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React Component Library: Setup with Storybook Documentation

Coding Frontend Development Advanced 🤖 ChatGPT 👁 1 views

📝 The Prompt

Help me set up a React component library with Storybook documentation from scratch. I need: 1. PROJECT SETUP: - Folder structure for a component library - Package.json configuration (dependencies, scripts, exports) - TypeScript configuration - CSS/styling approach: [CSS Modules/styled-components/Tailwind/other] 2. COMPONENT ARCHITECTURE: - Base component template with TypeScript props interface - Variant/size prop patterns - Compound component pattern (for complex components like Select) - forwardRef implementation for DOM access - Default props best practices 3. STORYBOOK CONFIGURATION: - .storybook/main.ts and preview.ts setup - Story format (Component Story Format 3.0) - Args and ArgTypes for interactive controls - Writing stories for: default, all variants, edge cases - Accessibility addon setup 4. FIRST 5 COMPONENTS TO BUILD: - Button (variants: primary/secondary/danger, sizes: sm/md/lg) - Input (with label, error state, helper text) - Modal/Dialog - Badge/Tag - Dropdown/Select 5. PUBLISHING: - Build configuration for npm publishing - Peer dependencies setup - Versioning strategy Tech stack: - React version: [18/17] - TypeScript: [yes/no] - Styling: [preference]

⚙️ Replace 4 placeholders: [CSS Modules/styled-components/Tailwind/other] [18/17] [yes/no] [preference]

🎯 What this prompt does

This AI prompt helps you react component library: setup with storybook documentation. Designed for frontend development workflows in the coding category, it's a advanced-level prompt you can copy directly into ChatGPT to get instant, production-ready results.

Use it when you need a advanced prompt that produces clear, actionable output without wrestling with trial-and-error wording. Just copy, customize, and run.

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🚀 How to use this prompt

  1. Copy the prompt using the 📋 button above.
  2. Open ChatGPT (or Claude, Gemini, Perplexity, or your preferred LLM).
  3. Paste the prompt into a new chat. Replace 4 bracketed placeholders ([CSS Modules/styled-components/Tailwind/other] [18/17] [yes/no] ) with your own details.
  4. Run the prompt and review the AI's response. Most outputs are usable immediately.
  5. Iterate if needed — if the tone, length, or structure isn't quite right, reply with "make it shorter", "use bullet points", or "make it more formal" and the AI will refine it.

💡 Tips for better results

  • Replace the bracketed placeholders ([CSS Modules/styled-components/Tailwind/other], [18/17], [yes/no], [preference]) with your own specifics before sending.
  • If the first output isn't quite right, ask the AI to refine, rewrite, or add more detail — iteration is key.
  • For long outputs, ask for a section at a time (e.g. 'start with the introduction only') to keep quality high.
  • Combine this with other coding prompts to build an end-to-end workflow.
  • Save your favorite variations — small wording tweaks often produce noticeably different results.
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✨ What you'll get

When you run this prompt, expect ChatGPT to return:

  • A directly usable frontend development output tailored to the details you provided
  • Clear structure (headings, bullets, or numbered sections) that you can drop into your workflow
  • Content that matches your specified tone and context
  • Results in under 30 seconds — no manual drafting required

Need a different angle? Just ask follow-up questions. The AI will adjust without you starting over.

🔄 3 variations to try

1

Make it more formal

Add "Use a formal, professional tone suitable for enterprise clients" at the start of the prompt.

2

Ask for multiple options

Append "Give me 5 alternative versions, each with a different angle or approach." after the main instruction.

3

Request structured output

Add "Return the response as a markdown table (or bullet list, or JSON)" so you can paste the result directly into your docs or code.

🏷 Tags

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