Does it offer benchmarking for code comparisons?

Yes, it includes a dedicated Benchmark class that calculates mean, standard deviation, and percentage improvements between different code implementations.

Which profiling tools does this skill support?

It provides patterns for industry-standard tools including cProfile, pstats, line_profiler, memory_profiler, tracemalloc, and the timeit module.

Can this skill profile asynchronous Python code?

Yes, it includes specialized patterns for profiling async coroutines, tracking execution duration across tasks, and printing async-specific stats.

How does it help with memory leak detection?

The skill utilizes tracemalloc snapshots and the memory-profiler package to track allocations and peak memory usage, helping you pinpoint where memory is being held.

Can I integrate these profiling patterns into my tests?

Absolutely. It includes patterns for using pytest to enforce performance budgets and detect regressions during your continuous integration process.

Performance Profiling & Optimization

Name: Performance Profiling & Optimization
Author: ricardoroche

byricardoroche

0•

분석 및 모니터링

Automates Python performance analysis using advanced profiling tools, memory tracking, and benchmarking strategies.

This skill empowers Claude to identify and resolve performance bottlenecks in Python applications through a comprehensive suite of profiling patterns. It provides standardized implementations for CPU and line-by-line analysis, detailed memory tracking with tracemalloc, asynchronous operation profiling, and rigorous benchmarking using timeit. Whether you are dealing with memory leaks, slow API responses, or inefficient algorithms, this skill ensures data-driven optimization by applying industry-standard tools and metrics to your development workflow.

주요 기능

01Granular line-by-line execution analysis for precise bottleneck detection

020 GitHub stars

03Comprehensive memory tracking using memory_profiler and tracemalloc

04Automated CPU profiling with cProfile decorators and stats analysis

05Asynchronous-aware profiling for modern Python coroutines and tasks

06Comparative benchmarking tools to validate performance improvements

사용 사례

01Detecting and fixing memory leaks or high peak memory usage in data-heavy tasks

02Identifying specific functions or lines of code causing slow execution times

03Comparing multiple algorithm implementations to find the most efficient solution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricardoroche/ricardos-claude-code performance-profiling

For use in Claude.ai and ChatGPT

Download Skill