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react-native-patterns

React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.

react-native-patterns 是什么?

react-native-patterns is a Claude Code agent skill that react Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.

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React Native / Expo Patterns

Practical patterns for building production React Native apps with Expo. Covers navigation, state, data fetching, lists, styling, and native APIs. Pairs with the rules/react-native/ ruleset: rules say what to enforce, this skill shows how.

Libraries named below (NativeWind, Zustand/Jotai, TanStack Query) are common, well-established options shown for illustration — the patterns matter more than the specific package, and any equivalent works. Zod is used for validation to stay consistent with ECC's existing typescript/ rules.

These patterns assume the managed Expo workflow (Expo Router, EAS, expo-* modules) on the New Architecture (the default in recent Expo SDKs, mandatory from SDK 55+). They do NOT assume the browser DOM — React Native has no <div>, no URL bar, and no web data-fetching defaults.

When to Activate

Use this skill when:

  • Building or editing React Native / Expo screens, components, or navigation
  • Setting up routing with Expo Router (file-based app/ directory)
  • Deciding where state belongs (server cache vs client store vs route params vs form)
  • Wiring data fetching with TanStack Query and validating responses with Zod
  • Rendering long or heavy lists
  • Choosing or applying a styling approach (NativeWind or StyleSheet)
  • Accessing native device APIs (camera, location, notifications) or secure storage
  • Reviewing RN code for mobile-specific issues

Do NOT use the web/React-DOM patterns here — URL-as-state, <div>, and SWR-for-browser do not apply to React Native.

Core Concepts

Project structure (Expo Router)

File-based routing under app/. Keep route files thin: they read and validate params, then delegate to a screen component that lives in components/ or features/.

app/
  _layout.tsx          # root stack
  (tabs)/
    _layout.tsx        # tab navigator
    index.tsx          # Home
  user/[id].tsx        # dynamic route
components/
features/
  user/UserProfile.tsx

Navigation: validate route params

Deep links and dynamic routes deliver untrusted strings. Validate them with Zod before use.

// app/user/[id].tsx
import { useLocalSearchParams, router } from 'expo-router'
import { z } from 'zod'
import { UserProfile } from '@/features/user/UserProfile'

const Params = z.object({ id: z.string().uuid() })

export default function UserRoute() {
  const parsed = Params.safeParse(useLocalSearchParams())
  if (!parsed.success) {
    router.replace('/not-found')
    return null
  }
  return <UserProfile userId={parsed.data.id} />
}

State: keep concerns separate

Do not duplicate server data into a client store. Each concern has its own home.

ConcernCommon choices
Server state (remote data)a server-cache library (TanStack Query, SWR)
Client/UI statea lightweight store (Zustand, Jotai) or Context
Route/navigation stateExpo Router params
Form statea form library (e.g. React Hook Form) + schema validation
Secrets / tokensexpo-secure-store
Non-secret persistenceAsyncStorage / MMKV

Prefer local useState until state genuinely needs sharing.

Data fetching: a cache library + Zod

Use a server-cache library (TanStack Query, SWR) instead of fetch-in-useEffect. Validate at the boundary and infer types from the schema. Handle loading, error, and empty states explicitly. (Example uses TanStack Query.)

import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import { z } from 'zod'

const User = z.object({ id: z.string(), email: z.string().email() })
type User = z.infer<typeof User>

export function useUser(id: string) {
  return useQuery({
    queryKey: ['user', id],
    queryFn: async (): Promise<User> => User.parse(await api.getUser(id)),
  })
}

export function useUpdateEmail(id: string) {
  const qc = useQueryClient()
  return useMutation({
    mutationFn: (email: string) => api.updateEmail(id, email),
    onSuccess: () => qc.invalidateQueries({ queryKey: ['user', id] }),
  })
}

Lists: virtualize, never map a big array in a ScrollView

import { FlatList } from 'react-native'

<FlatList
  data={items}
  keyExtractor={(item) => item.id}
  renderItem={renderItem}          // memoized
  initialNumToRender={10}
  windowSize={5}
/>

Use FlashList (Shopify) for large or heterogeneous lists.

Styling: pick one system

StyleSheet.create() is the framework-native option; utility-class libraries (e.g. NativeWind) are a common alternative. Choose one and stay consistent. Never build style objects inline in JSX on hot paths.

// NativeWind
<View className="p-4 rounded-2xl bg-white">
  <Text className="text-base font-semibold">Hello</Text>
</View>

// StyleSheet
const styles = StyleSheet.create({ card: { padding: 16, borderRadius: 16, backgroundColor: '#fff' } })
<View style={styles.card}>...</View>

Native APIs: wrap in hooks, clean up effects

Keep Expo SDK calls and subscriptions inside use* hooks, not in JSX. Always clean up.

import { useEffect, useState } from 'react'
import * as Location from 'expo-location'

type LocationState =
  | { status: 'loading' }
  | { status: 'denied' }
  | { status: 'granted'; coords: Location.LocationObjectCoords }

export function useCurrentLocation() {
  // Track status, not just coords — so the UI can tell "still loading" apart
  // from "permission denied" and show an actionable message.
  const [state, setState] = useState<LocationState>({ status: 'loading' })

  useEffect(() => {
    let active = true
    ;(async () => {
      const { status } = await Location.requestForegroundPermissionsAsync()
      if (status !== 'granted') {
        if (active) setState({ status: 'denied' })
        return
      }
      const pos = await Location.getCurrentPositionAsync({})
      if (active) setState({ status: 'granted', coords: pos.coords })
    })()
    return () => { active = false }   // ignore stale result after unmount
  }, [])

  return state
}

Secure storage for tokens

import * as SecureStore from 'expo-secure-store'

await SecureStore.setItemAsync('auth_token', token)   // Keychain / Keystore
const token = await SecureStore.getItemAsync('auth_token')

Code Examples

A full screen: route → query → list → states

// app/(tabs)/orders.tsx
import { memo, useCallback } from 'react'
import { FlatList, Text, View } from 'react-native'
import { useQuery } from '@tanstack/react-query'
import { z } from 'zod'

const OrderSchema = z.object({ id: z.string(), total: z.number(), status: z.string() })
const OrdersSchema = z.array(OrderSchema)
type Order = z.infer<typeof OrderSchema>

function useOrders() {
  return useQuery({
    queryKey: ['orders'],
    queryFn: async () => OrdersSchema.parse(await api.listOrders()),
  })
}

// Memoized so its reference is stable across renders (see the lists guidance).
const OrderRow = memo(function OrderRow({ item }: { item: Order }) {
  return (
    <View className="px-4 py-3 border-b border-neutral-200">
      <Text className="font-medium">#{item.id}</Text>
      <Text className="text-neutral-500">{item.status} · ${item.total}</Text>
    </View>
  )
})

export default function OrdersScreen() {
  const { data, isLoading, isError, refetch, isRefetching } = useOrders()
  const renderItem = useCallback(({ item }: { item: Order }) => <OrderRow item={item} />, [])

  if (isLoading) return <Centered><Text>Loading…</Text></Centered>
  if (isError) return <Centered><Text accessibilityRole="alert">Could not load orders.</Text></Centered>
  if (!data?.length) return <Centered><Text>No orders yet.</Text></Centered>

  return (
    <FlatList
      data={data}
      keyExtractor={(o) => o.id}
      onRefresh={refetch}
      refreshing={isRefetching}
      renderItem={renderItem}
    />
  )
}

A form: React Hook Form + Zod resolver

import { useForm, Controller } from 'react-hook-form'
import { zodResolver } from '@hookform/resolvers/zod'
import { z } from 'zod'
import { TextInput, Button, Text } from 'react-native'

const Schema = z.object({ email: z.string().email('Invalid email') })
type FormValues = z.infer<typeof Schema>

export function EmailForm({ onSubmit }: { onSubmit: (v: FormValues) => void }) {
  const { control, handleSubmit, formState: { errors } } = useForm<FormValues>({
    resolver: zodResolver(Schema),
    defaultValues: { email: '' },
  })

  return (
    <>
      <Controller
        control={control}
        name="email"
        render={({ field: { value, onChange, onBlur } }) => (
          <TextInput
            value={value}
            onChangeText={onChange}
            onBlur={onBlur}
            autoCapitalize="none"
            keyboardType="email-address"
            accessibilityLabel="Email address"
          />
        )}
      />
      {errors.email && <Text accessibilityRole="alert">{errors.email.message}</Text>}
      <Button title="Save" onPress={handleSubmit(onSubmit)} />
    </>
  )
}

Anti-Patterns

// WRONG: large array mapped inside a ScrollView (no virtualization, janky, high memory)
<ScrollView>{items.map((i) => <Row key={i.id} item={i} />)}</ScrollView>
// RIGHT: FlatList / FlashList

// WRONG: server data copied into a client store (two sources of truth, stale data)
const useStore = create((set) => ({ users: [], setUsers: (u) => set({ users: u }) }))
useEffect(() => { getUsers().then(setUsers) }, [])
// RIGHT: useQuery owns server state; derive what you need

// WRONG: tokens in AsyncStorage (not encrypted)
await AsyncStorage.setItem('auth_token', token)
// RIGHT: expo-secure-store

// WRONG: trusting deep-link params
const { id } = useLocalSearchParams(); fetchUser(id)
// RIGHT: validate with Zod before use

// WRONG: inline style object recreated every render on a hot path
<View style={{ padding: 16, backgroundColor: '#fff' }} />
// RIGHT: StyleSheet.create at module scope, or NativeWind className

// WRONG: real secret shipped in the bundle
const STRIPE_SECRET = 'sk_live_...'
// RIGHT: keep privileged calls server-side; ship only public keys protected by backend rules

Best Practices

  • Keep route files thin; put logic in screen components and use* hooks.
  • Validate every external input (API responses, route params, push payloads) with Zod.
  • Let TanStack Query own server state; keep client stores small.
  • Always render loading, error, and empty states — never just a spinner with no fallback.
  • Virtualize lists; memoize renderItem; provide a stable keyExtractor.
  • Use react-native-reanimated for animation (UI thread); avoid heavy work on the JS thread.
  • Store tokens in expo-secure-store; never trust the client for authorization.
  • Respect safe areas, Dynamic Type, and accessibility roles/labels from the start.
  • Confirm New Architecture compatibility for every native dependency before release.

Related Skills

  • frontend-patterns — React/Next.js (web) patterns; useful for shared React concepts, but DOM-specific.
  • coding-standards — TypeScript/JavaScript idioms that apply to RN code.
  • tdd-workflow, e2e-testing — testing process (use Jest + React Native Testing Library, Maestro/Detox for RN).
  • security-review — general security checklist that complements the RN bundle/secret guidance above.

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/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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.

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