Mobile App Crash Log Analysis and Root Cause Diagnosis
Diagnose mobile app crashes and find root causes instantly
What You Can Do
Analyze mobile app crash logs to automatically identify root causes, stack trace patterns, and contributing factors. You provide the crash logs (iOS, Android, or any mobile platform) and Claude extracts key signals, correlates errors, and generates actionable diagnostics to fix bugs faster. Works with minified code, native crashes, and complex multi-threaded scenarios.
Features
Example Output
Input: Android crash log with NullPointerException in RecyclerView adapter
Output:
✓ Root Cause: Null list item in adapter notifyDataSetChanged() before data binding
✓ File: app/src/main/java/com/example/FeedAdapter.java line 142
✓ Fix: Add null check before adapter.notifyItemInserted()
✓ Severity: High — affects 2.3% of sessions
✓ Reproduction: Scroll while network request is in flight
Input: iOS crash from background task timeout
Output:
✓ Root Cause: Background task exceeds 30s limit due to synchronous disk I/O on main thread
✓ File: AppDelegate.swift line 89
✓ Fix: Move DB write to background queue using DispatchQueue.global().async
✓ Prevention: Use Instruments to detect Main Thread hangs
What's Included
- SKILL.md: Complete crash log analysis workflow with decision trees for iOS, Android, and cross-platform crashes
- Crash Classification Checklist: Quick reference for severity levels and impact assessment
- Stack Trace Template: Structured format to organize and normalize crash logs for analysis
- Reproduction Guide Template: Document steps to recreate issues for your QA team
- Fix Verification Workflow: Confirm that code changes resolve the root cause
Who It's For
- Mobile developers debugging production issues and app crashes
- QA engineers and test automation specialists investigating stability problems
- DevOps and SRE teams monitoring app health and crash trends
- Engineering managers triaging bugs and estimating fix complexity
- Game developers analyzing engine crashes and performance bottlenecks
Best For
- Diagnosing app crashes reported by users in production
- Analyzing batches of crash logs to find systemic patterns
- Understanding stack traces from memory leaks and out-of-memory errors
- Reproducing timing-dependent bugs and race conditions
- Prioritizing which crashes to fix first based on impact and affected users
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