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frontend-patterns

Frontend-Entwicklungsmuster für React, Next.js, State-Management, Performance-Optimierung und UI-Best Practices. Verwenden beim Erstellen oder Überprüfen von React- oder Next.js-Komponenten, State oder Render-Performance.

Was ist frontend-patterns?

Dieses Skill bietet eine umfassende Sammlung moderner Frontend-Entwicklungsmuster, die speziell für React- und Next.js-Anwendungen optimiert sind. Es deckt bewährte Komponentenmuster wie Komposition, Compound Components und Render Props ab, sowie Custom Hooks für State-Management, asynchrones Datenladen und Debouncing. Darüber hinaus enthält es detaillierte Anleitungen zur Performance-Optimierung, einschließlich Memoization, Code-Splitting und Virtualisierung für lange Listen. Das Skill unterstützt auch Formularverarbeitung mit Validierung, Fehlergrenzen (Error Boundaries), Animationen mit Framer Motion und Barrierefreiheitsmuster wie Tastatur-Navigation. Es eignet sich ideal für Entwickler, die qualitativ hochwertige, skalierbare und performante Benutzeroberflächen mit React, Next.js und zugehörigen Bibliotheken wie Zustand, TanStack Query und Framer Motion erstellen. Die bereitgestellten Codebeispiele sind direkt in Projekten einsetzbar.

Funktioniert mit~Claude Code~Codex CLI~Cursor
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Dokumentation

Frontend-Entwicklungsmuster (Frontend Development Patterns)

Moderne Frontend-Muster für React, Next.js und performante Benutzeroberflächen.

Wann aktivieren

  • Erstellen von React-Komponenten (Komposition, Props, Rendering)
  • Verwalten von State (useState, useReducer, Zustand, Context)
  • Implementieren von Datenabruf (SWR, React Query, Server-Komponenten)
  • Optimieren der Leistung (Memoization, Virtualisierung, Code-Splitting)
  • Arbeiten mit Formularen (Validierung, kontrollierte Eingaben, Zod-Schemas)
  • Umgang mit clientseitigem Routing und Navigation
  • Erstellen von zugänglichen, responsiven UI-Mustern

Komponentenmuster (Component Patterns)

Komposition statt Vererbung (Composition Over Inheritance)

// RICHTIG: GUT: Komponentenkomposition
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>
}

// Verwendung
<Card>
  <CardHeader>Titel</CardHeader>
  <CardBody>Inhalt</CardBody>
</Card>

Zusammengesetzte Komponenten (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 muss innerhalb von Tabs verwendet werden')

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

// Verwendung
<Tabs defaultTab="overview">
  <TabList>
    <Tab id="overview">Übersicht</Tab>
    <Tab id="details">Details</Tab>
  </TabList>
</Tabs>

Render-Props-Muster (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)}</>
}

// Verwendung
<DataLoader<Market[]> url="/api/markets">
  {(markets, loading, error) => {
    if (loading) return <Spinner />
    if (error) return <Error error={error} />
    return <MarketList markets={markets!} />
  }}
</DataLoader>

Muster für benutzerdefinierte Hooks (Custom Hooks Patterns)

State-Management-Hook

export function useToggle(initialValue = false): [boolean, () => void] {
  const [value, setValue] = useState(initialValue)

  const toggle = useCallback(() => {
    setValue(v => !v)
  }, [])

  return [value, toggle]
}

// Verwendung
const [isOpen, toggleOpen] = useToggle()

Asynchroner Datenabruf-Hook

interface UseQueryOptions<T> {
  onSuccess?: (data: T) => void
  onError?: (error: Error) => void
  enabled?: boolean
}

export function useQuery<T>(
  key: string,
  fetcher: () => Promise<T>,
  options?: UseQueryOptions<T>
) {
  const [data, setData] = useState<T | null>(null)
  const [error, setError] = useState<Error | null>(null)
  const [loading, setLoading] = useState(false)

  // Behalte den aktuellsten fetcher/options in refs, damit refetch referenziell
  // stabil bleibt, auch wenn Aufrufer Inline-Funktionen und Objektliterale übergeben.
  // Ohne dies erzeugt jeder Render einen neuen refetch, und der Effekt unten
  // wird nach jeder Statusaktualisierung erneut ausgeführt - eine Endlos-Abruf-Schleife.
  const fetcherRef = useRef(fetcher)
  const optionsRef = useRef(options)
  useEffect(() => {
    fetcherRef.current = fetcher
    optionsRef.current = options
  })

  const refetch = useCallback(async () => {
    setLoading(true)
    setError(null)

    try {
      const result = await fetcherRef.current()
      setData(result)
      optionsRef.current?.onSuccess?.(result)
    } catch (err) {
      const error = err as Error
      setError(error)
      optionsRef.current?.onError?.(error)
    } finally {
      setLoading(false)
    }
  }, [])

  const enabled = options?.enabled !== false

  useEffect(() => {
    if (enabled) {
      refetch()
    }
  }, [key, enabled, refetch])

  return { data, error, loading, refetch }
}

// Verwendung
const { data: markets, loading, error, refetch } = useQuery(
  'markets',
  () => fetch('/api/markets').then(r => r.json()),
  {
    onSuccess: data => console.log('Abgerufen', data.length, 'Märkte'),
    onError: err => console.error('Fehlgeschlagen:', err)
  }
)

Debounce-Hook

export function useDebounce<T>(value: T, delay: number): T {
  const [debouncedValue, setDebouncedValue] = useState<T>(value)

  useEffect(() => {
    const handler = setTimeout(() => {
      setDebouncedValue(value)
    }, delay)

    return () => clearTimeout(handler)
  }, [value, delay])

  return debouncedValue
}

// Verwendung
const [searchQuery, setSearchQuery] = useState('')
const debouncedQuery = useDebounce(searchQuery, 500)

useEffect(() => {
  if (debouncedQuery) {
    performSearch(debouncedQuery)
  }
}, [debouncedQuery])

Muster für State-Management (State Management Patterns)

Context + Reducer-Muster (Context + Reducer Pattern)

interface State {
  markets: Market[]
  selectedMarket: Market | null
  loading: boolean
}

type Action =
  | { type: 'SET_MARKETS'; payload: Market[] }
  | { type: 'SELECT_MARKET'; payload: Market }
  | { type: 'SET_LOADING'; payload: boolean }

function reducer(state: State, action: Action): State {
  switch (action.type) {
    case 'SET_MARKETS':
      return { ...state, markets: action.payload }
    case 'SELECT_MARKET':
      return { ...state, selectedMarket: action.payload }
    case 'SET_LOADING':
      return { ...state, loading: action.payload }
    default:
      return state
  }
}

const MarketContext = createContext<{
  state: State
  dispatch: Dispatch<Action>
} | undefined>(undefined)

export function MarketProvider({ children }: { children: React.ReactNode }) {
  const [state, dispatch] = useReducer(reducer, {
    markets: [],
    selectedMarket: null,
    loading: false
  })

  return (
    <MarketContext.Provider value={{ state, dispatch }}>
      {children}
    </MarketContext.Provider>
  )
}

export function useMarkets() {
  const context = useContext(MarketContext)
  if (!context) throw new Error('useMarkets muss innerhalb von MarketProvider verwendet werden')
  return context
}

Leistungsoptimierung (Performance Optimization)

Memoization

// RICHTIG: useMemo für teure Berechnungen
// Vor dem Sortieren kopieren - Array.prototype.sort mutiert direkt
const sortedMarkets = useMemo(() => {
  return [...markets].sort((a, b) => b.volume - a.volume)
}, [markets])

// RICHTIG: useCallback für Funktionen, die an Kinder übergeben werden
const handleSearch = useCallback((query: string) => {
  setSearchQuery(query)
}, [])

// RICHTIG: React.memo für reine Komponenten
export const MarketCard = React.memo<MarketCardProps>(({ market }) => {
  return (
    <div className="market-card">
      <h3>{market.name}</h3>
      <p>{market.description}</p>
    </div>
  )
})

Code-Splitting & Lazy Loading

import { lazy, Suspense } from 'react'

// RICHTIG: Lazy Load für schwere Komponenten
const HeavyChart = lazy(() => import('./HeavyChart'))
const ThreeJsBackground = lazy(() => import('./ThreeJsBackground'))

export function Dashboard() {
  return (
    <div>
      <Suspense fallback={<ChartSkeleton />}>
        <HeavyChart data={data} />
      </Suspense>

      <Suspense fallback={null}>
        <ThreeJsBackground />
      </Suspense>
    </div>
  )
}

Virtualisierung für lange Listen (Virtualization for Long Lists)

import { useVirtualizer } from '@tanstack/react-virtual'

export function VirtualMarketList({ markets }: { markets: Market[] }) {
  const parentRef = useRef<HTMLDivElement>(null)

  const virtualizer = useVirtualizer({
    count: markets.length,
    getScrollElement: () => parentRef.current,
    estimateSize: () => 100,  // Geschätzte Zeilenhöhe
    overscan: 5  // Zusätzliche Elemente zum Rendern
  })

  return (
    <div ref={parentRef} style={{ height: '600px', overflow: 'auto' }}>
      <div
        style={{
          height: `${virtualizer.getTotalSize()}px`,
          position: 'relative'
        }}
      >
        {virtualizer.getVirtualItems().map(virtualRow => (
          <div
            key={virtualRow.index}
            style={{
              position: 'absolute',
              top: 0,
              left: 0,
              width: '100%',
              height: `${virtualRow.size}px`,
              transform: `translateY(${virtualRow.start}px)`
            }}
          >
            <MarketCard market={markets[virtualRow.index]} />
          </div>
        ))}
      </div>
    </div>
  )
}

Muster für Formularverarbeitung (Form Handling Patterns)

Kontrolliertes Formular mit Validierung (Controlled Form with Validation)

interface FormData {
  name: string
  description: string
  endDate: string
}

interface FormErrors {
  name?: string
  description?: string
  endDate?: string
}

export function CreateMarketForm() {
  const [formData, setFormData] = useState<FormData>({
    name: '',
    description: '',
    endDate: ''
  })

  const [errors, setErrors] = useState<FormErrors>({}

  const validate = (): boolean => {
    const newErrors: FormErrors = {}

    if (!formData.name.trim()) {
      newErrors.name = 'Name ist erforderlich'
    } else if (formData.name.length > 200) {
      newErrors.name = 'Name darf maximal 200 Zeichen lang sein'
    }

    if (!formData.description.trim()) {
      newErrors.description = 'Beschreibung ist erforderlich'
    }

    if (!formData.endDate) {
      newErrors.endDate = 'Enddatum ist erforderlich'
    }

    setErrors(newErrors)
    return Object.keys(newErrors).length === 0
  }

  const handleSubmit = async (e: React.FormEvent) => {
    e.preventDefault()

    if (!validate()) return

    try {
      await createMarket(formData)
      // Erfolgsbehandlung
    } catch (error) {
      // Fehlerbehandlung
    }
  }

  return (
    <form onSubmit={handleSubmit}>
      <input
        value={formData.name}
        onChange={e => setFormData(prev => ({ ...prev, name: e.target.value }))}
        placeholder="Marktname"
      />
      {errors.name && <span className="error">{errors.name}</span>}

      {/* Weitere Felder */}

      <button type="submit">Markt erstellen</button>
    </form>
  )
}

Fehlergrenzen-Muster (Error Boundary Pattern)

interface ErrorBoundaryState {
  hasError: boolean
  error: Error | null
}

export class ErrorBoundary extends React.Component<
  { children: React.ReactNode },
  ErrorBoundaryState
> {
  state: ErrorBoundaryState = {
    hasError: false,
    error: null
  }

  static getDerivedStateFromError(error: Error): ErrorBoundaryState {
    return { hasError: true, error }
  }

  componentDidCatch(error: Error, errorInfo: React.ErrorInfo) {
    console.error('Fehlergrenze gefangen:', error, errorInfo)
  }

  render() {
    if (this.state.hasError) {
      return (
        <div className="error-fallback">
          <h2>Etwas ist schiefgelaufen</h2>
          <p>{this.state.error?.message}</p>
          <button onClick={() => this.setState({ hasError: false })}>
            Erneut versuchen
          </button>
        </div>
      )
    }

    return this.props.children
  }
}

// Verwendung
<ErrorBoundary>
  <App />
</ErrorBoundary>

Animationsmuster (Animation Patterns)

Framer Motion Animationen

import { motion, AnimatePresence } from 'framer-motion'

// RICHTIG: Listenanimationen
export function AnimatedMarketList({ markets }: { markets: Market[] }) {
  return (
    <AnimatePresence>
      {markets.map(market => (
        <motion.div
          key={market.id}
          initial={{ opacity: 0, y: 20 }}
          animate={{ opacity: 1, y: 0 }}
          exit={{ opacity: 0, y: -20 }}
          transition={{ duration: 0.3 }}
        >
          <MarketCard market={market} />
        </motion.div>
      ))}
    </AnimatePresence>
  )
}

// RICHTIG: Modal-Animationen
export function Modal({ isOpen, onClose, children }: ModalProps) {
  return (
    <AnimatePresence>
      {isOpen && (
        <>
          <motion.div
            className="modal-overlay"
            initial={{ opacity: 0 }}
            animate={{ opacity: 1 }}
            exit={{ opacity: 0 }}
            onClick={onClose}
          />
          <motion.div
            className="modal-content"
            initial={{ opacity: 0, scale: 0.9, y: 20 }}
            animate={{ opacity: 1, scale: 1, y: 0 }}
            exit={{ opacity: 0, scale: 0.9, y: 20 }}
          >
            {children}
          </motion.div>
        </>
      )}
    </AnimatePresence>
  )
}

Barrierefreiheitsmuster (Accessibility Patterns)

Tastaturnavigation (Keyboard Navigation)

export function Dropdown({ options, onSelect }: DropdownProps) {
  const [isOpen, setIsOpen] = useState(false)
  const [activeIndex, setActiveIndex] = useState(0)

  const handleKeyDown = (e: React.KeyboardEvent) => {
    switch (e.key) {
      case 'ArrowDown':
        e.preventDefault()
        setActiveIndex(i => Math.min(i + 1, options.length - 1))
        break
      case 'ArrowUp':
        e.preventDefault()
        setActiveIndex(i => Math.max(i - 1, 0))
        break
      case 'Enter':
        e.preventDefault()
        onSelect(options[activeIndex])
        break
      case 'Escape':
        e.preventDefault()
        setIsOpen(false)
        break
    }
  }

  // ... weitere Implementierung
}

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

Verwandte Skills