tanstack-query-expert
Master asynchronous state management with TanStack Query to replace manual fetch calls and state hooks.
Install
mkdir -p .claude/skills/tanstack-query-expert && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/9711" && unzip -o skill.zip -d .claude/skills/tanstack-query-expert && rm skill.zipInstalls to .claude/skills/tanstack-query-expert
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
ALWAYS use this when the request matches Tanstack Query Expert: Expert in TanStack Query (React Query) — asynchronous state management.Key capabilities
- →Asynchronous state management
- →Query key design
- →Cache invalidation
- →Optimistic UI updates
- →SSR hydration
How it works
It uses a declarative approach to manage asynchronous state, caching, and background synchronization in React applications.
Inputs & outputs
When to use tanstack-query-expert
- →Set up data fetching for a React component
- →Implement optimistic UI updates
- →Configure query cache invalidation
- →Hydrate data in Next.js App Router
About this skill
TanStack Query Expert
Selective Reading Rule
Start with:
references/senior-master-standard.mdreferences/usage-routing.mdreferences/quality-checklist.md
Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.
You are a production-grade TanStack Query (formerly React Query) expert. You help developers build robust, performant asynchronous state management layers in React and Next.js applications. You master declarative data fetching, cache invalidation, optimistic UI updates, background syncing, error boundaries, and server-side rendering (SSR) hydration patterns.
When to Use This Skill
- Use when setting up or refactoring data fetching logic (replacing
useEffect+useState) - Use when designing query keys (Array-based, strictly typed keys)
- Use when configuring global or query-specific
staleTime,gcTime, andretrybehavior - Use when writing
useMutationhooks for POST/PUT/DELETE requests - Use when invalidating the cache (
queryClient.invalidateQueries) after a mutation - Use when implementing Optimistic Updates for instant UX feedback
- Use when integrating TanStack Query with Next.js App Router (Server Components + Client Boundary hydration)
Core Concepts
Why TanStack Query?
TanStack Query is not just for fetching data; it's an asynchronous state manager. It handles caching, background updates, deduplication of multiple requests for the same data, pagination, and out-of-the-box loading/error states.
Rule of Thumb: Never use useEffect to fetch data if TanStack Query is available in the stack.
Query Definition Patterns
The Custom Hook Pattern (Best Practice)
Always abstract useQuery calls into custom hooks to encapsulate the fetching logic, TypeScript types, and query keys.
import { useQuery } from '@tanstack/react-query';
// 1. Define strict types
type User = { id: string; name: string; status: 'active' | 'inactive' };
// 2. Define the fetcher function
const fetchUser = async (userId: string): Promise<User> => {
const res = await fetch(`/api/users/${userId}`);
if (!res.ok) throw new Error('Failed to fetch user');
return res.json();
};
// 3. Export a custom hook
export const useUser = (userId: string) => {
return useQuery({
queryKey: ['users', userId], // Array-based query key
queryFn: () => fetchUser(userId),
staleTime: 1000 * 60 * 5, // Data is fresh for 5 minutes (no background refetching)
enabled: !!userId, // Dependent query: only run if userId exists
});
};
Advanced Query Keys
Query keys uniquely identify the cache. They must be arrays, and order matters.
// Filtering / Sorting
useQuery({
queryKey: ['issues', { status: 'open', sort: 'desc' }],
queryFn: () => fetchIssues({ status: 'open', sort: 'desc' })
});
// Factory pattern for query keys (Highly recommended for large apps)
export const issueKeys = {
all: ['issues'] as const,
lists: () => [...issueKeys.all, 'list'] as const,
list: (filters: string) => [...issueKeys.lists(), { filters }] as const,
details: () => [...issueKeys.all, 'detail'] as const,
detail: (id: number) => [...issueKeys.details(), id] as const,
};
Mutations & Cache Invalidation
Basic Mutation with Invalidation
When you modify data on the server, you must tell the client cache that the old data is now stale.
import { useMutation, useQueryClient } from '@tanstack/react-query';
export const useCreatePost = () => {
const queryClient = useQueryClient();
return useMutation({
mutationFn: async (newPost: { title: string }) => {
const res = await fetch('/api/posts', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(newPost),
});
return res.json();
},
// On success, invalidate the 'posts' cache to trigger a background refetch
onSuccess: () => {
queryClient.invalidateQueries({ queryKey: ['posts'] });
},
});
};
Optimistic Updates
Give the user instant feedback by updating the cache before the server responds, and rolling back if the request fails.
export const useUpdateTodo = () => {
const queryClient = useQueryClient();
return useMutation({
mutationFn: updateTodoFn,
// 1. Triggered immediately when mutate() is called
onMutate: async (newTodo) => {
// Cancel any outgoing refetches so they don't overwrite our optimistic update
await queryClient.cancelQueries({ queryKey: ['todos'] });
// Snapshot the previous value
const previousTodos = queryClient.getQueryData(['todos']);
// Optimistically update to the new value
queryClient.setQueryData(['todos'], (old: any) =>
old.map((todo: any) => todo.id === newTodo.id ? { ...todo, ...newTodo } : todo)
);
// Return a context object with the snapshotted value
return { previousTodos };
},
// 2. If the mutation fails, use the context returned from onMutate to roll back
onError: (err, newTodo, context) => {
queryClient.setQueryData(['todos'], context?.previousTodos);
},
// 3. Always refetch after error or success to ensure server sync
onSettled: () => {
queryClient.invalidateQueries({ queryKey: ['todos'] });
},
});
};
Next.js App Router Integration
Initializing the Provider
// app/providers.tsx
'use client'
import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import { useState } from 'react'
export default function Providers({ children }: { children: React.ReactNode }) {
const [queryClient] = useState(
() =>
new QueryClient({
defaultOptions: {
queries: {
staleTime: 60 * 1000, // 1 minute
refetchOnWindowFocus: false, // Prevents aggressive refetching on tab switch
},
},
})
)
return (
<QueryClientProvider client={queryClient}>
{children}
</QueryClientProvider>
)
}
Server Component Pre-fetching (Hydration)
Pre-fetch data on the server and pass it to the client without prop-drilling or initialData.
// app/posts/page.tsx (Server Component)
import { dehydrate, HydrationBoundary, QueryClient } from '@tanstack/react-query';
import PostsList from './PostsList'; // Client Component
export default async function PostsPage() {
const queryClient = new QueryClient();
// Prefetch the data on the server
await queryClient.prefetchQuery({
queryKey: ['posts'],
queryFn: fetchPostsServerSide,
});
// Dehydrate the cache and pass it to the HydrationBoundary
return (
<HydrationBoundary state={dehydrate(queryClient)}>
<PostsList />
</HydrationBoundary>
);
}
// app/posts/PostsList.tsx (Client Component)
'use client'
import { useQuery } from '@tanstack/react-query';
export default function PostsList() {
// This will NOT trigger a network request on mount!
// It reads instantly from the dehydrated server cache.
const { data } = useQuery({
queryKey: ['posts'],
queryFn: fetchPostsClientSide,
});
return <div>{data.map(post => <p key={post.id}>{post.title}</p>)}</div>;
}
Best Practices
- ✅ Do: Create Query Key factories so you don't misspell
['users']vs['user']across different files. - ✅ Do: Set a global
staleTime(e.g.,1000 * 60) if your data doesn't change every second. The defaultstaleTimeis0, meaning TanStack Query will trigger a background refetch on every component remount by default. - ✅ Do: Use
queryClient.setQueryDatasparingly. It's usually better to justinvalidateQueriesand let TanStack Query refetch the fresh data organically. - ✅ Do: Abstract all
useMutationanduseQuerycalls into custom hooks. Views should only sayconst { mutate } = useCreatePost(). - ❌ Don't: Pass primitive callbacks inline directly to
useQuerywithout memoization if you rely on closures. (Instead, rely on thequeryKeydependency array). - ❌ Don't: Sync query data into local React state (e.g.,
useEffect(() => setLocalState(data), [data])). Use the query data directly. If you need derived state, derive it during render.
Troubleshooting
Problem: Infinite fetching loop in the network tab.
Solution: Check your queryFn. If your fetch logic isn't structured correctly, or throws an unhandled exception before hitting the return, TanStack Query will retry automatically up to 3 times (default). If wrapped in an unstable useEffect, it loops infinitely. Check retry: false for debugging.
Problem: staleTime vs gcTime (formerly cacheTime) confusion.
Solution: staleTime governs when a background refetch is triggered. gcTime governs how long the inactive data stays in memory after the component unmounts. If gcTime < staleTime, data will be deleted before it even gets stale!
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
When not to use it
- →Simple local state management
- →Synchronous data fetching
Prerequisites
Limitations
- →Requires understanding of query keys and cache lifecycle
How it compares
It replaces manual useEffect-based fetching with a reliable, cached state management layer.
Compared to similar skills
tanstack-query-expert side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| tanstack-query-expert (this skill) | 0 | 3mo | No flags | Intermediate |
| ai-model-web | 1 | 2mo | Review | Intermediate |
| rdc-setup | 1 | 6mo | Review | Intermediate |
| algolia-search | 0 | 5mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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