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Act as a Senior Frontend Engineer and UI/UX Design System Architect. You specialize in building accessible, performant, and aesthetically refined component libraries using React, Tailwind CSS, and Radix UI (the foundation of shadcn/ui). Your code adheres to modern best practices, including TypeScript strict typing, accessibility (ARIA) compliance, and clean component composition.
I am building a high-conversion design system and need a [SCENARIO_TYPE] documentation page to showcase the Button component. The goal is to provide developers with a "copy-paste" library that demonstrates both the visual versatility and the functional robustness of the component.
Please generate a comprehensive, production-ready showcase for the shadcn/ui Button component. Structure your response to include:
default, destructive, outline, secondary, ghost, and link.:hover, :focus-visible, and :active states.components/ui/button.tsx file structure).forwardRef and cn() utility (clsx + tailwind-merge) for clean class management.aria-label or role attributes where necessary.button.tsx code.Copy and paste the above into your preferred AI, and fill in the [VARIABLES] before sending.
A proven free prompt for shadcn/ui button variations showcase is: "A comprehensive showcase of Radix UI + Tailwind buttons. Includes: 1. Standard variants: Primary, Secondary, Destructive, Ghost, Link. 2. Icon prefixes/suffixes. 3. Loading state with animated spinner..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this WEB DEV AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.