# NiceGUI

> Use this tool when you need to streamline development with the NiceGUI Python UI framework, as it solves problems related to code quality, documentation, and common issues through static analysis, automated fixes, and documentation guidance. It takes in NiceGUI code and outputs corrected code, documentation search results, and starter component patterns. Ideal for use during local development, debugging, and testing of NiceGUI applications.

Canonical page: https://skillsregistry.net/skills/start-trek-nicegui  
JSON: https://api.skillsregistry.net/v1/skills/start-trek-nicegui

## Description

Delivers local development assistance for the NiceGUI Python UI framework through documentation guidance, static code analysis, and automated fixes. Includes tools for listing and searching bundled documentation topics covering layout, async tasks, styling, dialogs, state management, forms, and testing. Offers deterministic code corrections for common NiceGUI issues and generates starter component patterns.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/start-trek-nicegui)
- **Repository:** <https://github.com/start-trek/nicegui-mcp>

## 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": "start-trek-nicegui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/start-trek-nicegui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/start-trek-nicegui/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