Does it require specific monitoring tools?

The skill utilizes standard browser performance traces, R3F/Three stats, and memory timelines to gather evidence before recommending any code changes.

Is this skill suitable for mobile web optimization?

Yes, it includes guidance on capping Device Pixel Ratio (DPR) and scaling post-processing effects to ensure compatibility with lower-end mobile hardware.

How does this skill improve 3D performance in web apps?

It follows a systematic playbook to identify if bottlenecks are CPU or GPU bound and applies specific Three.js tactics like instancing, material reuse, and draw call reduction.

Can it help with React-specific lag in 3D scenes?

Yes, it provides strategies to avoid state updates in frame loops, use refs for frame-local values, and stabilize props to prevent expensive re-render cascades.

Performance Optimization

Name: Performance Optimization
Author: deadronos

bydeadronos

0•

Desarrollo de Videojuegos

Optimizes 3D web applications built with React Three Fiber and Three.js through a systematic measurement and diagnostic playbook.

This skill provides a structured methodology to identify and resolve performance bottlenecks in 3D web environments, specifically targeting React Three Fiber (R3F) and Three.js applications. It guides Claude through a rigorous process of measuring metrics like FPS and draw calls, classifying bottlenecks as CPU, GPU, IO, or Memory-bound, and applying surgical fixes. From implementing geometry instancing and material reuse to optimizing React state within frame loops, this skill ensures that complex 3D scenes—such as voxel engines or large-scale simulations—run smoothly with minimal jank and reduced resource consumption.

Características Principales

01Bottleneck classification for CPU, GPU, IO, and Memory

02R3F-specific optimizations for draw calls and frame-local state

03Regression guarding with automated linting, typing, and unit testing

04Evidence-driven workflow (Measure → Diagnose → Fix → Verify)

050 GitHub stars

06Advanced Three.js tactics including instancing and shadow map scaling

Casos de Uso

01Reducing frame drops and stuttering in complex 3D voxel environments

02Eliminating React re-render cascades within high-frequency animation loops

03Lowering GPU load by implementing instanced rendering and optimized material management

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deadronos/stellar-shell performance-optimization

For use in Claude.ai and ChatGPT

Características Principales

01Bottleneck classification for CPU, GPU, IO, and Memory

02R3F-specific optimizations for draw calls and frame-local state

03Regression guarding with automated linting, typing, and unit testing

04Evidence-driven workflow (Measure → Diagnose → Fix → Verify)

050 GitHub stars

06Advanced Three.js tactics including instancing and shadow map scaling

Casos de Uso

01Reducing frame drops and stuttering in complex 3D voxel environments

02Eliminating React re-render cascades within high-frequency animation loops

03Lowering GPU load by implementing instanced rendering and optimized material management

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deadronos/stellar-shell performance-optimization

For use in Claude.ai and ChatGPT