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Found 122 Skills
This skill provides comprehensive knowledge for TanStack Query v5 (React Query) server state management in React applications. It should be used when setting up data fetching with useQuery, implementing mutations with useMutation, configuring QueryClient, managing caching strategies, migrating from v4 to v5, implementing optimistic updates, using infinite queries, or encountering query/mutation errors. Use when: initializing TanStack Query in React projects, configuring QueryClient settings, creating custom query hooks, implementing mutations with error handling, setting up optimistic updates, using useInfiniteQuery for pagination, migrating from React Query v4 to v5, debugging stale data issues, fixing caching problems, resolving v5 breaking changes, implementing suspense queries, or setting up query devtools. Keywords: TanStack Query, React Query, useQuery, useMutation, useInfiniteQuery, useSuspenseQuery, QueryClient, QueryClientProvider, data fetching, server state, caching, staleTime, gcTime, query invalidation, prefetching, optimistic updates, mutations, query keys, query functions, error boundaries, suspense, React Query DevTools, v5 migration, v4 to v5, request waterfalls, background refetching, cacheTime renamed, loading status renamed, pending status, initialPageParam required, keepPreviousData removed, placeholderData, query callbacks removed, onSuccess removed, onError removed, object syntax required
Use public market data to check whether the Interest Rate Volatility (MOVE) is not spooked by interest rate events (such as JGB yield changes) and whether it leads VIX/credit spreads lower.
Use when creating or modifying API functions in */api/ directories. Enforces Firestore patterns and data fetching conventions.
TanStack Query (React Query) v5 best practices for data fetching, caching, mutations, and server state management. Use when building data-driven React applications, setting up query configurations, implementing mutations/optimistic updates, configuring caching strategies, integrating with SSR, or fixing v4→v5 migration errors.
Use loading.tsx files and React Suspense to split data fetching across multiple async components with skeleton loaders. Each page.tsx gets a matching loading.tsx, and async data components are wrapped in Suspense boundaries with skeleton fallbacks that mimic component design using the Skeleton UI.
Search and fetch LinkedIn job postings via BrightData. Use when the user wants to: (1) search LinkedIn for jobs by keyword, location, remote type, or date posted (e.g. 'find remote software engineering jobs posted this month'), (2) fetch a specific job by URL or numeric job ID (e.g. 'show me job 4358573391'), (3) analyze job postings for resume tailoring, gap analysis, or comparison.
TanStack Query v5 data fetching patterns including useSuspenseQuery, useQuery, mutations, cache management, and API service integration. Use when fetching data, managing server state, or working with TanStack Query hooks.
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.
Interact with the SocialCrawl API — a unified social media data API covering 21 platforms and 105 endpoints. Fetch profiles, posts, comments, search results, and analytics from TikTok, Instagram, YouTube, Facebook, Twitter/X, LinkedIn, Reddit, Threads, Pinterest, and 12 more platforms through a single API. Use when the user wants to: (1) fetch social media data (profiles, posts, comments, search), (2) generate code that calls the SocialCrawl API, (3) understand SocialCrawl endpoints, pricing, or capabilities, (4) check their SocialCrawl credit balance, or mentions "SocialCrawl", "social crawl", or "social media API".
Next.js 15 App Router patterns: Server Components, Server Actions, data fetching, middleware. Trigger: When building Next.js apps, working with app router, server/client components, or API routes.
Fetches trending skills directly from skills.sh, generates statistics, and creates a trend summary. Optimized for ultra-fast, direct execution without complex setup.
Access and navigate GenomeArk AWS S3 bucket - VGP assemblies, QC data, and species directory structure