Does it support undo and redo functionality?

Absolutely. It features patterns for integrating temporal state tracking (zundo) to enable time-travel debugging and player undo/redo actions.

How does this skill help with game performance?

It provides optimized patterns for selector memoization, shallow comparisons, and batched updates to minimize re-renders in high-frequency game loops.

Can I implement save slots with this skill?

Yes, it includes specific implementation logic for managing multiple save slots and persisting partial state to local storage with migration support.

Is it compatible with Immer?

Yes, the patterns are designed to work with Immer middleware, allowing for clean, mutable-style updates to complex, nested game state objects.

Zustand Game Patterns

Name: Zustand Game Patterns
Author: deadronos

bydeadronos

Game Development

Manages complex game state using optimized Zustand patterns for performance, persistence, and time-travel debugging.

About

This skill provides production-ready architecture patterns for using Zustand in game development. It offers comprehensive guidance on modular store design, implementing robust save/load systems with local storage, and managing multiple save slots. Developers can leverage integrated patterns for undo/redo functionality, time-travel debugging, and advanced performance optimizations like selector memoization and batched updates. Whether you are building an RPG or a simulation game, these patterns ensure your state architecture is scalable, testable, and high-performing.

Key Features

Modular store architecture with slice-based state management
Advanced persistence systems for local storage and save slot management
0 GitHub stars
Integrated undo/redo and time-travel debugging capabilities
Performance optimization via shallow selectors and memoized computed state
Standardized testing patterns for game actions and side-effect subscriptions

Use Cases

Architecting scalable state for complex RPGs or strategy games
Optimizing React re-renders to maintain high frame rates in state-heavy games
Implementing a versioned save/load system with data migration support

About

Key Features

Modular store architecture with slice-based state management
Advanced persistence systems for local storage and save slot management
0 GitHub stars
Integrated undo/redo and time-travel debugging capabilities
Performance optimization via shallow selectors and memoized computed state
Standardized testing patterns for game actions and side-effect subscriptions

Use Cases

Architecting scalable state for complex RPGs or strategy games
Optimizing React re-renders to maintain high frame rates in state-heavy games
Implementing a versioned save/load system with data migration support