Mobile Performance Profiling
SkillDev toolsMobile app performance analysis and optimization
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Mobile Performance Profiling skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/mobile-development/skills/mobile-perf/SKILL.md and read by ahel’s review.
Overview
This skill provides mobile app performance analysis and optimization capabilities. It enables profiling with Xcode Instruments, Android Profiler, Flipper, and Flutter DevTools to identify and fix performance issues.
Allowed Tools
bash- Execute profiling tools and build commandsread- Analyze performance reports and profileswrite- Generate optimization configurationsedit- Update performance-related codeglob- Search for performance filesgrep- Search for patterns
Capabilities
Xcode Instruments
-
Time Profiler
- Profile CPU usage
- Identify hot paths
- Analyze call trees
- Measure function durations
-
Allocations
- Track memory allocations
- Identify memory leaks
- Analyze retain cycles
- Monitor heap growth
-
Core Animation
- Profile rendering performance
- Identify offscreen renders
- Measure frame rates
- Detect layer issues
Android Profiler
-
CPU Profiler
- Record method traces
- Analyze thread activity
- Identify CPU bottlenecks
- Profile startup time
-
Memory Profiler
- Track allocations
- Capture heap dumps
- Identify memory leaks
- Analyze GC events
-
Network Profiler
- Monitor requests
- Analyze response times
- Profile bandwidth usage
React Native
-
Flipper Performance
- Monitor React renders
- Profile JavaScript thread
- Analyze bridge communication
- Track native modules
-
Hermes Profiler
- Profile Hermes engine
- Analyze bytecode execution
- Optimize bundle size
Flutter DevTools
- Performance Overlay
- Monitor frame rendering
- Identify jank
- Profile widget rebuilds
- Analyze timeline
Metrics
-
App Startup
- Cold start optimization
- Warm start measurement
- Hot start profiling
- Deferred initialization
-
Memory Management
- Peak memory usage
- Memory warnings handling
- Image caching strategies
- Object pooling
-
Rendering Performance
- Frame rate maintenance
- Scroll performance
- Animation smoothness
- Layout optimization
Target Processes
mobile-performance-optimization.js- Performance tuningmobile-testing-strategy.js- Performance testingjetpack-compose-ui.js- Compose optimizationswiftui-app-development.js- SwiftUI optimization
Dependencies
- Xcode Instruments
- Android Studio Profiler
- Flipper
- Flutter DevTools
Usage Examples
Instruments Command Line
# Record Time Profiler trace
xcrun xctrace record --device "iPhone 15 Pro" \
--template "Time Profiler" \
--attach "MyApp" \
--time-limit 30s \
--output ~/Desktop/profile.trace
# Export trace data
xcrun xctrace export --input ~/Desktop/profile.trace \
--xpath '/trace-toc/run/tracks/track[@name="Time Profiler"]' \
--output ~/Desktop/profile_data.xml
Android Profiler Commands
# Capture CPU trace
adb shell am profile start com.example.myapp /data/local/tmp/profile.trace
# Stop and pull trace
adb shell am profile stop com.example.myapp
adb pull /data/local/tmp/profile.trace ./profile.trace
# Capture heap dump
adb shell am dumpheap com.example.myapp /data/local/tmp/heap.hprof
adb pull /data/local/tmp/heap.hprof ./heap.hprof
React Native Performance Optimization
// Optimize list rendering
import { FlashList } from '@shopify/flash-list';
const OptimizedList = () => {
const renderItem = useCallback(({ item }) => (
<MemoizedListItem item={item} />
), []);
return (
<FlashList
data={items}
renderItem={renderItem}
estimatedItemSize={100}
keyExtractor={item => item.id}
/>
);
};
// Memoize expensive components
const MemoizedListItem = memo(({ item }) => {
return (
<View style={styles.item}>
<Text>{item.title}</Text>
</View>
);
}, (prev, next) => prev.item.id === next.item.id);
// Optimize images
import FastImage from 'react-native-fast-image';
const OptimizedImage = ({ uri }) => (
<FastImage
source={{ uri, priority: FastImage.priority.normal }}
resizeMode={FastImage.resizeMode.cover}
style={styles.image}
/>
);
SwiftUI Performance
// Optimize view updates
struct OptimizedView: View {
@State private var items: [Item] = []
var body: some View {
List {
ForEach(items) { item in
ItemRow(item: item)
.equatable() // Prevent unnecessary redraws
}
}
}
}
// Use Equatable for custom views
struct ItemRow: View, Equatable {
let item: Item
static func == (lhs: ItemRow, rhs: ItemRow) -> Bool {
lhs.item.id == rhs.item.id
}
var body: some View {
Text(item.title)
}
}
// Lazy loading
struct LazyImageView: View {
let url: URL
var body: some View {
AsyncImage(url: url) { phase in
switch phase {
case .empty:
ProgressView()
case .success(let image):
image.resizable().aspectRatio(contentMode: .fit)
case .failure:
Image(systemName: "photo")
@unknown default:
EmptyView()
}
}
}
}
Compose Performance
// Optimize recomposition
@Composable
fun OptimizedList(items: List<Item>) {
LazyColumn {
items(
items = items,
key = { it.id }
) { item ->
// Stable key prevents unnecessary recomposition
ItemCard(item = item)
}
}
}
// Use derivedStateOf for computed values
@Composable
fun SearchableList(items: List<Item>, query: String) {
val filteredItems by remember(items, query) {
derivedStateOf {
items.filter { it.title.contains(query, ignoreCase = true) }
}
}
LazyColumn {
items(filteredItems, key = { it.id }) { ItemCard(it) }
}
}
// Use remember for expensive calculations
@Composable
fun ExpensiveView(data: ComplexData) {
val processedData = remember(data) {
expensiveCalculation(data)
}
Text(processedData.result)
}
Quality Gates
- App startup < 2s (cold), < 1s (warm)
- Frame rate >= 60fps (120fps for ProMotion)
- Memory usage within platform limits
- No memory leaks detected
- Scroll performance smooth
Related Skills
mobile-testing- Performance testingreact-native-dev- RN optimizationflutter-dart- Flutter optimizationkotlin-compose- Compose optimization
Version History
- 1.0.0 - Initial release
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
mobile-performance-profiling- Source
- github.com/a5c-ai/babysitter
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