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Production-ready Tailwind plugins: button systems, forms, cards, OKLCH color tokens, animations
A comprehensive collection of production-ready Tailwind CSS plugins for modern web development.
Comprehensive button system with variants, sizes, states, and accessibility features.
Advanced form controls with validation states and custom styling.
Flexible card components with layouts, shadows, and interactions.
Enhanced dark mode implementation with theme switching and persistence.
Advanced typography utilities with fluid scaling and text effects.
Rich animation utilities with keyframes, transitions, and effects.
Modern layout patterns including grids, flexbox, and containers.
Complete design system foundation with tokens and patterns.
WCAG-compliant utilities for screen readers and keyboard navigation.
Performance optimization utilities including PurgeCSS and critical CSS.
Install individual plugins:
npm install @skillstash/tailwind-button-components
npm install @skillstash/tailwind-form-controls
npm install @skillstash/tailwind-dark-mode-pro
Or install the entire collection:
npm install @skillstash/tailwindcss-plugins
Add plugins to your tailwind.config.js:
module.exports = {
plugins: [
require('@skillstash/tailwind-button-components'),
require('@skillstash/tailwind-form-controls'),
require('@skillstash/tailwind-dark-mode-pro'),
// Add more plugins as needed
]
}
Each plugin includes:
Each plugin includes special integrations for Claude Code:
plugin-name/
├── plugin.json # Plugin metadata
├── README.md # Documentation
├── CHANGELOG.md # Version history
├── .claude/
│ ├── commands/ # Slash commands
│ ├── skills/ # Auto-loading skills
│ └── agents/ # AI agents
└── examples/ # Usage examples
Use our plugin template:
npx create-tailwind-plugin my-plugin
All plugins are optimized for:
We welcome contributions! Please see our Contributing Guide for details.
MIT License - see individual plugin LICENSE files for details.
Made with ❤️ by the SkillStash Team
Route Claude Code traffic to any of 17 provider backends including free or local models
ML engineering — model training, deployment, MLOps, monitoring
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