Can it help reduce draw calls and SetPass calls?

Yes, it provides implementation patterns for material sharing, static/dynamic batching, and GPU instancing to significantly reduce the rendering overhead on the CPU.

Is it suitable for mobile-specific optimization?

Yes, it includes specific performance targets for mobile devices (30-60 FPS, <100 draw calls) and covers techniques like texture compression and mobile-friendly shader usage.

How does this skill help with Unity Profiler data?

It provides a structured workflow to interpret Profiler results, helping you distinguish between CPU-bound and GPU-bound issues to focus your optimization efforts where they have the most impact.

Does this skill cover Garbage Collection (GC) issues?

Absolutely. It emphasizes GC-free coding patterns and provides guidance on using UnityEngine.Pool for object and collection pooling to eliminate performance-stuttering GC spikes.

Unity Performance Optimization

Name: Unity Performance Optimization
Author: creator-hian

bycreator-hian

•

ゲーム開発

Optimizes Unity game performance through systematic profiling, draw call reduction, and efficient resource management.

概要

This skill empowers Claude to identify and resolve performance bottlenecks in Unity projects by providing expert guidance on CPU, GPU, and memory optimization. It covers critical areas such as the Unity Profiler workflow, draw call reduction via batching and GPU instancing, Level of Detail (LOD) systems, and memory management using advanced object pooling patterns. Whether targeting mobile, desktop, or VR platforms, the skill helps developers implement best practices for frame rate stabilization and resource efficiency to ensure a smooth player experience.

主な機能

2 GitHub stars
Systematic Unity Profiler analysis for CPU, GPU, and memory bottleneck identification
CPU performance enhancement using GC-free object pooling and collection management
Platform-specific performance benchmarking for Mobile, Desktop, and VR
GPU optimization through SRP Batcher, static batching, and GPU instancing
Visual optimization strategies including LOD groups and occlusion culling

ユースケース

Diagnosing and fixing low frame rates or stuttering in complex Unity scenes
Implementing efficient object pooling to eliminate garbage collection spikes during gameplay
Optimizing heavy rendering workloads to meet strict hardware constraints for mobile and VR

概要

主な機能

2 GitHub stars
Systematic Unity Profiler analysis for CPU, GPU, and memory bottleneck identification
CPU performance enhancement using GC-free object pooling and collection management
Platform-specific performance benchmarking for Mobile, Desktop, and VR
GPU optimization through SRP Batcher, static batching, and GPU instancing
Visual optimization strategies including LOD groups and occlusion culling

ユースケース

Diagnosing and fixing low frame rates or stuttering in complex Unity scenes
Implementing efficient object pooling to eliminate garbage collection spikes during gameplay
Optimizing heavy rendering workloads to meet strict hardware constraints for mobile and VR