# Orbination-AI-Desktop-Vision-Control

> Orbination-AI-Desktop-Vision-Control — pallid-pilotballoon266-orbination-ai-desktop-vision-control. Use this tool when you need to automate interactions with Windows applications, such as data entry or workflow automation, by leveraging AI-powered screen reading and UI control. It solves problems like automating repetitive tasks, integrating with legacy systems, and enhancing accessibility. The tool takes screen data as input and outputs automated actions, such as clicks and keystrokes, using OCR and window detection capabilities.

Canonical page: https://skillsregistry.net/skills/pallid-pilotballoon266-orbination-ai-desktop-vision-control  
JSON: https://api.skillsregistry.net/v1/skills/pallid-pilotballoon266-orbination-ai-desktop-vision-control

## Description

Enable AI to interact with Windows apps by viewing screens, reading UI, clicking, typing, and automating tasks with OCR and window detection.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** productivity
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Pallid-pilotballoon266/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": "pallid-pilotballoon266-orbination-ai-desktop-vision-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pallid-pilotballoon266-orbination-ai-desktop-vision-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pallid-pilotballoon266-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