react-query-patterns

Name: react-query-patterns
Availability: InStock
Author: prathmesh2000

Implement React Query patterns for server state management in React apps.

1|Updated Mar 4, 2026

Search Tags:#caching #tanstack #react-query #data-fetching #server-state #optimistic-updates #infinite-scroll

Ready to run

npx skills add https://github.com/Prathmesh2000/cursor_agent-orchestrator --skill react-query-patterns-prathmesh2000

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: react-query-patterns
Source: https://github.com/Prathmesh2000/cursor_agent-orchestrator/tree/main/agent-system/skills/react-query-patterns
Command: npx skills add https://github.com/Prathmesh2000/cursor_agent-orchestrator --skill react-query-patterns-prathmesh2000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Building modern React apps often struggles with keeping server state synchronized, leading to stale UI, complex boilerplate, and inconsistent data handling.

Core Features & Use Cases

Typed query keys to ensure correct cache invalidation and predictable data access.
Patterns for queries, mutations, optimistic updates, lazy loading, and background data refetching.
Use cases include dashboards, lists with pagination, real-time-like updates, and forms that submit and reflect changes immediately.

Quick Start

Configure a QueryClient, wrap your app with QueryClientProvider, and begin using the provided hooks to fetch data.

Frequently Asked Questions about react-query-patterns

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

FAQPage Schema

What is the best way to manage server state and caching in React apps?▼

Server state management in React is best handled using React Query to fetch data, configure stale time, and cache responses. This approach replaces manual boilerplate with typed query keys, background refetching, and predictable cache invalidation.

How do I implement optimistic updates with React Query mutations?▼

Optimistic updates with React Query involve applying mutation changes to the cached data immediately before the server responds. You configure typed query keys and rollback logic within the mutation hook to reflect changes instantly and handle errors gracefully.

How to configure QueryClient for data fetching and background refetching?▼

To configure data fetching and background refetching, initialize a QueryClient with custom retry and stale time options. Wrap your application with QueryClientProvider and use the provided hooks to automatically synchronize server state in the background.

Does React Query work well for infinite scroll and paginated lists?▼

React Query works well for infinite scroll and paginated lists by using specific hooks designed for sequential data fetching. It manages cache invalidation across lists and details automatically, ensuring UI consistency as users load more data.

Why use typed query keys for cache invalidation in TanStack React Query?▼

Typed query keys are used in TanStack React Query to ensure correct cache invalidation and predictable data access. Structuring keys hierarchically allows precise targeting when mutations occur, preventing stale UI across dependent dashboard queries.

When should I not use React Query for server state management?▼

You should not use React Query for server state management when dealing with purely client-side data that does not require synchronization, background refetching, or complex cache invalidation. Simple local UI state is better managed with standard React hooks or local state libraries.