# GenicUI

> GenicUI — vaah-ai-genicui. Use this tool when you need to integrate AI agents with your user interface, enabling them to interact and control UI elements seamlessly. GenicUI solves the problem of bridging the gap between AI and UI, allowing for automated interactions and testing. It takes in AI agent inputs and outputs UI control signals, making it ideal for use cases like automated testing and AI-driven UI automation.

Canonical page: https://skillsregistry.net/skills/vaah-ai-genicui  
JSON: https://api.skillsregistry.net/v1/skills/vaah-ai-genicui

## Description

The protocol that lets AI agents use your UI.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/vaah-ai/GenicUI)

## 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": "vaah-ai-genicui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vaah-ai-genicui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vaah-ai-genicui/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