Can this help with memory leaks?

Yes, it includes specific patterns for memory profiling to track allocations and provides strategies like using __slots__ and generators to reduce memory overhead.

What tools does this skill help me use?

It provides comprehensive guidance and implementation patterns for using cProfile, line_profiler, memory_profiler, py-spy, and timeit.

Does it support production debugging?

Yes, the skill includes patterns for using py-spy, which allows for non-intrusive profiling of running Python processes without restarting the application.

When should I use this skill?

Use this skill whenever you encounter slow execution times, high CPU usage, or excessive memory consumption in your Python applications.

Python Performance Optimization

Name: Python Performance Optimization
Author: Tahir-yamin

byTahir-yamin

•

Developer Tools

Profiles and optimizes Python code using CPU and memory profilers to identify and resolve performance bottlenecks.

This Claude Code skill provides a comprehensive framework for identifying, analyzing, and resolving performance issues in Python applications. It equips developers with the tools and patterns necessary for deep CPU and memory profiling using industry-standard libraries like cProfile, line_profiler, and py-spy. Beyond diagnosis, the skill offers concrete implementation patterns for algorithmic efficiency, memory-safe data processing with generators, and high-performance numerical operations with NumPy, ensuring that Python applications run at peak efficiency in both development and production environments.

Key Features

01Memory leak detection and optimization using memory-profiler and __slots__

02Deep CPU and line-by-line profiling with cProfile and line_profiler

03Performance-optimized coding patterns for loops, strings, and data lookups

04Production-safe profiling and flamegraph generation with py-spy

05Advanced optimization techniques including NumPy vectorization and LRU caching

063 GitHub stars

Use Cases

01Migrating complex Python logic to high-performance vectorized operations

02Reducing memory footprints for applications running in containerized environments

03Debugging slow API endpoints or long-running data processing pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tahir-yamin/dev-engineering-playbook python-performance-optimization

For use in Claude.ai and ChatGPT

Download Skill