How does this skill help with Python 3.13 features?

It provides specific instructions on enabling and benchmarking the experimental JIT compiler and free-threaded (no-GIL) mode to assess real-world performance gains and compatibility.

Can I use this for profiling production services?

Yes, the skill includes patterns for using py-spy to attach to running processes by PID, allowing you to profile live workers without modifying or restarting the code.

Does it cover memory leak detection?

It focuses on memory optimization techniques and utilizes memory_profiler for line-by-line analysis to identify high-usage areas and inefficient data structures.

Is this skill compatible with AsyncIO applications?

Absolutely. It identifies common async anti-patterns, such as blocking the event loop with synchronous calls, and provides high-performance concurrent patterns using asyncio.gather and to_thread.

Python Advanced Profiling & Optimization

Name: Python Advanced Profiling & Optimization
Author: Agentient

byAgentient

Analytics & Monitoring

Optimizes Python application performance through advanced profiling, memory management, and modern Python 3.13 features.

About

This skill empowers developers to identify and resolve performance bottlenecks using industry-standard tools like cProfile and py-spy. It provides specialized guidance on memory optimization techniques such as __slots__ and generators, explains how to leverage experimental Python 3.13 features like the JIT compiler and free-threaded (no-GIL) mode, and identifies common async anti-patterns to ensure high-concurrency applications run efficiently. Whether you are debugging a slow API or scaling a data pipeline, this skill provides the systematic analysis required for professional-grade Python tuning.

Key Features

Comprehensive CPU profiling using cProfile and py-spy flame graphs
Memory footprint reduction via slots, generators, and array modules
0 GitHub stars
Implementation guides for Python 3.13 JIT and free-threaded modes
AsyncIO performance tuning and event loop optimization patterns
Production-safe profiling for running Uvicorn and Gunicorn workers

Use Cases

Benchmarking multi-threaded performance gains in Python 3.13 no-GIL environments
Identifying slow functions in complex data processing pipelines
Reducing memory overhead for high-volume object instances in web servers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit python-advanced-profiling-and-optimization

For use in Claude.ai and ChatGPT

Download Skill

GitHub