domain:python

What problem does it solve?

Python projects often drift in conventions, leading to inconsistent type hints, testing, error handling, and dependency choices. This Skill codifies project conventions to improve maintainability and reliability across teams.

Core Features & Use Cases

• Type hints on all function signatures and class attributes
• Standardized testing practices (pytest) with clear fixtures and parametrization
• Consistent error handling with defined exception hierarchies
• Specified dependencies and project metadata to streamline setup (pyproject.toml, linting/typing tools)
• Use Case: Start a new Python project with these conventions to ensure clean APIs, robust tests, and predictable tooling.

Quick Start

Apply the Python conventions to a project by enabling type hints, configuring pytest-based tests, and adding the recommended tools (ruff, mypy) in pyproject.toml.