When should I choose Zustand over the Context API?

Use the Context API for low-frequency updates like themes or auth state. Choose Zustand for high-frequency updates or complex global state to avoid the performance overhead of re-rendering the entire component tree.

Can I use this for both small and large React projects?

Absolutely. It provides a range of solutions from basic useState/useReducer patterns for small components to scalable store architectures for enterprise-level applications.

Does this skill help with data fetching?

Yes, it provides deep integration patterns for TanStack Query (React Query) and SWR, covering caching, stale-while-revalidate logic, and optimistic UI updates.

Does it support TypeScript?

Yes, all state management patterns, store definitions, and custom hooks provided by this skill include full TypeScript type safety and best practices.

React State Management

Name: React State Management
Author: JosiahSiegel

byJosiahSiegel

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開発者ツール

Architects scalable React state solutions using Context API, Zustand, Jotai, and TanStack Query.

概要

This skill provides specialized guidance for designing and implementing robust state management architectures in React applications. It helps developers move beyond simple state patterns to master complex global stores, atomic state, and server-side data synchronization. By offering expert implementation patterns for libraries like Zustand, Jotai, and TanStack Query, alongside optimized Context API strategies, the skill ensures that applications remain performant, maintainable, and free from common pitfalls like prop drilling or unnecessary re-renders.

主な機能

Comprehensive server state management using TanStack Query and SWR
7 GitHub stars
State normalization strategies for complex nested data structures
Expert tool selection between Context, Zustand, Jotai, and useReducer
Implementation of optimistic updates and infinite scrolling logic
Optimized Context API patterns with provider splitting to prevent re-renders

ユースケース

Implementing high-performance server-state caching with automated refetching
Migrating complex prop-drilled components to a centralized Zustand or Jotai store
Designing atomic state systems for granular UI updates in data-heavy dashboards

概要

主な機能

Comprehensive server state management using TanStack Query and SWR
7 GitHub stars
State normalization strategies for complex nested data structures
Expert tool selection between Context, Zustand, Jotai, and useReducer
Implementation of optimistic updates and infinite scrolling logic
Optimized Context API patterns with provider splitting to prevent re-renders

ユースケース

Implementing high-performance server-state caching with automated refetching
Migrating complex prop-drilled components to a centralized Zustand or Jotai store
Designing atomic state systems for granular UI updates in data-heavy dashboards