# UX/UI Tools for React + Material-UI

> Use this tool when you need to streamline your React development process with automated UX/UI design best practices, applying Material-UI patterns and responsive design to create user-friendly interfaces. It solves problems of inconsistent design, usability issues, and time-consuming manual styling by providing natural language commands for AI-powered design application. Ideal for use when building responsive, intuitive React applications with a focus on user experience.

Canonical page: https://skillsregistry.net/skills/marcusviniciusbarcelos-uiux-tools-react-mui  
JSON: https://api.skillsregistry.net/v1/skills/marcusviniciusbarcelos-uiux-tools-react-mui

## Description

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f2q2mfz863)
- **Repository:** <https://github.com/MarcusViniciusBarcelos/uiux-tools-react-mui>

## 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": "marcusviniciusbarcelos-uiux-tools-react-mui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcusviniciusbarcelos-uiux-tools-react-mui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcusviniciusbarcelos-uiux-tools-react-mui/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