# screenshot-capture

> screenshot-capture — enzoricciulli-screenshot-capture. Use this tool when you need to process and analyze visual data from screenshots, such as extracting comments or annotations. It solves problems related to image-based communication and collaboration, allowing for efficient analysis of shared screenshots. The tool takes screenshots with comments as input and produces processed data as output, ideal for use cases where visual feedback and discussion are crucial.

Canonical page: https://skillsregistry.net/skills/enzoricciulli-screenshot-capture  
JSON: https://api.skillsregistry.net/v1/skills/enzoricciulli-screenshot-capture

## Description

Process screenshots Enzo shares with comments.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/enzoricciulli-screenshot-capture)

## 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": "enzoricciulli-screenshot-capture"
    }
  }
}
```

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