aii_python

What problem does it solve?

This Skill enforces consistent Python coding standards for experiment and evaluation scripts, ensuring maintainability, readability, and robust error handling.

Core Features & Use Cases

• Environment Setup: Guides users on setting up Python environments using uv and managing dependencies.
• Logging: Implements structured logging with loguru for detailed tracking and debugging.
• Error Handling: Mandates robust error handling with try/except blocks and the @logger.catch decorator.
• Code Structure: Promotes best practices like pathlib, type hints, and keyword arguments.
• Use Case: Ensure all data science experiments follow a uniform structure, making it easier to share, debug, and reproduce results across a team.

Quick Start

Follow the provided script pattern to create a new experiment script.