Loli Profiler is a memory instrumentation tool for Android app and game developers. It supports CI and AI, helping developers optimize memory usage and performance. Works with Unreal Engine 4 and Unity Engine, reducing memory leaks and improving app stability.
git clone https://github.com/Tencent/loli_profiler.gitdocs/QUICK_START.md
Automate memory leak detection in Android applications during CI/CD processes.
Profile memory usage in real-time while developing complex games using Unreal Engine 4.
Generate AI-based reports on memory growth to identify optimization opportunities.
Attach the profiler to running applications for immediate memory analysis.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Tencent/loli_profilerCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the memory usage of my Android app, [APP_NAME], using LoliProfiler. Please provide insights on memory leaks and optimization opportunities based on the data collected during the profiling session.
### Memory Analysis Report for [APP_NAME] #### Overview - **Total Memory Used:** 150 MB - **Peak Memory Usage:** 200 MB #### Memory Leak Detection - Detected 3 potential memory leaks in the following components: - **Activity:** MainActivity - **Fragment:** DetailFragment - **Service:** BackgroundService #### Optimization Opportunities - **Graphic Assets:** Reduce the size of images by 30%. - **Data Caching:** Implement a more efficient caching strategy to minimize memory footprint. #### Recommendations - Utilize weak references for large objects to prevent memory leaks. - Regularly run profiling sessions to monitor memory usage and identify issues early on.
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