Help us improve
Share bugs, ideas, or general feedback.
From antigravity-awesome-skills
Profiles and optimizes Python code using cProfile, memory profilers, and best practices. Use for debugging slow code, bottlenecks, CPU/memory issues, and app performance.
npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:python-performance-optimizationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.
Profiles Python code using cProfile and memory profilers, identifies bottlenecks, and applies optimization best practices. For debugging slow code and reducing CPU/memory usage.
Profiles and optimizes Python code using cProfile, timeit, memory profilers, and best practices for bottlenecks, slow execution, high memory, and latency.
Profiles Python code for bottlenecks using cProfile and py-spy, applies optimization patterns like generators and NumPy, tunes memory with tracemalloc, and benchmarks with pytest-benchmark.
Share bugs, ideas, or general feedback.
Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.