plugins/frontend/skills/tanstack-query/SKILL.md
Comprehensive TanStack Query v5 patterns for async state management. Covers breaking changes, query key factories, data transformation, mutations, optimistic updates, authentication, testing with MSW, and anti-patterns. Use for all server state management, data fetching, and cache invalidation tasks.
npx skillsauth add involvex/involvex-claude-marketplace tanstack-queryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
TanStack Query v5 (October 2023) is the async state manager for this project. It requires React 18+, features first-class Suspense support, improved TypeScript inference, and a 20% smaller bundle. This section covers production-ready patterns based on official documentation and community best practices.
Key updates you need to know:
Single Object Signature: All hooks now accept one configuration object:
// ✅ v5 - single object
useQuery({ queryKey, queryFn, ...options })
// ❌ v4 - multiple overloads (deprecated)
useQuery(queryKey, queryFn, options)
Renamed Options:
cacheTime → gcTime (garbage collection time)keepPreviousData → placeholderData: keepPreviousDataisLoading now means isPending && isFetchingCallbacks Removed from useQuery:
onSuccess, onError, onSettled removed from useQueryInfinite Queries Require initialPageParam:
initialPageParam (e.g., 0 or null)First-Class Suspense:
useSuspenseQuery, useSuspenseInfiniteQueryMigration: Use the official codemod for automatic migration: npx @tanstack/query-codemods v5/replace-import-specifier
Query v5 ships with production-ready defaults:
{
staleTime: 0, // Data instantly stale (refetch on mount)
gcTime: 5 * 60_000, // Keep unused cache for 5 minutes
retry: 3, // 3 retries with exponential backoff
refetchOnWindowFocus: true,// Refetch when user returns to tab
refetchOnReconnect: true, // Refetch when network reconnects
}
Philosophy: React Query is an async state manager, not a data fetcher. You provide the Promise; Query manages caching, background updates, and synchronization.
// src/app/providers.tsx
import { QueryClient, QueryClientProvider, QueryCache } from '@tanstack/react-query'
import { toast } from './toast' // Your notification system
const queryClient = new QueryClient({
defaultOptions: {
queries: {
staleTime: 0, // Adjust per-query
gcTime: 5 * 60_000, // 5 minutes (v5: formerly cacheTime)
retry: (failureCount, error) => {
// Don't retry on 401 (authentication errors)
if (error?.response?.status === 401) return false
return failureCount < 3
},
},
},
queryCache: new QueryCache({
onError: (error, query) => {
// Only show toast for background errors (when data exists)
if (query.state.data !== undefined) {
toast.error(`Something went wrong: ${error.message}`)
}
},
}),
})
export function AppProviders({ children }: { children: React.ReactNode }) {
return (
<QueryClientProvider client={queryClient}>
{children}
</QueryClientProvider>
)
}
DevTools Setup (auto-excluded in production):
import { ReactQueryDevtools } from '@tanstack/react-query-devtools'
<QueryClientProvider client={queryClient}>
{children}
<ReactQueryDevtools initialIsOpen={false} />
</QueryClientProvider>
Recommended pattern: Group queries with related features, not by file type.
src/features/
├── Todos/
│ ├── index.tsx # Feature entry point
│ ├── queries.ts # All React Query logic (keys, functions, hooks)
│ ├── types.ts # TypeScript types
│ └── components/ # Feature-specific components
Export only custom hooks from query files. Keep query functions and keys private:
// features/todos/queries.ts
// 1. Query Key Factory (hierarchical structure)
const todoKeys = {
all: ['todos'] as const,
lists: () => [...todoKeys.all, 'list'] as const,
list: (filters: string) => [...todoKeys.lists(), { filters }] as const,
details: () => [...todoKeys.all, 'detail'] as const,
detail: (id: number) => [...todoKeys.details(), id] as const,
}
// 2. Query Function (private)
const fetchTodos = async (filters: string): Promise<Todo[]> => {
const response = await axios.get('/api/todos', { params: { filters } })
return response.data
}
// 3. Custom Hook (public API)
export const useTodosQuery = (filters: string) => {
return useQuery({
queryKey: todoKeys.list(filters),
queryFn: () => fetchTodos(filters),
staleTime: 30_000, // Fresh for 30 seconds
})
}
Benefits:
Structure keys hierarchically from generic to specific:
// ✅ Correct hierarchy
['todos'] // Invalidates everything
['todos', 'list'] // Invalidates all lists
['todos', 'list', { filters }] // Invalidates specific list
['todos', 'detail', 1] // Invalidates specific detail
// ❌ Wrong - flat structure
['todos-list-active'] // Can't partially invalidate
Critical rule: Query keys must include ALL variables used in queryFn. Treat query keys like dependency arrays:
// ✅ Correct - includes all variables
const { data } = useQuery({
queryKey: ['todos', filters, sortBy],
queryFn: () => fetchTodos(filters, sortBy),
})
// ❌ Wrong - missing variables
const { data } = useQuery({
queryKey: ['todos'],
queryFn: () => fetchTodos(filters, sortBy), // filters/sortBy not in key!
})
Type consistency matters: ['todos', '1'] and ['todos', 1] are different keys. Be consistent with types.
The modern pattern for maximum type safety across your codebase:
import { queryOptions } from '@tanstack/react-query'
function todoOptions(id: number) {
return queryOptions({
queryKey: ['todos', id],
queryFn: () => fetchTodo(id),
staleTime: 5000,
})
}
// ✅ Use everywhere with full type safety
useQuery(todoOptions(1))
queryClient.prefetchQuery(todoOptions(5))
queryClient.setQueryData(todoOptions(42).queryKey, newTodo)
queryClient.getQueryData(todoOptions(42).queryKey) // Fully typed!
Benefits:
Choose the right approach based on your use case:
1. Transform in queryFn - Simple cases where cache should store transformed data:
const fetchTodos = async (): Promise<Todo[]> => {
const response = await axios.get('/api/todos')
return response.data.map(todo => ({
...todo,
name: todo.name.toUpperCase()
}))
}
2. Transform with select option (RECOMMENDED) - Enables partial subscriptions:
// Only re-renders when filtered data changes
export const useTodosQuery = (filters: string) =>
useQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
select: (data) => data.filter(todo => todo.status === filters),
})
// Only re-renders when count changes
export const useTodosCount = () =>
useQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
select: (data) => data.length,
})
⚠️ Memoize select functions to prevent running on every render:
// ✅ Stable reference
const transformTodos = (data: Todo[]) => expensiveTransform(data)
const query = useQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
select: transformTodos, // Stable function reference
})
// ❌ Runs on every render
const query = useQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
select: (data) => expensiveTransform(data), // New function every render
})
Let TypeScript infer types from queryFn rather than specifying generics:
// ✅ Recommended - inference
const { data } = useQuery({
queryKey: ['todos'],
queryFn: fetchTodos, // Returns Promise<Todo[]>
})
// data is Todo[] | undefined
// ❌ Unnecessary - explicit generics
const { data } = useQuery<Todo[]>({
queryKey: ['todos'],
queryFn: fetchTodos,
})
Discriminated unions automatically narrow types:
const { data, isSuccess, isError, error } = useQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
})
if (isSuccess) {
// data is Todo[] (never undefined)
}
if (isError) {
// error is defined
}
Use queryOptions helper for maximum type safety across imperative methods.
Always create custom hooks even for single queries:
// ✅ Recommended - custom hook with encapsulation
export function usePost(
id: number,
options?: Omit<UseQueryOptions<Post>, 'queryKey' | 'queryFn'>
) {
return useQuery({
queryKey: ['posts', id],
queryFn: () => getPost(id),
...options,
})
}
// Usage: allows callers to override any option except key/fn
const { data } = usePost(42, { staleTime: 10_000 })
Benefits:
Layer 1: Component-Level - Specific user feedback:
function TodoList() {
const { data, error, isError, isLoading } = useQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
})
if (isLoading) return <Spinner />
if (isError) return <ErrorAlert>{error.message}</ErrorAlert>
return <ul>{data.map(todo => <TodoItem key={todo.id} {...todo} />)}</ul>
}
Layer 2: Global Error Handling - Background errors via QueryCache:
// Already configured in client setup above
queryCache: new QueryCache({
onError: (error, query) => {
if (query.state.data !== undefined) {
toast.error(`Background error: ${error.message}`)
}
},
})
Layer 3: Error Boundaries - Catch render errors:
import { QueryErrorResetBoundary } from '@tanstack/react-query'
import { ErrorBoundary } from 'react-error-boundary'
<QueryErrorResetBoundary>
{({ reset }) => (
<ErrorBoundary
onReset={reset}
fallbackRender={({ error, resetErrorBoundary }) => (
<div>
<p>Error: {error.message}</p>
<button onClick={resetErrorBoundary}>Try again</button>
</div>
)}
>
<TodoList />
</ErrorBoundary>
)}
</QueryErrorResetBoundary>
First-class Suspense support in v5 with dedicated hooks:
import { useSuspenseQuery } from '@tanstack/react-query'
function TodoList() {
// data is NEVER undefined (type-safe)
const { data } = useSuspenseQuery({
queryKey: ['todos'],
queryFn: fetchTodos,
})
return <ul>{data.map(todo => <TodoItem key={todo.id} {...todo} />)}</ul>
}
// Wrap with Suspense boundary
function App() {
return (
<Suspense fallback={<Spinner />}>
<TodoList />
</Suspense>
)
}
Benefits:
Basic mutation with cache invalidation:
export function useCreateTodo() {
const queryClient = useQueryClient()
return useMutation({
mutationFn: (newTodo: CreateTodoDTO) =>
api.post('/todos', newTodo).then(res => res.data),
onSuccess: (data) => {
// Set detail query immediately
queryClient.setQueryData(['todos', data.id], data)
// Invalidate list queries
queryClient.invalidateQueries({ queryKey: ['todos', 'list'] })
},
})
}
Simple optimistic updates using variables:
const addTodoMutation = useMutation({
mutationFn: (newTodo: string) => axios.post('/api/todos', { text: newTodo }),
onSettled: () => queryClient.invalidateQueries({ queryKey: ['todos'] }),
})
const { isPending, variables, mutate } = addTodoMutation
return (
<ul>
{todoQuery.data?.map(todo => <li key={todo.id}>{todo.text}</li>)}
{isPending && <li style={{ opacity: 0.5 }}>{variables}</li>}
</ul>
)
Advanced optimistic updates with rollback:
useMutation({
mutationFn: updateTodo,
onMutate: async (newTodo) => {
// Cancel outgoing queries (prevent race conditions)
await queryClient.cancelQueries({ queryKey: ['todos'] })
// Snapshot current data
const previousTodos = queryClient.getQueryData(['todos'])
// Optimistically update cache
queryClient.setQueryData(['todos'], (old: Todo[]) =>
old?.map(todo => todo.id === newTodo.id ? newTodo : todo)
)
// Return context for rollback
return { previousTodos }
},
onError: (err, newTodo, context) => {
// Rollback on error
queryClient.setQueryData(['todos'], context?.previousTodos)
toast.error('Update failed. Changes reverted.')
},
onSettled: () => {
// Always refetch to ensure consistency
queryClient.invalidateQueries({ queryKey: ['todos'] })
},
})
Key principles:
onMutate to prevent race conditionsonSettled for eventual consistencyHandle token refresh at HTTP client level (not React Query):
// src/lib/api-client.ts
import axios from 'axios'
import createAuthRefreshInterceptor from 'axios-auth-refresh'
export const apiClient = axios.create({
baseURL: import.meta.env.VITE_API_URL,
})
// Add token to requests
apiClient.interceptors.request.use((config) => {
const token = getAccessToken()
if (token) config.headers.Authorization = `Bearer ${token}`
return config
})
// Refresh token on 401
const refreshAuth = async (failedRequest: any) => {
try {
const newToken = await fetchNewToken()
failedRequest.response.config.headers.Authorization = `Bearer ${newToken}`
setAccessToken(newToken)
return Promise.resolve()
} catch {
removeAccessToken()
window.location.href = '/login'
return Promise.reject()
}
}
createAuthRefreshInterceptor(apiClient, refreshAuth, {
statusCodes: [401],
pauseInstanceWhileRefreshing: true,
})
Protected queries use the enabled option:
const useTodos = () => {
const { user } = useUser() // Get current user from auth context
return useQuery({
queryKey: ['todos', user?.id],
queryFn: () => fetchTodos(user.id),
enabled: !!user, // Only execute when user exists
})
}
On logout: Clear the entire cache with queryClient.clear() (not invalidateQueries() which triggers refetches):
const logout = () => {
removeAccessToken()
queryClient.clear() // Clear all cached data
navigate('/login')
}
Prefetching - Eliminate loading states:
// Hover prefetching
function ShowDetailsButton() {
const queryClient = useQueryClient()
const prefetch = () => {
queryClient.prefetchQuery({
queryKey: ['details'],
queryFn: getDetailsData,
staleTime: 60_000, // Consider fresh for 1 minute
})
}
return (
<button onMouseEnter={prefetch} onClick={showDetails}>
Show Details
</button>
)
}
// Route-level prefetching (see Router × Query Integration section)
Infinite Queries - Infinite scrolling/pagination:
function Projects() {
const {
data,
fetchNextPage,
hasNextPage,
isFetchingNextPage,
isLoading,
} = useInfiniteQuery({
queryKey: ['projects'],
queryFn: ({ pageParam }) => fetchProjects(pageParam),
initialPageParam: 0, // Required in v5
getNextPageParam: (lastPage) => lastPage.nextCursor,
})
if (isLoading) return <Spinner />
return (
<>
{data.pages.map((page, i) => (
<React.Fragment key={i}>
{page.data.map(project => (
<ProjectCard key={project.id} {...project} />
))}
</React.Fragment>
))}
<button
onClick={() => fetchNextPage()}
disabled={!hasNextPage || isFetchingNextPage}
>
{isFetchingNextPage ? 'Loading...' : 'Load More'}
</button>
</>
)
}
Offset-Based Pagination with placeholderData:
import { keepPreviousData } from '@tanstack/react-query'
function Posts() {
const [page, setPage] = useState(0)
const { data, isPending, isPlaceholderData } = useQuery({
queryKey: ['posts', page],
queryFn: () => fetchPosts(page),
placeholderData: keepPreviousData, // Show previous data while fetching
})
return (
<>
{data.posts.map(post => <PostCard key={post.id} {...post} />)}
<button
onClick={() => setPage(p => Math.max(0, p - 1))}
disabled={page === 0}
>
Previous
</button>
<button
onClick={() => setPage(p => p + 1)}
disabled={isPlaceholderData || !data.hasMore}
>
Next
</button>
</>
)
}
Dependent Queries - Sequential data fetching:
function UserProjects({ email }: { email: string }) {
// First query
const { data: user } = useQuery({
queryKey: ['user', email],
queryFn: () => getUserByEmail(email),
})
// Second query waits for first
const { data: projects } = useQuery({
queryKey: ['projects', user?.id],
queryFn: () => getProjectsByUser(user.id),
enabled: !!user?.id, // Only runs when user.id exists
})
return <div>{/* render projects */}</div>
}
staleTime is your primary control - adjust this, not gcTime:
// Real-time data (default)
staleTime: 0 // Always considered stale, refetch on mount
// User profiles (changes infrequently)
staleTime: 1000 * 60 * 2 // Fresh for 2 minutes
// Static reference data
staleTime: 1000 * 60 * 10 // Fresh for 10 minutes
Query deduplication happens automatically - multiple components mounting with identical query keys result in a single network request, but all components receive data.
Prevent request waterfalls:
// ❌ Waterfall - each query waits for previous
function Dashboard() {
const { data: user } = useQuery(userQuery)
const { data: posts } = useQuery(postsQuery(user?.id))
const { data: stats } = useQuery(statsQuery(user?.id))
}
// ✅ Parallel - all queries start simultaneously
function Dashboard() {
const { data: user } = useQuery(userQuery)
const { data: posts } = useQuery({
...postsQuery(user?.id),
enabled: !!user?.id,
})
const { data: stats } = useQuery({
...statsQuery(user?.id),
enabled: !!user?.id,
})
}
// ✅ Best - prefetch in route loader (see Router × Query Integration)
Never copy server state to local state - this opts out of background updates:
// ❌ Wrong - copies to state, loses reactivity
const { data } = useQuery({ queryKey: ['todos'], queryFn: fetchTodos })
const [todos, setTodos] = useState(data)
// ✅ Correct - use query data directly
const { data: todos } = useQuery({ queryKey: ['todos'], queryFn: fetchTodos })
MSW is the recommended approach - mock the network layer:
// src/test/mocks/handlers.ts
import { http, HttpResponse } from 'msw'
export const handlers = [
http.get('/api/todos', () => {
return HttpResponse.json([
{ id: 1, text: 'Test todo', completed: false },
])
}),
http.post('/api/todos', async ({ request }) => {
const newTodo = await request.json()
return HttpResponse.json({ id: 2, ...newTodo })
}),
]
// src/test/setup.ts
import { setupServer } from 'msw/node'
import { handlers } from './mocks/handlers'
export const server = setupServer(...handlers)
beforeAll(() => server.listen())
afterEach(() => server.resetHandlers())
afterAll(() => server.close())
Create test wrappers with proper QueryClient:
// src/test/utils.tsx
import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import { render } from '@testing-library/react'
export function createTestQueryClient() {
return new QueryClient({
defaultOptions: {
queries: {
retry: false, // Prevent retries in tests
gcTime: Infinity,
},
},
})
}
export function renderWithClient(ui: React.ReactElement) {
const testQueryClient = createTestQueryClient()
return render(
<QueryClientProvider client={testQueryClient}>
{ui}
</QueryClientProvider>
)
}
Test queries:
import { renderWithClient } from '@/test/utils'
import { screen } from '@testing-library/react'
test('displays todos', async () => {
renderWithClient(<TodoList />)
// Wait for data to load
expect(await screen.findByText('Test todo')).toBeInTheDocument()
})
test('shows error state', async () => {
// Override handler for this test
server.use(
http.get('/api/todos', () => {
return HttpResponse.json(
{ message: 'Failed to fetch' },
{ status: 500 }
)
})
)
renderWithClient(<TodoList />)
expect(await screen.findByText(/failed/i)).toBeInTheDocument()
})
Critical testing principles:
retry: false to prevent timeoutsfindBy*) for data that loads❌ Don't store query data in Redux/Context:
❌ Don't call refetch() with different parameters:
// ❌ Wrong - breaks declarative pattern
const { data, refetch } = useQuery({
queryKey: ['todos'],
queryFn: () => fetchTodos(filters),
})
// Later: refetch with different filters??? Won't work!
// ✅ Correct - include params in key
const [filters, setFilters] = useState('all')
const { data } = useQuery({
queryKey: ['todos', filters],
queryFn: () => fetchTodos(filters),
})
// Changing filters automatically refetches
❌ Don't use queries for local state:
❌ Don't create QueryClient inside components:
// ❌ Wrong - new cache every render
function App() {
const client = new QueryClient()
return <QueryClientProvider client={client}>...</QueryClientProvider>
}
// ✅ Correct - stable instance
const queryClient = new QueryClient()
function App() {
return <QueryClientProvider client={queryClient}>...</QueryClientProvider>
}
❌ Don't ignore loading and error states - always handle both
❌ Don't transform data by copying to state - use select option
❌ Don't mismatch query keys - be consistent with types ('1' vs 1)
staleTime - How long data is considered fresh:
0 (default) - Always stale, refetch on mount/focus30_000 (30s) - Good for user-generated content120_000 (2min) - Good for profile data600_000 (10min) - Good for static reference datagcTime (formerly cacheTime) - How long unused data stays in cache:
300_000 (5min, default) - Good for most casesInfinity - Keep forever (useful with persistence)0 - Immediate garbage collection (not recommended)Relationship: staleTime controls refetch frequency, gcTime controls memory cleanup.
development
Technical SEO audit methodology including crawlability, indexability, and Core Web Vitals analysis. Use when auditing pages or sites for technical SEO issues.
content-media
SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Use when analyzing search results for content strategy.
data-ai
Schema.org markup implementation patterns for rich results. Use when adding structured data to content for enhanced SERP appearances.
development
Correlate content attributes with performance metrics across GA4, GSC, and SE Ranking. Identify what drives performance and build optimization hypotheses.