Master TanStack Query for React Apps
A production-grade TanStack Query (React Query) skill: query keys, mutations, optimistic updates, and Next.js App Router SSR hydration.
Why it matters
Leverage TanStack Query to build robust, performant asynchronous state management layers in React and Next.js applications, optimizing data fetching and caching.
Outcomes
What it gets done
Implement declarative data fetching and caching strategies.
Configure query keys, staleTime, and gcTime for optimal performance.
Handle mutations, cache invalidation, and optimistic UI updates.
Integrate with Next.js App Router for server-side rendering and hydration.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-tanstack-query-expert | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
TanStack Query Expert
A TanStack Query (React Query) expert skill covering custom query hooks, query key factories, mutations with cache invalidation, three-step optimistic updates, and Next.js App Router SSR hydration via dehydrate/HydrationBoundary. Use it when setting up data fetching, query keys, mutations, optimistic updates, or Next.js App Router hydration with TanStack Query.
What it does
This skill acts as a production-grade TanStack Query (formerly React Query) expert for React and Next.js, treating it as an asynchronous state manager rather than just a data-fetching library - it handles caching, background updates, request deduplication, pagination, and loading/error states out of the box, with the rule of thumb "never use useEffect to fetch data if TanStack Query is available." Its core pattern is abstracting every useQuery call into a custom hook that encapsulates the fetcher, types, and query key:
export const useUser = (userId: string) => {
return useQuery({
queryKey: ['users', userId],
queryFn: () => fetchUser(userId),
staleTime: 1000 * 60 * 5,
enabled: !!userId,
});
};
When to use - and when NOT to
Use it when setting up or refactoring data-fetching logic away from useEffect/useState, designing array-based typed query keys, configuring global or per-query staleTime/gcTime/retry, writing useMutation hooks for POST/PUT/DELETE, invalidating the cache after a mutation, implementing optimistic updates for instant UX feedback, or integrating with Next.js App Router Server Components and client-boundary hydration.
Inputs and outputs
Query keys must be arrays where order matters, with a factory pattern recommended for larger apps (issueKeys.all, .lists(), .list(filters), .detail(id)) to avoid misspelling ['users'] vs ['user'] across files. Mutations call queryClient.invalidateQueries on success to mark related data stale. Optimistic updates follow a three-step onMutate/onError/onSettled pattern: cancel outgoing refetches and snapshot the previous value in onMutate, roll back to that snapshot in onError, and always invalidate in onSettled to resync with the server. Next.js App Router integration covers initializing a QueryClientProvider in a client component with staleTime and refetchOnWindowFocus: false set, and server-side prefetching via queryClient.prefetchQuery wrapped in dehydrate/HydrationBoundary so a client component's useQuery reads instantly from the dehydrated cache with no network request on mount. Best practices: use query key factories, set a non-zero global staleTime since the default is 0 (triggering a background refetch on every remount), prefer invalidateQueries over direct setQueryData in most cases, and never sync query data into local React state with a useEffect - derive it during render instead.
Integrations
Built specifically for React and Next.js App Router, using @tanstack/react-query's QueryClient, QueryClientProvider, dehydrate, and HydrationBoundary for server/client cache handoff. Two troubleshooting cases are documented: an infinite fetch loop traced to an unhandled exception in queryFn combined with the default 3-retry behavior (fixed by setting retry: false while debugging), and staleTime vs gcTime confusion - if gcTime is shorter than staleTime, data is garbage-collected before it even goes stale.
Who it's for
React and Next.js developers building or refactoring asynchronous data-fetching layers who want production patterns for query keys, mutations with cache invalidation, optimistic UI, and SSR hydration rather than ad-hoc useEffect fetching.
FAQ
Common questions
Discussion
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