python-performance

Profile and optimize Python code using cProfile, memory profilers, andperformance best practices.Triggers: profiling, optimization, cProfile, memory profiler, bottleneck,slow code, performance, benchmarking, py-spy, tracemallocUse when: debugging slow code, identifying bottlenecks, optimizing memory,benchmarking performance, production profilingDO NOT use when: async concurrency - use python-async instead.DO NOT use when: CPU/GPU system monitoring - use conservation:cpu-gpu-performance.Consult this skill for Python performance profiling and optimization.

// tip: Run this command in your terminal to install the skill