If your Python code is running slower than you'd like, this walks you through the systematic process of finding and fixing bottlenecks. It covers CPU profiling with cProfile, memory analysis, and optimization best practices for everything from database queries to I/O operations. The skill includes an implementation playbook with concrete patterns and examples. It's most useful when you're debugging sluggish applications or optimizing data pipelines, though it expects you to bring specific performance problems rather than theoretical questions. The approach is methodical: clarify what you're trying to speed up, profile to find the actual bottlenecks, then apply targeted fixes with verification steps.
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill python-performance-optimization