Agent skill
mobile-app-debugging
Debug issues specific to mobile applications including platform-specific problems, device constraints, and connectivity issues.
Install this agent skill to your Project
npx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/mobile-app-debugging
SKILL.md
Mobile App Debugging
Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Overview
Mobile app debugging addresses platform-specific issues, device hardware limitations, and mobile-specific network conditions.
When to Use
- App crashes on mobile
- Performance issues on device
- Platform-specific bugs
- Network connectivity issues
- Device-specific problems
Quick Start
Minimal working example:
Xcode Debugging:
Attach Debugger:
- Xcode → Run on device
- Set breakpoints in code
- Step through execution
- View variables
- Console logs
View Logs:
- Xcode → Window → Devices & Simulators
- Select device → View Device Logs
- Filter by app name
- Check system logs for crashes
Inspect Memory:
- Xcode → Debug → View Memory Graph
- Identify retain cycles
- Check object count
- Monitor allocation growth
---
Common iOS Issues:
App Crash (SIGABRT):
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| iOS Debugging | iOS Debugging |
| Android Debugging | Android Debugging |
| Cross-Platform Issues | Cross-Platform Issues |
| Mobile Testing & Debugging Checklist | Mobile Testing & Debugging Checklist |
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
websocket-implementation
Implement real-time bidirectional communication with WebSockets including connection management, message routing, and scaling. Use when building real-time features, chat systems, live notifications, or collaborative applications.
refactor-legacy-code
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
Sentiment Analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
flask-api-development
Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.
ML Model Explanation
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
Statistical Hypothesis Testing
Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing
Didn't find tool you were looking for?