mobile-performance
App startup, memory management, battery efficiency, network optimization, and profiling tools
معلومات المصدر
- المستودع
- cosmicstack-labs/mercury-agent-skills
- آخر نشاط في المصدر
- ١٠ مايو ٢٠٢٦ في ٠٦:٢٩
- لغة SKILL.md المكتشفة
- الإنجليزية
- النجوم
- ٤٧٦
- التفرعات
- ٦٣
خيارات التثبيت
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مراجعة ملفات المصدر
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عرض SKILL.md
SKILL.md
تعليمات المصدر · معاينة للقراءة فقط- name
- mobile-performance
- description
- App startup, memory management, battery efficiency, network optimization, and profiling tools
- metadata
- {"author":"cosmicstack-labs","version":"1.0.0","category":"mobile","tags":["mobile","performance","profiling","optimization","ios","android"]}
# Mobile Performance
Profile, diagnose, and optimize mobile app performance.
## Key Metrics
| Metric | Target | Tool |
|--------|--------|------|
| Cold Start | <1.5s | Xcode Organizer, Play Console |
| Warm Start | <0.5s | Systrace, os_signpost |
| Frames | 60fps (16ms) | Profile GPU, Perfetto |
| APK/IPA Size | <50MB | size-report, analyzer |
| Memory | <150MB | Xcode Memory Debugger, Memory Profiler |
| Network Latency | <200ms p95 | Proxyman, Charles |
## Startup Optimization
### iOS
- Reduce dynamic framework loading (prefer static libraries)
- Lazy-load non-critical services
- Profile with `Instruments - App Launch`
- Use `dispatch_once` for singletons
### Android
- Apply `App Startup` library for content providers
- Profile with `Android Studio - Startup Profiler`
- Use baseline profiles (Android 12+)
- Defer heavy init to background threads
## Memory Management
- Watch for retain cycles (weak/unowned references)
- Image caching: use NSCache/LruCache with size limits
- Monitor for OOMs in production with crash reporting
- Release view controllers when off-screen
## Network Optimization
- HTTP/2 multiplexing for concurrent requests
- Response caching with ETags
- Prefetch data predictively
- Compress with Brotli or gzip
- Use Protocol Buffers over JSON for large payloads
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