python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. WHEN: Debugging slow Python code, profiling with cProfile/line_profiler, memory optimization, identifying bottlenecks, optimizing loops and data structures. WHEN NOT: Async optimization (use python-async-patterns), database query optimization (use sql-optimization-patterns), general debugging.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. WHEN: Debugging slow Python code, profiling with cProfile/line_profiler, memory optimization, identifying bottlenecks, optimizing loops and data structures. WHEN NOT: Async optimization (use python-async-patterns), database query optimization (use sql-optimization-patterns), general debugging.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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