# Orbination-AI-Desktop-Vision-Control

> Orbination-AI-Desktop-Vision-Control — amichail-1-orbination-ai-desktop-vision-control. Use this tool when you need to automate desktop interactions and provide AI assistants with visual capabilities. It solves problems such as automating repetitive tasks, extracting text from images, and controlling desktop applications, accepting inputs like images and text, and producing outputs like automated actions and extracted data. Ideal for use cases requiring robust desktop automation and OCR capabilities, such as data entry, testing, and workflow optimization.

Canonical page: https://skillsregistry.net/skills/amichail-1-orbination-ai-desktop-vision-control  
JSON: https://api.skillsregistry.net/v1/skills/amichail-1-orbination-ai-desktop-vision-control

## Description

Give AI assistants eyes and hands. Native Windows MCP server — UIAutomation, OCR with dark theme support, window occlusion detection, batch action sequencing, 45+ tools for full desktop control.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/amichail-1/Orbination-AI-Desktop-Vision-Control)

## 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": "amichail-1-orbination-ai-desktop-vision-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amichail-1-orbination-ai-desktop-vision-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amichail-1-orbination-ai-desktop-vision-control/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