React Component Generator logo

React Component Generator

Community
einverne
react-component-generator

生成符合项目规范的 React 组件。当用户要求创建组件、新建 React 组件或生成组件文件时使用

Overview

Publishereinverne
Repositorydotfiles
Skill namereact-component-generator
Stars
121
Forks
24
Bundled files
Instructions only
LicenseGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by einverne on GitHub. Read the source before you install it.

Installation

Install the React Component Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/einverne/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/skills/react-component-generator .claude/skills/react-component-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Component Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads React Component Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so React Component Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

React 组件生成器

组件规范

项目使用以下约定:

  • TypeScript + React
  • 函数式组件 + Hooks
  • CSS Modules 样式
  • 完整的 JSDoc 注释
  • 配套的测试文件

生成流程

  1. 确认组件信息

    • 组件名称(PascalCase)
    • 组件类型(基础组件、容器组件、页面组件)
    • 所需 props
  2. 创建文件结构

    src/components/{ComponentName}/
    ├── index.tsx
    ├── {ComponentName}.module.css
    └── {ComponentName}.test.tsx
  3. 生成组件文件

index.tsx 模板:

typescript
import React from 'react';
import styles from './{ComponentName}.module.css';

interface {ComponentName}Props {
  // 定义 props 类型
}

/**
 * {组件描述}
 * @param props - 组件属性
 */
export const {ComponentName}: React.FC<{ComponentName}Props> = (props) => {
  return (
    <div className={styles.container}>
      {/* 组件内容 */}
    </div>
  );
};
  1. 生成样式文件

{ComponentName}.module.css 模板:

css
.container {
  /* 组件样式 */
}
  1. 生成测试文件

{ComponentName}.test.tsx 模板:

typescript
import { render, screen } from '@testing-library/react';
import { {ComponentName} } from './index';

describe('{ComponentName}', () => {
  it('renders correctly', () => {
    render(<{ComponentName} />);
    // 添加断言
  });
});

质量检查

生成后自动运行:

  1. TypeScript 类型检查:npm run type-check
  2. ESLint 检查:npm run lint
  3. 测试:npm test -- {ComponentName}

如有错误,显示错误信息并提供修复建议。

Frequently asked questions

What does the React Component Generator AI skill do?

生成符合项目规范的 React 组件。当用户要求创建组件、新建 React 组件或生成组件文件时使用

Why use React Component Generator on TypingMind?

Because you install it once and use it with any model. React Component Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install React Component Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/einverne/dotfiles/tree/master/skills/react-component-generator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use React Component Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with React Component Generator?

As many as you like. As long as a model supports skills, you can use React Component Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the React Component Generator AI skill free?

Yes. It is published on GitHub by einverne under the GPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇