# onUI

> Use this tool when you need to streamline your UI design process by annotating elements, drawing regions, and refining your interface. OnUI solves problems of cumbersome UI design and collaboration by providing a intuitive interface for inputting design requirements and outputting cleaner, more refined UI designs. It is ideal for use cases where rapid UI prototyping and iteration are necessary.

Canonical page: https://skillsregistry.net/skills/onllm-dev-onui  
JSON: https://api.skillsregistry.net/v1/skills/onllm-dev-onui

## Description

Annotate elements, draw regions, and ship cleaner UI faster.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/agrch1u5im)
- **Repository:** <https://github.com/onllm-dev/onUI>

## 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": "onllm-dev-onui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/onllm-dev-onui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/onllm-dev-onui/pull`

---
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