Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
日本語の概要は準備中です。原文の説明を表示しています。
Integrating TanStack Router with TanStack Query: queryClient in router context, ensureQueryData/prefetchQuery in loaders, useSuspenseQuery in components, defaultPreloadStaleTime: 0, setupRouterSsrQueryIntegration for SSR dehydration/hydration and streaming, per-request QueryClient isolation.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill requires familiarity with both TanStack Router and TanStack Query. Read router-core and react-router first.
This skill covers coordinating TanStack Query as an external data cache with TanStack Router's loader system. The router acts as a coordinator — it triggers data fetching during navigation, while Query manages caching, background refetching, and data lifecycle.
CRITICAL: Set
defaultPreloadStaleTime: 0when using TanStack Query. Without this, Router's built-in preload cache (30s default) prevents Query from controlling data freshness.
CRITICAL: For SSR, create
QueryClientinside thecreateRouterfactory function. A module-level singleton leaks data between server requests.
// src/main.tsx
import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import {
RouterProvider,
createRouter,
createRootRouteWithContext,
} from '@tanstack/react-router'
import { routeTree } from './routeTree.gen'
// Root route declares that router context includes queryClient
// (root route file creates it with createRootRouteWithContext — see below)
const queryClient = new QueryClient()
const router = createRouter({
routeTree,
defaultPreloadStaleTime: 0, // Let Query manage caching
context: { queryClient },
Wrap: ({ children }) => (
<QueryClientProvider client={queryClient}>{children}</QueryClientProvider>
),
})
declare module '@tanstack/react-router' {
interface Register {
router: typeof router
}
}
function App() {
return <RouterProvider router={router} />
}
// src/routes/__root.tsx
import { createRootRouteWithContext, Outlet } from '@tanstack/react-router'
import type { QueryClient } from '@tanstack/react-query'
// Double parentheses: factory pattern
export const Route = createRootRouteWithContext<{
queryClient: QueryClient
}>()({
component: () => <Outlet />,
})
// src/router.tsx
import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import { createRouter } from '@tanstack/react-router'
import { routeTree } from './routeTree.gen'
export function createAppRouter() {
// Fresh QueryClient per request — prevents data leaking between SSR requests
const queryClient = new QueryClient()
return createRouter({
routeTree,
defaultPreloadStaleTime: 0,
context: { queryClient },
Wrap: ({ children }) => (
<QueryClientProvider client={queryClient}>{children}</QueryClientProvider>
),
})
}
declare module '@tanstack/react-router' {
interface Register {
router: ReturnType<typeof createAppRouter>
}
}
setupRouterSsrQueryIntegrationFor automatic SSR dehydration/hydration and streaming:
npm install @tanstack/react-router-ssr-query
// src/router.tsx
import { QueryClient } from '@tanstack/react-query'
import { createRouter } from '@tanstack/react-router'
import { setupRouterSsrQueryIntegration } from '@tanstack/react-router-ssr-query'
import { routeTree } from './routeTree.gen'
export function createAppRouter() {
const queryClient = new QueryClient()
const router = createRouter({
routeTree,
defaultPreloadStaleTime: 0,
context: { queryClient },
})
setupRouterSsrQueryIntegration({
router,
queryClient,
// wrapQueryClient: true (default — wraps with QueryClientProvider)
// handleRedirects: true (default — handles redirect() from queries)
})
return router
}
The integration:
redirect() thrown from queries/mutations// src/router.tsx
import { QueryClient, dehydrate, hydrate } from '@tanstack/react-query'
import { QueryClientProvider } from '@tanstack/react-query'
import { createRouter } from '@tanstack/react-router'
import { routeTree } from './routeTree.gen'
export function createAppRouter() {
const queryClient = new QueryClient()
return createRouter({
routeTree,
defaultPreloadStaleTime: 0,
context: { queryClient },
dehydrate: () => ({
queryClientState: dehydrate(queryClient),
}),
hydrate: (dehydrated) => {
hydrate(queryClient, dehydrated.queryClientState)
},
Wrap: ({ children }) => (
<QueryClientProvider client={queryClient}>{children}</QueryClientProvider>
),
})
}
ensureQueryData in Loader + useSuspenseQuery in ComponentThis is the recommended pattern. The loader ensures data is in the cache before render (no loading flash). The component subscribes to the cache for updates.
// src/routes/posts.tsx
import { queryOptions, useSuspenseQuery } from '@tanstack/react-query'
import { createFileRoute } from '@tanstack/react-router'
interface Post {
id: string
title: string
}
const postsQueryOptions = queryOptions({
queryKey: ['posts'],
queryFn: (): Promise<Array<Post>> =>
fetch('/api/posts').then((r) => r.json()),
})
export const Route = createFileRoute('/posts')({
loader: ({ context }) => {
// ensureQueryData returns cached data if available, fetches if not in cache
// To also refetch stale data, pass revalidateIfStale: true
return context.queryClient.ensureQueryData(postsQueryOptions)
},
component: PostsPage,
})
function PostsPage() {
// useSuspenseQuery subscribes to cache — gets background updates
const { data: posts } = useSuspenseQuery(postsQueryOptions)
return (
<ul>
{posts.map((post) => (
<li key={post.id}>{post.title}</li>
))}
</ul>
)
}
// src/routes/posts/$postId.tsx
import { queryOptions, useSuspenseQuery } from '@tanstack/react-query'
import { createFileRoute } from '@tanstack/react-router'
interface Post {
id: string
title: string
content: string
}
const postQueryOptions = (postId: string) =>
queryOptions({
queryKey: ['posts', postId],
queryFn: () => fetch(`/api/posts/${postId}`).then((r) => r.json()),
})
export const Route = createFileRoute('/posts/$postId')({
loader: ({ context, params }) => {
return context.queryClient.ensureQueryData(postQueryOptions(params.postId))
},
component: PostPage,
})
function PostPage() {
const { postId } = Route.useParams()
const { data: post } = useSuspenseQuery(postQueryOptions(postId))
return <article>{post.title}</article>
}
prefetchQuery (Not Awaited)For non-critical data, start the fetch without blocking navigation:
import { useQuery, useSuspenseQuery } from '@tanstack/react-query'
export const Route = createFileRoute('/dashboard')({
loader: ({ context }) => {
// Await critical data
const user = context.queryClient.ensureQueryData(userQueryOptions)
// Start non-critical fetch without awaiting — streams during SSR
context.queryClient.prefetchQuery(analyticsQueryOptions)
return user
},
component: Dashboard,
})
function Dashboard() {
// Critical: suspense (data ready immediately)
const { data: user } = useSuspenseQuery(userQueryOptions)
// Non-critical: regular query (shows loading state)
const { data: analytics, isLoading } = useQuery(analyticsQueryOptions)
return (
<div>
<h1>Welcome {user.name}</h1>
{isLoading ? <Skeleton /> : <AnalyticsChart data={analytics} />}
</div>
)
}
useQueryErrorResetBoundaryimport { useEffect } from 'react'
import { useQueryErrorResetBoundary } from '@tanstack/react-query'
import { useRouter } from '@tanstack/react-router'
export const Route = createFileRoute('/posts')({
loader: ({ context }) =>
context.queryClient.ensureQueryData(postsQueryOptions),
errorComponent: PostsErrorComponent,
component: PostsPage,
})
function PostsErrorComponent({
error,
reset,
}: {
error: Error
reset: () => void
}) {
const router = useRouter()
const queryErrorResetBoundary = useQueryErrorResetBoundary()
useEffect(() => {
queryErrorResetBoundary.reset()
}, [queryErrorResetBoundary])
return (
<div>
<p>{error.message}</p>
<button onClick={() => router.invalidate()}>Retry</button>
</div>
)
}
defaultPreloadStaleTime to 0Router has a built-in preload cache (default staleTime for preloads is 30s). This prevents Query from controlling data freshness during preloading.
// WRONG — Router's preload cache serves stale data, Query never refetches
const router = createRouter({ routeTree })
// CORRECT — disable Router's preload cache, let Query manage freshness
const router = createRouter({
routeTree,
defaultPreloadStaleTime: 0,
})
createRouter for SSRA module-level singleton QueryClient is shared across all server requests, leaking user data between requests.
// WRONG — shared across SSR requests
const queryClient = new QueryClient()
export function createAppRouter() {
return createRouter({
routeTree,
context: { queryClient },
})
}
// CORRECT — new QueryClient per createAppRouter call
export function createAppRouter() {
const queryClient = new QueryClient()
return createRouter({
routeTree,
context: { queryClient },
})
}
prefetchQuery in loader blocks renderingprefetchQuery is designed to fire-and-forget. Awaiting it blocks the navigation transition until the data resolves, defeating the purpose of streaming.
// WRONG — blocks navigation, no streaming benefit
loader: async ({ context }) => {
await context.queryClient.prefetchQuery(analyticsQueryOptions)
}
// CORRECT — fire and forget for streaming
loader: ({ context }) => {
context.queryClient.prefetchQuery(analyticsQueryOptions)
}
// If you need to block (critical data), use ensureQueryData instead:
loader: ({ context }) => {
return context.queryClient.ensureQueryData(criticalQueryOptions)
}
createRootRouteWithContextcreateRootRouteWithContext<Type>() is a factory — it returns a function. The second call passes route options.
// WRONG — passing options to the factory, not the returned function
const rootRoute = createRootRouteWithContext<{ queryClient: QueryClient }>({
component: RootComponent,
})
// CORRECT — double call: factory()({options})
const rootRoute = createRootRouteWithContext<{ queryClient: QueryClient }>()({
component: RootComponent,
})
TanStack Router has its own SWR cache (staleTime, gcTime, defaultPreloadStaleTime). When using Query as an external cache:
defaultPreloadStaleTime: 0 to prevent Router's cache from short-circuiting Query's freshness logicstaleTime/gcTime still apply to the loader return value. For pure Query patterns, return nothing from the loader (just ensureQueryData for the side effect) and read data exclusively from useSuspenseQueryrouter.invalidate() re-runs loaders (which call ensureQueryData), but Query decides whether to actually refetch based on its own staleTimeまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
日本語の概要は準備中です。原文の説明を表示しています。
Search the live web via Perplexity Search API. Use when you need current documentation, release notes, vendor pages, news, domain-constrained web search, or date/recency filtering. Not for local codebase search or stable docs already in context.
日本語の概要は準備中です。原文の説明を表示しています。
Chrome DevTools CLI for browser automation via shell commands. Use when interacting with web pages from the command line — navigating, clicking, filling forms, inspecting console/network, taking screenshots, or extracting page content. Triggers on: browse a page, automate Chrome, inspect console, check network requests, take a screenshot, fill a form, click a button.
日本語の概要は準備中です。原文の説明を表示しています。
Uses the chrome-devtools-axi CLI for browser automation, accessibility-tree snapshots, console and network inspection, screenshots, Lighthouse audits, and performance traces. Use when interacting with Chrome from the shell, especially when the user mentions chrome-devtools-axi, AX snapshots, browser debugging, or DevTools automation from the command line.
日本語の概要は準備中です。原文の説明を表示しています。
Deep expertise in cmux — the terminal multiplexer with native browser views. Use when managing panes, reading terminal output, sending keystrokes, opening browser views, or manually testing web UIs and TUIs inside cmux. Triggers on: cmux, open a browser pane, split terminal, read screen, send keys, test this UI in cmux, preview in cmux.
日本語の概要は準備中です。原文の説明を表示しています。
Uses the gh-axi CLI for GitHub shell operations: issue, pull request, workflow run, release, repo, search, and API tasks. Prefer this over regular `gh` for GitHub reads and simple mutations when an agent needs compact, structured, suggestion-rich output. Triggers on: gh, GitHub CLI, github issue, github pr, pull request, workflow run, github release, gh api, repo inspection, list PRs, view issue, check workflow runs, inspect repo, GitHub shell operations.
日本語の概要は準備中です。原文の説明を表示しています。