tanstack-query-best-practices

Name: tanstack-query-best-practices
Availability: InStock
Author: terna-cc

Provides TanStack Query best practices for React server state management.

Updated Feb 14, 2026

Search Tags:#best practices #performance #caching #state management #data fetching #tanstack query #react query

Ready to run

npx skills add https://github.com/terna-cc/support-sdk --skill tanstack-query-best-practices-terna-cc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tanstack-query-best-practices
Source: https://github.com/terna-cc/support-sdk/tree/main/.claude/skills/tanstack-query-best-practices
Command: npx skills add https://github.com/terna-cc/support-sdk --skill tanstack-query-best-practices-terna-cc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidelines and best practices for using TanStack Query (formerly React Query) to optimize data fetching, caching, mutations, and server state management in React applications, preventing common pitfalls and improving performance.

Core Features & Use Cases

Data Fetching Optimization: Learn to configure queries for efficient data retrieval and caching.
State Management: Implement robust mutation patterns, including optimistic updates and error handling.
Performance Tuning: Apply strategies for prefetching, parallel queries, and efficient data selection.
Use Case: When building a dashboard that displays real-time data from multiple sources, apply these best practices to ensure smooth loading states, accurate data, and minimal network requests.

Quick Start

Review the TanStack Query best practices documentation to improve your data fetching strategy.

Frequently Asked Questions about tanstack-query-best-practices

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

FAQPage Schema

What's the best way to handle data fetching and caching in React applications?▼

TanStack Query provides robust server state management by handling data fetching, caching, and mutations. You configure queries for efficient data retrieval, ensuring minimal network requests and smooth loading states across your application.

How do I implement optimistic updates and error handling for mutations in React Query?▼

Implement robust mutation patterns by applying optimistic updates before server confirmation. You should configure comprehensive error handling to rollback changes if the mutation fails, ensuring accurate data synchronization.

How does prefetching and parallel queries improve performance in TanStack Query?▼

Prefetching and parallel queries improve performance by loading data before it is needed and running multiple queries simultaneously. This reduces waterfall network requests and provides faster data availability for complex dashboards.

Does TanStack Query work with Server-Side Rendering (SSR) and infinite queries?▼

TanStack Query supports SSR integration for initial server-side data fetching and infinite queries for paginated data. It also includes offline support to manage server state robustly when network connectivity is intermittent.

Why should I use TanStack Query instead of global state management libraries for server data?▼

TanStack Query prevents common pitfalls in server state management by automatically handling caching, background updates, and stale data. This avoids the boilerplate required when forcing global state libraries to manage asynchronous server data.