python-patterns

Use Python type hints and Protocols to enforce strict typing statically. This Skill provides runnable examples demonstrating how to apply these techniques to improve code reliability and catch type errors before runtime.

The best way to handle async patterns in Python is by applying structured error handling techniques. This Skill demonstrates practical code organization and async patterns specifically designed for scalable, I/O-bound Python 3.10+ projects.

Refactor a module to use Python dataclasses to enforce immutability patterns and safer data handling. This Skill guides you through integrating modern tooling like Pydantic examples to structure your data robustly.

Yes, this Python patterns guidance explicitly targets Python 3.10+ projects. It covers modern best practices including type hints, dataclasses, and async patterns suitable for code creation, review, and educational contexts.

Use TypedDict when you need strict typing for dictionary structures with specific keys and value types. This Skill covers TypedDict alongside dataclasses and Protocols to help you choose the right structure for safer data handling.

Apply static typing techniques to your Python codebase to improve overall reliability and code quality. This Skill automates learning of strict typing, Protocols, and type hints to help you write more idiomatic, robust code.