python-tooling

What problem does it solve?

This Skill addresses the complexities of Python project setup, dependency management, performance optimization, and continuous integration/delivery pipelines, enabling developers to build robust and efficient Python applications.

Core Features & Use Cases

• Dependency Management: Utilize UV for fast and reliable package installation and virtual environment management.
• Performance Profiling: Identify and resolve performance bottlenecks using tools like cProfile, line_profiler, and memory_profiler.
• Optimization Techniques: Apply best practices for code optimization, including list comprehensions, generators, and caching.
• Docker & CI/CD: Integrate Python projects into Docker containers and set up automated testing and deployment pipelines with GitHub Actions and pre-commit hooks.
• Use Case: Streamline your Python development workflow by setting up a new project with UV, optimizing a slow function, and configuring a GitHub Actions workflow to automatically test and lint your code on every push.

Quick Start

Use the python-tooling skill to set up a new Python project using UV and install pytest and ruff as development dependencies.