用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/xuelongqy/flutter_easy_refresh --skill flutter-performance命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
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| name | flutter-performance |
| description | Optimize the performance of your Flutter app |
| metadata | {"model":"models/gemini-3.1-pro-preview","last_modified":"Wed, 04 Mar 2026 21:54:56 GMT"} |
Analyzes and optimizes Flutter application performance by identifying jank, excessive rebuilds, and expensive rendering operations. Implements best practices for UI rendering, state management, and layout constraints. Utilizes Flutter DevTools, Chrome DevTools (for web), and integration tests to generate actionable performance metrics, ensuring frames render within the strict 16ms budget.
Evaluate the target application using the following decision tree to determine the optimization path:
traceAction and TimelineSummary.debugProfileBuildsEnabled and use Chrome DevTools Performance panel.--profile mode and launch Flutter DevTools.build() methods, localize setState(), use const constructors, and replace string concatenation with StringBuffer.saveLayer(), Opacity, Clip, and ImageFilter usage. Pre-cache complex images using RepaintBoundary.Establish a Performance Baseline To measure performance programmatically, create an integration test that records a performance timeline. STOP AND ASK THE USER: "Do you want to run a baseline integration test to capture timeline metrics before optimizing?" If yes, implement the following exact driver and test implementation:
test_driver/perf_driver.dart (Immutable operation):
import 'package:flutter_driver/flutter_driver.dart' as driver;
import 'package:integration_test/integration_test_driver.dart';
Future<void> main() {
return integrationDriver(
responseDataCallback: (data) async {
if (data != null) {
final timeline = driver.Timeline.fromJson(
data['scrolling_timeline'] as Map<String, dynamic>,
);
final summary = driver.TimelineSummary.summarize(timeline);
await summary.writeTimelineToFile(
'scrolling_timeline',
pretty: true,
includeSummary: true,
);
}
},
);
}
integration_test/scrolling_test.dart:
import 'package:flutter/material.dart';
import 'package:flutter_test/flutter_test.dart';
import 'package:integration_test/integration_test.dart';
import 'package:your_package/main.dart';
void main() {
final binding = IntegrationTestWidgetsFlutterBinding.ensureInitialized();
testWidgets('Performance profiling test', (tester) async {
await tester.pumpWidget(const MyApp());
final listFinder = find.byType(Scrollable);
final itemFinder = find.byKey(const ValueKey('target_item'));
await binding.traceAction(() async {
await tester.scrollUntilVisible(
itemFinder,
500.0,
scrollable: listFinder,
);
}, reportKey: 'scrolling_timeline');
});
}
Run the test using: flutter drive --driver=test_driver/perf_driver.dart --target=integration_test/scrolling_test.dart --profile --no-dds
Optimize UI Thread (Build Costs) If the UI thread exceeds 8ms per frame, refactor the widget tree:
setState calls as low in the widget tree as possible.const: Apply const constructors to short-circuit rebuild traversals.+ operators in loops with StringBuffer.// BAD: Rebuilds entire widget tree
setState(() { _counter++; });
// GOOD: Encapsulated state
class CounterWidget extends StatefulWidget { ... }
// Inside CounterWidget:
setState(() { _counter++; });
--profile mode on a physical device.operator == on Widget objects. It results in O(N²) behavior and degrades performance. Rely on const caching instead.AnimatedBuilder that does not depend on the animation. Build the static part once and pass it as the child parameter.List of children (e.g., Column, ListView) if most children are off-screen. Always use .builder constructors for lazy loading.saveLayer() unless absolutely necessary (e.g., dynamic overlapping shapes with transparency). Precalculate and cache static overlapping shapes.// GOOD: Efficient string building
final buffer = StringBuffer();
for (int i = 0; i < 1000; i++) {
buffer.write('Item $i');
}
final result = buffer.toString();
Optimize Raster Thread (Rendering Costs) If the Raster thread exceeds 8ms per frame, eliminate expensive painting operations:
Opacity widgets with semitransparent colors where possible.Opacity in animations with AnimatedOpacity or FadeInImage.Clip.antiAliasWithSaveLayer. Use borderRadius properties on containers instead of explicit clipping widgets.// BAD: Expensive Opacity widget
Opacity(
opacity: 0.5,
child: Container(color: Colors.red),
)
// GOOD: Semitransparent color
Container(color: Colors.red.withOpacity(0.5))
Fix Layout and Intrinsic Passes Identify and remove excessive layout passes caused by intrinsic operations (e.g., asking all children for their size before laying them out).
ListView.builder, GridView.builder) for long lists.ShrinkWrap: true on scrollables unless absolutely necessary.Handle Framework Breaking Changes (Validate-and-Fix)
Ensure the application complies with recent Flutter optimization changes regarding LayoutBuilder and OverlayEntry. These widgets no longer rebuild implicitly.
LayoutBuilder or OverlayEntry UI fails to update.setState.// FIX: Explicit setState for Overlay/Route changes
final newLabel = await Navigator.pushNamed(context, '/bar');
setState(() {
buttonLabel = newLabel;
});
Web-Specific Profiling
If profiling for Web, inject timeline events into Chrome DevTools by adding these flags to main() before runApp():
import 'package:flutter/widgets.dart';
import 'package:flutter/rendering.dart';
void main() {
debugProfileBuildsEnabled = true;
debugProfileBuildsEnabledUserWidgets = true;
debugProfileLayoutsEnabled = true;
debugProfilePaintsEnabled = true;
runApp(const MyApp());
}
STOP AND ASK THE USER: "Have you captured the Chrome DevTools performance profile? Please share the timeline event bottlenecks if you need specific refactoring."