# Rakit UI AI

> Use this tool when you need to generate and visually select UI component designs based on natural language prompts or manual HTML input, solving problems such as streamlining design workflows and enhancing user experience. It takes in natural language prompts or HTML code as input and outputs multiple design options in a browser for visual selection. Ideal for use cases where AI-driven design generation and rapid prototyping are required.

Canonical page: https://skillsregistry.net/skills/madebyaris-rakitui-ai  
JSON: https://api.skillsregistry.net/v1/skills/madebyaris-rakitui-ai

## Description

Enables AI assistants to present multiple UI component designs in a browser for visual selection, with AI-powered design generation using MiniMax-M2.1 from natural language prompts or manual HTML input.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ps722awt81)
- **Repository:** <https://github.com/madebyaris/rakitui-ai>

## 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": "madebyaris-rakitui-ai"
    }
  }
}
```

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