How does this skill help identify Flutter performance bottlenecks?

It guides you through a 'Measurement First' workflow using Flutter DevTools, providing specific commands and metrics to track like frame rendering time, memory allocation patterns, and CPU usage.

Does it support the new Impeller rendering engine?

Absolutely. It includes guidance on leveraging Impeller for predictable performance and eliminating shader compilation jank on both iOS and Android.

When does this skill recommend using Isolates?

The skill identifies operations that exceed the 16ms frame gap—such as large JSON parsing, image processing, or complex database queries—and provides code patterns for Isolate.run() and long-lived isolates.

Can this skill help with Flutter memory leaks?

Yes, it provides best practices for the dispose pattern, identifies risks like retaining BuildContext in closures, and explains how to use DevTools Memory View to compare snapshots.

Flutter Performance Optimizer

Name: Flutter Performance Optimizer
Author: aaronbassett

byaaronbassett

Mobile Development

Optimizes Flutter applications by diagnosing rendering jank, managing memory leaks, implementing isolates, and reducing app download size.

소개

The Flutter Performance skill transforms Claude into an expert performance engineer capable of auditing and refining Dart code for maximum efficiency. It provides structured guidance on the 'measurement first' workflow using Flutter DevTools, helps developers implement advanced rendering optimizations like RepaintBoundaries and the Impeller engine, and offers patterns for effective memory management. Whether you are struggling with frame drops during animations, high memory consumption, or excessive app bundle sizes, this skill provides the implementation patterns and profiling strategies needed to build high-performance, production-ready Flutter apps.

주요 기능

Advanced memory management and leak detection patterns for complex widget trees
Isolate and concurrency implementation for heavy CPU-bound background tasks
Comprehensive build optimization using const constructors and localized state management
Rendering performance tuning to eliminate jank and achieve 60/120 FPS
Strategic app size reduction through deferred loading and resource optimization
0 GitHub stars

사용 사례

Debugging and fixing UI stuttering or frame drops in complex list views
Refactoring heavy computational logic into isolates to prevent UI blocking
Analyzing and minimizing large application bundles for app store optimization

소개

주요 기능

Advanced memory management and leak detection patterns for complex widget trees
Isolate and concurrency implementation for heavy CPU-bound background tasks
Comprehensive build optimization using const constructors and localized state management
Rendering performance tuning to eliminate jank and achieve 60/120 FPS
Strategic app size reduction through deferred loading and resource optimization
0 GitHub stars

사용 사례

Debugging and fixing UI stuttering or frame drops in complex list views
Refactoring heavy computational logic into isolates to prevent UI blocking
Analyzing and minimizing large application bundles for app store optimization