Modern Python Development Guidelines

About

This skill provides a comprehensive framework for developing maintainable and type-safe Python applications. It establishes strict adherence to Python 3.12+ features, emphasizing async/await patterns, Pydantic v2 for data validation, and Ruff for high-performance linting and formatting. By standardizing project layouts (src-layout), hierarchical exception handling, and Google-style documentation, it ensures that AI-generated and human-written code remains consistent, testable, and scalable across complex modules and services.

Key Features

• Provides templates for hierarchical typed exceptions and context-managed resource handling.
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• Enforces strict type safety and the use of 'from __future__ import annotations'.
• Standardizes project structures using professional src-layout and flat-layout patterns.
• Implements Pydantic v2 models for robust data validation and modeling.
• Optimizes development workflows with Ruff linting and pytest testing patterns.

Use Cases

• Refactoring legacy Python code to implement strict typing and modern async patterns.
• Establishing consistent testing architectures with pytest and shared fixtures.
• Bootstrapping new Python 3.12+ projects with standardized configuration and packaging.