Native App Performance

The native-app-performance skill enables AI agents to analyze and optimize the runtime efficiency of native mobile applications. It focuses on identifying bottlenecks in memory usage, battery consumption, and CPU load specific to iOS and Android environments.

When to use it

• Diagnosing why a native app is draining battery faster than expected during background tasks.
• Identifying memory leaks causing crashes or excessive restarts in long-running native sessions.
• Optimizing startup times for native applications built with Swift, Kotlin, or C++.
• Evaluating the performance impact of recent code changes on device hardware resources.

Key capabilities

• Analyzes memory allocation and garbage collection patterns in native code.
• Monitors CPU utilization spikes during specific user interactions or rendering cycles.
• Assesses battery drain metrics relative to active app processes.
• Provides actionable recommendations for optimizing native framework usage.

Example prompts

• "Analyze the current performance profile of my iOS app and suggest fixes for high memory usage."
• "Why is my Android native module causing a spike in CPU temperature during image processing?"
• "Optimize the startup sequence of this native application to reduce launch time by at least 20%."

Tips & gotchas

Ensure you have access to device logs or profiling tools (like Xcode Instruments or Android Profiler) before running deep analysis, as the skill relies on accurate telemetry data. Results may vary significantly based on the specific hardware generation and OS version of the target devices.