and image processing by providing flexible screenshot capture options and automatic artifact prevention. The tool accepts parameters for capture type and region, and outputs high-quality images, making it ideal for use cases requiring accurate visual representation.

Canonical page: https://skillsregistry.net/skills/ochtum-capture-screen  
JSON: https://api.skillsregistry.net/v1/skills/ochtum-capture-screen

## Description

Enables AI systems to capture screenshots on Windows, including full desktop, specific displays, defined regions, or the active window. Provides display enumeration, bulk image deletion with date filtering, and automatic Windows Terminal window hiding during capture to prevent overlay artifacts. Built with C# and .NET 10, distributed as a NuGet package.

## Trust

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

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ochtum-capture-screen)
- **Repository:** <https://github.com/ochtum/capturescreenmcp>

## 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": "ochtum-capture-screen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ochtum-capture-screen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ochtum-capture-screen/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