mobile-performance

GitHub

用于分析和优化移动应用性能,涵盖启动速度、内存管理、电池效率及网络优化。提供iOS与Android的关键指标目标、具体优化工具及最佳实践建议。

categories/mobile/mobile-performance/SKILL.md cosmicstack-labs/mercury-agent-skills

Trigger Scenarios

需要诊断App启动慢的问题 分析应用内存泄漏或占用过高 优化网络请求延迟和流量 提升App帧率或降低包体积

Install

npx skills add cosmicstack-labs/mercury-agent-skills --skill mobile-performance -g -y
More Options

Non-standard path

npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/mobile/mobile-performance -g -y

Use without installing

npx skills use cosmicstack-labs/mercury-agent-skills@mobile-performance

指定 Agent (Claude Code)

npx skills add cosmicstack-labs/mercury-agent-skills --skill mobile-performance -a claude-code -g -y

安装 repo 全部 skill

npx skills add cosmicstack-labs/mercury-agent-skills --all -g -y

预览 repo 内 skill

npx skills add cosmicstack-labs/mercury-agent-skills --list

SKILL.md

Frontmatter
{
    "name": "mobile-performance",
    "metadata": {
        "tags": [
            "mobile",
            "performance",
            "profiling",
            "optimization",
            "ios",
            "android"
        ],
        "author": "cosmicstack-labs",
        "version": "1.0.0",
        "category": "mobile"
    },
    "description": "App startup, memory management, battery efficiency, network optimization, and profiling tools"
}

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

Version History

  • 38e2523 Current 2026-07-05 19:40

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Metadata

Files
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Version
38e2523
Hash
5b5710df
Indexed
2026-07-05 19:40

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