Mobile development

Skill sohaibdevv/AI-AGENT-SKILLS/skills/mobile-development

Build iOS/Android apps that are performant, offline-capable, accessible, and battery-efficientFrom its SKILL.md

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npx -y skills add sohaibdevv/AI-AGENT-SKILLS --skill mobile-development

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SKILL.md

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Overview

Mobile apps have unique constraints: unreliable networks, limited battery, strict platform guidelines, and app store review. This skill applies mobile-specific engineering discipline.

When to Use

Before implementing a new mobile feature
When an app is slow, crashes, or drains battery
Before submitting to the app store

Process

Step 1: Design for offline-first

Assume the network is unavailable. Design data flows that work offline and sync when connectivity returns. Use optimistic UI updates.

Step 2: Main thread discipline

No I/O on the main thread
No heavy computation on the main thread
Profile with Instruments (iOS) or Android Profiler for frame drops

Target: 60fps during all user interactions.

Step 3: Memory management

No strong reference cycles (iOS: use weak/unowned)
Instrument for memory leaks before release
Release large resources when the app backgrounds

Step 4: Battery efficiency

Minimize background work
Batch network requests
Use push over polling
Reduce GPS/sensor usage frequency when precision isn't needed

Step 5: App size

Analyze app size before each release
Use on-demand resources for large assets
Target: < 30MB download for initial install

Step 6: Crash rate

Integrate crash reporting from day one (Crashlytics, Sentry)
Fix crashes before shipping new features
Target: < 0.1% crash-free sessions

Step 7: Accessibility

Dynamic Type support (iOS) / font scaling (Android)
VoiceOver (iOS) / TalkBack (Android) tested
Touch targets ≥ 44pt × 44pt
Color contrast meets WCAG AA

Step 8: App store compliance

Review App Store / Play Store guidelines for relevant categories before implementing
Test on oldest supported OS version
Implement required privacy labels/permissions honestly

Verification Requirements

Offline state handled gracefully
No I/O or heavy computation on main thread
Profiled: 60fps during interactions
Crash reporting integrated
Accessibility tested with platform screen reader
App size within budget
Tested on oldest supported OS version