Does this skill support older Python versions?

While it prioritizes modern Python 3.10+ features, the core idioms and best practices are applicable across most modern Python 3 environments.

What are the benefits of using the src-layout recommended here?

The src-layout prevents accidental imports of the local package and ensures that tests run against the installed version of the code, following industry standards.

How does this skill assist with asynchronous programming?

It provides specific patterns for async/await, concurrent task management with asyncio.gather, and implementing timeouts for robust network operations.

Does this skill manage Python dependencies?

This skill focuses on language expertise; for dependency management and project setup, it is designed to work alongside uv-project-management.

Can it help me find performance bottlenecks?

Yes, it includes specialized commands and patterns for CPU profiling, line-by-line analysis, and memory tracking using tools like cProfile and scalene.

Modern Python Development

Name: Modern Python Development
Author: laurigates

bylaurigates

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Developer Tools

Enhances Python development with modern 3.10+ idioms, rigorous type safety, and optimized asynchronous patterns.

About

This skill empowers Claude with specialized expertise in modern Python development, emphasizing features introduced in Python 3.10 and later. It provides comprehensive guidance on implementing structural pattern matching, advanced type hinting, and asynchronous programming with asyncio. Beyond syntax, it enforces Pythonic idioms and software engineering best practices like SOLID principles and Dependency Injection. It is particularly useful for developers looking to refactor legacy code, optimize performance through profiling, or implement robust, type-safe backend services.

Key Features

SOLID principles and Pythonic design pattern enforcement
3 GitHub stars
Asynchronous programming and concurrency management
Performance profiling and interactive debugging workflows
Advanced type hinting and static analysis patterns
Modern Python 3.10+ syntax and feature implementation

Use Cases

Optimizing application performance using cProfile and memory profiling
Refactoring legacy scripts to modern, type-safe Python 3.10+ code
Architecting scalable asynchronous backend services and APIs

About

Key Features

SOLID principles and Pythonic design pattern enforcement
3 GitHub stars
Asynchronous programming and concurrency management
Performance profiling and interactive debugging workflows
Advanced type hinting and static analysis patterns
Modern Python 3.10+ syntax and feature implementation

Use Cases

Optimizing application performance using cProfile and memory profiling
Refactoring legacy scripts to modern, type-safe Python 3.10+ code
Architecting scalable asynchronous backend services and APIs