frontend-patterns

affaan-m/everything-claude-code · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/affaan-m/everything-claude-code --skill frontend-patterns
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summary

React and Next.js patterns for component composition, state management, performance optimization, and accessible UI.

  • Covers component patterns including composition, compound components, and render props for flexible, reusable UI architecture
  • Provides custom hooks for state management, async data fetching, debouncing, and form handling with validation
  • Includes performance techniques: memoization, code splitting with lazy loading, and virtualization for large lists
  • Demonstrates err
skill.md

Frontend Development Patterns

Modern frontend patterns for React, Next.js, and performant user interfaces.

When to Activate

  • Building React components (composition, props, rendering)
  • Managing state (useState, useReducer, Zustand, Context)
  • Implementing data fetching (SWR, React Query, server components)
  • Optimizing performance (memoization, virtualization, code splitting)
  • Working with forms (validation, controlled inputs, Zod schemas)
  • Handling client-side routing and navigation
  • Building accessible, responsive UI patterns

Component Patterns

Composition Over Inheritance

// PASS: GOOD: Component composition
interface CardProps {
  children: React.ReactNode
  variant?: 'default' | 'outlined'
}

export function Card({ children, variant = 'default' }: CardProps) {
  return <div className={`card card-${variant}`}>{children}</div>
}

export function CardHeader({ children }: { children: React.ReactNode }) {
  return <div className="card-header">{children}</div>
}

export function CardBody({ children }: { children: React.ReactNode }) {
  return <div className="card-body">{children}</div>
}

// Usage
<Card>
  <CardHeader>Title</CardHeader>
  <CardBody>Content</CardBody>
</Card>

Compound Components

interface TabsContextValue {
  activeTab: string
  setActiveTab: (tab: string) => void
}

const TabsContext = createContext<TabsContextValue | undefined>(undefined)

export function Tabs({ children, defaultTab }: {
  children: React.ReactNode
  defaultTab: string
}) {
  const [activeTab, setActiveTab] = useState(defaultTab)

  return (
    <TabsContext.Provider value={{ activeTab, setActiveTab }}>
      {children}
    </TabsContext.Provider>
  )
}

export function TabList({ children }: { children: React.ReactNode }) {
  return <div className="tab-list">{children}</div>
}

export function Tab({ id, children }: { id: string, children: React.ReactNode }) {
  const context = useContext(TabsContext)
  if (!context) throw new Error('Tab must be used within Tabs')

  return (
    <button
      className={context.activeTab === id ? 'active' : ''}
      onClick={() => context.setActiveTab(id)}
    >
      {children}
    </button>
  )
}

// Usage
<Tabs defaultTab="overview">
  <TabList>
    <Tab id="overview">Overview</Tab>
    <Tab id="details">Details</Tab>
  </TabList>
</Tabs>

Render Props Pattern

interface DataLoaderProps<T> {
  url: string
  children: (data: T | null, loading: boolean, error: Error | null) => React.ReactNode
}

export function DataLoader<T>({ url, children }: DataLoaderProps<T>) {
  const [data, setData] = useState<T | null>(null)
  const [loading, setLoading] = useState(true)
  const [error, setError] = useState<Error | null>(null)

  useEffect(() => {
    fetch(url)
      .then(res => res.json())
      .then(setData)
      .catch(setError)
      .finally(() => setLoading(false))
  }, [url])

  return <>{children(data, loading, error)}</>
}

// Usage
<DataLoader<Market[]> url="/api/markets">
  {(markets, loading, error) => {
    if (loading) return <Spinner />
    if (error) return <Error error={error} />
    return 
how to use frontend-patterns

How to use frontend-patterns on Cursor

AI-first code editor with Composer

1

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 frontend-patterns
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/affaan-m/everything-claude-code --skill frontend-patterns

The skills CLI fetches frontend-patterns from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/frontend-patterns

Reload or restart Cursor to activate frontend-patterns. Access the skill through slash commands (e.g., /frontend-patterns) 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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.834 reviews
  • Michael Abebe· Dec 24, 2024

    We added frontend-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Fatima Iyer· Dec 16, 2024

    Registry listing for frontend-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Advait Perez· Nov 15, 2024

    frontend-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yusuf Abebe· Nov 7, 2024

    frontend-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yusuf Farah· Oct 26, 2024

    We added frontend-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Evelyn Bansal· Oct 6, 2024

    Registry listing for frontend-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Sep 13, 2024

    We added frontend-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Anika Nasser· Sep 1, 2024

    We added frontend-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chinedu Taylor· Aug 20, 2024

    frontend-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Aug 4, 2024

    frontend-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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