How does this skill help with Unity optimization?

It automates the profiling process, allowing Claude to run benchmarks, collect frame snapshots, and identify exactly which scripts or assets are causing performance drops.

Can it detect Garbage Collection (GC) issues?

Yes, it monitors gcAllocBytes and identifies patterns causing GC spikes, recommending optimizations like object pooling or StringBuilder usage.

What rendering metrics does it analyze?

It captures batches, draw calls, and GPU frame times to help you optimize the rendering pipeline and identify material or shader issues.

Does this require the Unity Editor to be open?

Yes, this skill utilizes a CLI tool to control and poll the Unity Editor, requiring an active project instance to gather real-time performance data.

Unity Performance Workflow

Name: Unity Performance Workflow
Author: bigdra50

bybigdra50

Game Development

Optimizes Unity game performance through automated profiling, bottleneck identification, and actionable diagnostic reporting.

About

The unity-perf skill provides a structured workflow for diagnosing and resolving performance issues within Unity projects. By integrating with the unity-cli, it automates the sequence of entering Play Mode, triggering the Unity Profiler, and capturing high-resolution frame data. It is specifically designed to help developers identify CPU/GPU bottlenecks, analyze Garbage Collection (GC) spikes, and optimize rendering batches. Whether you are troubleshooting low FPS or high memory usage, this skill provides the necessary data and best-practice checklists to streamline the optimization process directly within your AI-assisted development environment.

Key Features

0 GitHub stars
Detailed CPU and GPU frame time analysis across multiple frames
Context-aware optimization checklists for CPU, GPU, and memory
Garbage Collection (GC) spike detection and heap allocation tracking
Draw call and batching efficiency diagnostics
Automated Play Mode profiling and snapshot collection

Use Cases

Optimizing rendering performance by identifying draw call bottlenecks
Reducing memory allocation and GC pressure to eliminate runtime lag
Diagnosing frame rate drops and stuttering in complex Unity scenes

About

Key Features

0 GitHub stars
Detailed CPU and GPU frame time analysis across multiple frames
Context-aware optimization checklists for CPU, GPU, and memory
Garbage Collection (GC) spike detection and heap allocation tracking
Draw call and batching efficiency diagnostics
Automated Play Mode profiling and snapshot collection

Use Cases

Optimizing rendering performance by identifying draw call bottlenecks
Reducing memory allocation and GC pressure to eliminate runtime lag
Diagnosing frame rate drops and stuttering in complex Unity scenes