mobile-performance
App startup, memory management, battery efficiency, network optimization, and profiling tools
Informations de source
- Dépôt
- cosmicstack-labs/mercury-agent-skills
- Dernière activité de la source
- 10 mai 2026 à 06:29
- Langue détectée de SKILL.md
- anglais
- Étoiles
- 476
- Forks
- 63
Options d'installation
Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.
Vérifiez les fichiers source
Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.
Affichage de SKILL.md
SKILL.md
Instructions source · Aperçu en lecture seule- 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
Voir sur GitHub