From antigravity-awesome-skills
Profiles and optimizes Python code using cProfile, memory profilers, and performance best practices. Use for debugging slow code, bottlenecks, CPU/memory issues, or improving app performance.
npx claudepluginhub mit-network/antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.
Profiles and optimizes Python code using cProfile, memory profilers, and performance best practices. Use for debugging slow code, bottlenecks, CPU/memory issues, or improving app performance.
Profiles and optimizes Python code using cProfile, memory profilers, and best practices. Use for debugging slow code, bottlenecks, CPU/memory usage, I/O, and data pipelines.
Profiles and optimizes Python code using cProfile, timeit, memory profilers, and best practices for bottlenecks, slow execution, high memory, and latency.
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.