shadcn-ui▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Complete guide to building accessible React components with shadcn/ui, Radix UI, and Tailwind CSS.
- ›Install and configure components via CLI ( npx shadcn@latest add ), then customize directly in your project since you own the code
- ›Covers 10+ core components: buttons, inputs, forms with Zod validation, cards, dialogs, dropdowns, sheets, tables, toasts, and charts built on Recharts
- ›Full Next.js App Router integration with Server Components, form handling, and metadata support; all compo
shadcn/ui Component Patterns
Build accessible, customizable UI components with shadcn/ui, Radix UI, and Tailwind CSS.
Overview
- Components are copied into your project — you own and customize the code
- Built on Radix UI primitives for full accessibility
- Styled with Tailwind CSS and CSS variables for theming
- CLI-based installation:
npx shadcn@latest add <component>
When to Use
Activate when user requests involve:
- "Set up shadcn/ui", "initialize shadcn", "add shadcn components"
- "Install button/input/form/dialog/card/select/toast/table/chart"
- "React Hook Form", "Zod validation", "form with validation"
- "accessible components", "Radix UI", "Tailwind theme"
- "shadcn button", "shadcn dialog", "shadcn sheet", "shadcn table"
- "dark mode", "CSS variables", "custom theme"
- "charts with Recharts", "bar chart", "line chart", "pie chart"
Quick Reference
Available Components
| Component | Install Command | Description |
|---|---|---|
button |
npx shadcn@latest add button |
Variants: default, destructive, outline, secondary, ghost, link |
input |
npx shadcn@latest add input |
Text input field |
form |
npx shadcn@latest add form |
React Hook Form integration with validation |
card |
npx shadcn@latest add card |
Container with header, content, footer |
dialog |
npx shadcn@latest add dialog |
Modal overlay |
sheet |
npx shadcn@latest add sheet |
Slide-over panel (top/right/bottom/left) |
select |
npx shadcn@latest add select |
Dropdown select |
toast |
npx shadcn@latest add toast |
Notification toasts |
table |
npx shadcn@latest add table |
Data table |
menubar |
npx shadcn@latest add menubar |
Desktop-style menubar |
chart |
npx shadcn@latest add chart |
Recharts wrapper with theming |
textarea |
npx shadcn@latest add textarea |
Multi-line text input |
checkbox |
npx shadcn@latest add checkbox |
Checkbox input |
label |
npx shadcn@latest add label |
Accessible form label |
Instructions
Initialize Project
# New Next.js project
npx create-next-app@latest my-app --typescript --tailwind --eslint --app
cd my-app
npx shadcn@latest init
# Existing project
npm install tailwindcss-animate class-variance-authority clsx tailwind-merge lucide-react
npx shadcn@latest init
# Install components
npx shadcn@latest add button input form card dialog select toast
Basic Component Usage
// Button with variants and sizes
import { Button } from "@/components/ui/button"
<Button variant="default">Default</Button>
<Button variant="destructive" size="sm">Delete</Button>
<Button variant="outline" disabled>Loading...</Button>
Form with Zod Validation
"use client"
import { zodResolver } from "@hookform/resolvers/zod"
import { useForm } from "react-hook-form"
import { z } from "zod"
import { Button } from "@/components/ui/button"
import { Form, FormControl, FormField, FormItem, FormLabel, FormMessage } from "@/components/ui/form"
import { Input } from "@/components/ui/input"
const formSchema = z.object({
email: z.string().email("Invalid email"),
password: z.string().min(8, "Password must be at least 8 characters"),
})
export function LoginForm() {
const form = useForm<z.infer<typeof formSchema>>({
resolver: zodResolver(formSchema),
defaultValues: { email: "", password: "" },
})
return (
<Form {...form}>
<form onSubmit={form.handleSubmit(console.log)} className="space-y-4">
<FormField name="email" control={form.control} render={({ field }) => (
<FormItem>
<FormLabel>Email</FormLabel>
<FormControl><Input type="email" {...field} /></FormControl>
<FormMessage />
</FormItem>
)} />
<FormField name="password" control={form.control} render={({ field }) => (
<FormItem>
<FormLabel>Password</FormLabel>
<FormControl><Input type="password" {...field} /></FormControl>
<FormMessage />
</FormItem>
)} />
<Button type="submit">Login</Button>
</form>
How to use shadcn-ui on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add shadcn-ui
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches shadcn-ui from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate shadcn-ui. Access the skill through slash commands (e.g., /shadcn-ui) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★30 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
We added shadcn-ui from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Omar Desai· Dec 8, 2024
Useful defaults in shadcn-ui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Shikha Mishra· Dec 4, 2024
I recommend shadcn-ui for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aarav Haddad· Nov 27, 2024
I recommend shadcn-ui for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Valentina Mehta· Nov 27, 2024
Solid pick for teams standardizing on skills: shadcn-ui is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 23, 2024
Useful defaults in shadcn-ui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Liu· Oct 18, 2024
shadcn-ui reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★William Kim· Oct 18, 2024
We added shadcn-ui from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Oct 14, 2024
shadcn-ui has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Isabella Taylor· Sep 25, 2024
Registry listing for shadcn-ui matched our evaluation — installs cleanly and behaves as described in the markdown.
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