tanstack-query

Fetch and cache server data in React apps with TanStack Query v5.

Updated Oct 28, 2025
One-click install
npx skills add https://github.com/kaxuna1/ecomsite --skill tanstack-query-kaxuna1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tanstack-query
Source: https://github.com/kaxuna1/ecomsite/tree/main/.claude/skills/tanstack-query
Command: npx skills add https://github.com/kaxuna1/ecomsite --skill tanstack-query-kaxuna1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

TanStack Query simplifies managing server state in React apps by providing declarative data fetching, caching, and synchronization, reducing boilerplate and stale UI.

Core Features & Use Cases

  • Caching and cache invalidation across components
  • Mutations with automatic cache updates
  • Parallel and dependent queries for complex data orchestration
  • Use Case: Build a dashboard that fetches user data and recent activities with consistent freshness

Quick Start

Install TanStack Query in your project and start using useQuery and useMutation to fetch and mutate data with automatic caching.

Frequently Asked Questions about tanstack-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch and cache server data in React apps without writing boilerplate?

To fetch and cache server data in React apps, use TanStack Query's QueryClient and structured query keys. This declarative approach provides automatic caching and synchronization, reducing boilerplate and preventing stale UI across components.

What is the best way to handle cache invalidation across React components after mutations?

The best way to handle cache invalidation in React is using TanStack Query's useMutation hook. It automatically updates the cache after data changes, keeping your UI up-to-date during real-time updates without manual state management.

How do I manage parallel and dependent queries for complex data orchestration?

To manage parallel and dependent queries for complex data orchestration, use TanStack Query's structured query keys and configurable cache strategies. This satisfies dynamic data fetching requirements, like loading user data and recent activities with consistent freshness.

Does TanStack Query work with paginated loads and real-time UI updates?

Yes, TanStack Query works with paginated loads and real-time updates by applying a QueryClient and configurable cache strategies. It keeps the UI up-to-date during component data fetching and mutations through automatic cache invalidations.

Why does my React UI show stale data after fetching server state?

Your React UI shows stale server state because it lacks proper cache invalidation. Using TanStack Query's declarative data fetching and automatic synchronization ensures consistent freshness across components during real-time updates and mutations.