# Screen Capture

> Use this tool when you need to capture and record screenshots on Linux machines, especially in multi-monitor setups or when requiring timeline recording of frame sequences. It solves problems related to reliable image transfer and metadata retrieval, allowing for efficient delivery of large image payloads. The tool accepts region selections and outputs chunked image data, manifests, and ASCII previews, making it ideal for use cases involving remote monitoring, debugging, or documentation.

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

## Description

Captures screenshots on Linux machines with support for multi-monitor detection, region selection, and timeline recording of frame sequences. Includes a chunked session-based transfer system that breaks large image payloads into manageable pieces for reliable delivery, along with manifest-based metadata retrieval and ASCII preview generation for non-vision workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

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

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

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