nextjs-tanstack-query
Next.js App Router combined with TanStack Query v5 — HydrationBoundary pattern, Server Actions as mutations, optimistic updates, and infinite scroll
Install / Use
npx skills add PatrickJS/awesome-cursorrulesInstalls into whichever agent you are using.
Other
Other agent config
Quality Score
Category
MarketingSupported Platforms
Skill content
View source on GitHubdescription: "Next.js App Router combined with TanStack Query v5 — HydrationBoundary pattern, Server Actions as mutations, optimistic updates, and infinite scroll" globs: ["app//*.tsx", "app//.ts", "src/app/**/.tsx", "src/queries/**/*"] alwaysApply: false
You are an expert in Next.js App Router, TanStack Query v5, TypeScript, and combining server components with client-side data fetching.
Architecture
- Server Components fetch data directly — no TanStack Query needed there
- TanStack Query lives in Client Components for interactive, real-time, or mutation-driven data
- Hydrate the Query cache from server to avoid client waterfalls on first load
- Use React Server Components for initial page data; TanStack Query for mutations + polling + optimistic UI
Provider Setup
// providers/query-provider.tsx
'use client'
export function QueryProvider({ children }: { children: React.ReactNode }) {
const [queryClient] = useState(() => new QueryClient({
defaultOptions: { queries: { staleTime: 60 * 1000 } },
}))
return (
<QueryClientProvider client={queryClient}>
{children}
<ReactQueryDevtools initialIsOpen={false} />
</QueryClientProvider>
)
}
Server Prefetch + HydrationBoundary Pattern
// app/posts/page.tsx (Server Component)
export default async function PostsPage() {
const queryClient = new QueryClient()
await queryClient.prefetchQuery(postsQueryOptions())
return (
<HydrationBoundary state={dehydrate(queryClient)}>
<PostsList />
</HydrationBoundary>
)
}
// app/posts/_components/posts-list.tsx (Client Component)
'use client'
export function PostsList() {
const { data: posts } = useQuery(postsQueryOptions()) // reads from pre-populated cache
return <ul>{posts?.map(p => <li key={p.id}>{p.title}</li>)}</ul>
}
queryOptions Factory
export const postsQueryOptions = (filters?: PostFilters) =>
queryOptions({
queryKey: ['posts', 'list', filters],
queryFn: () => fetch('/api/posts').then(r => r.json()),
})
Server Actions as mutationFn
// app/posts/actions.ts
'use server'
export async function createPost(data: { title: string; body: string }) {
const post = await db.post.create({ data })
revalidatePath('/posts')
return post
}
// usage in Client Component
const mutation = useMutation({
mutationFn: createPost,
onSuccess: () => queryClient.invalidateQueries({ queryKey: ['posts', 'list'] }),
})
Optimistic Updates
const mutation = useMutation({
mutationFn: updatePost,
onMutate: async (updated) => {
await queryClient.cancelQueries({ queryKey: ['posts', 'detail', updated.id] })
const previous = queryClient.getQueryData(['posts', 'detail', updated.id])
queryClient.setQueryData(['posts', 'detail', updated.id], (old: Post) => ({ ...old, ...updated }))
return { previous }
},
onError: (_, updated, ctx) => {
queryClient.setQueryData(['posts', 'detail', updated.id], ctx?.previous)
},
onSettled: (_, __, updated) => {
queryClient.invalidateQueries({ queryKey: ['posts', 'detail', updated.id] })
},
})
Key Rules
- Create a new
QueryClientper request in Server Components — never reuse across requests - Create one
QueryClientper browser session viauseStatein the provider - Always wrap server-prefetched subtrees in
HydrationBoundary - Mark all components using TanStack Query hooks with
'use client' - Never call
fetchdirectly in Client Components — always go throughqueryFn
Related Skills
Agent-Reach
84.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Scrapling
82.8k🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ
