Can it help identify memory leaks?

Yes, it provides guidance on monitoring memory timelines, identifying detached nodes, and ensuring geometries and textures are properly disposed of.

Does it support React-specific optimizations?

Absolutely. It focuses on stabilizing props, using refs for frame-local values, and preventing expensive re-render cascades within the useFrame loop.

What tech stack is this playbook designed for?

It is specifically optimized for applications built with React, Three.js (R3F), and Vite, utilizing standard browser performance tools.

How does this skill help with low FPS in 3D games?

It uses a systematic workflow to measure CPU and GPU bottlenecks, then applies specific R3F tactics like instancing, material merging, and dynamic resolution scaling.

Performance Optimization Playbook

Name: Performance Optimization Playbook
Author: deadronos

bydeadronos

Desarrollo de Videojuegos

Optimizes 3D web applications by measuring metrics, diagnosing bottlenecks, and implementing efficient rendering patterns for R3F and Three.js.

Acerca de

This skill provides a systematic, evidence-driven workflow for improving the performance of React Three Fiber and Three.js applications. It guides developers through a disciplined 'measure-diagnose-fix-verify' process to resolve FPS drops, reduce draw calls, and optimize GPU/CPU usage. Whether you are dealing with heavy React re-renders or complex 3D scene graphs, this skill offers specific tactics for instancing, memory management, and shader optimization to ensure smooth 60 FPS gameplay in browser environments.

Características Principales

Evidence-driven optimization workflow (Measure → Diagnose → Fix → Verify)
GPU/CPU bottleneck classification and resolution strategies
3D rendering optimization for React Three Fiber and Three.js scenes
Integration with R3F stats and browser performance profiling
Memory leak detection and asset lifecycle management
0 GitHub stars

Casos de Uso

Reducing draw calls and triangle counts to fix FPS drops in complex 3D scenes
Optimizing React render cycles to prevent main-thread jank during gameplay
Identifying and fixing memory leaks in long-running browser-based incremental games

Acerca de

Características Principales

Evidence-driven optimization workflow (Measure → Diagnose → Fix → Verify)
GPU/CPU bottleneck classification and resolution strategies
3D rendering optimization for React Three Fiber and Three.js scenes
Integration with R3F stats and browser performance profiling
Memory leak detection and asset lifecycle management
0 GitHub stars

Casos de Uso

Reducing draw calls and triangle counts to fix FPS drops in complex 3D scenes
Optimizing React render cycles to prevent main-thread jank during gameplay
Identifying and fixing memory leaks in long-running browser-based incremental games