python-coding

What problem does it solve?

This Skill solves the challenge of maintaining high-quality, secure, and consistent Python codebases. It provides a comprehensive framework of best practices and tools, eliminating the need for developers to manually enforce coding standards, manage dependencies, or remember every security guideline. This ensures that all generated or reviewed Python code is production-ready, reducing debugging time and technical debt.

Core Features & Use Cases

• Automated Quality Assurance: Integrates tools like ruff for linting/formatting, pyrefly for type checking, and interrogate for docstring coverage, ensuring code adheres to high standards without manual oversight.
• Robust Development Workflow: Guides on using uv for project management, pydantic for data validation, structlog for structured logging, and pytest for comprehensive testing, streamlining the development process.
• Enhanced Security & Reliability: Enforces principles for secure secret management, SQL/command injection prevention, and structured error handling, making your applications more resilient and less vulnerable.
• Use Case: When developing a new Python microservice, activate this skill to automatically generate code snippets, review existing code, or guide architectural decisions, ensuring every component adheres to the latest best practices for security, performance, and maintainability.

Quick Start

Generate a Python function that calculates the factorial of a number, ensuring it follows all best practices for type hinting, docstrings, error handling, and includes a basic unit test.