Define Python ≥3.10 coding standards for naming, type hints, imports, and docstrings.
npx skills add https://github.com/MattyMroz/Bazy_Danych --skill python-mattymroz
Please help me install this Agent Skill. Skill: python Source: https://github.com/MattyMroz/Bazy_Danych/tree/main/.github/skills/python Command: npx skills add https://github.com/MattyMroz/Bazy_Danych --skill python-mattymroz
This Skill provides a complete reference for writing, reviewing, and refactoring Python ≥3.10 code according to established standards, enhancing code quality and maintainability.
mypy configurations, and complex type usage.@dataclass, Protocols, and lazy imports for scalable projects.Use the python skill to get fast references and standards for structuring large Python projects, including typing, linting, and documentation.
High-intent search queries and answers about installing and using this skill.
Python type hints are best enforced using strict typing guidelines and mypy configurations, which validate complex type usage during static analysis. This approach catches type errors early and ensures code consistency across large codebases without runtime overhead.
Writing consistent Google-style docstrings for Python functions requires following defined documentation practices that standardize parameter descriptions, return types, and behavioral notes. This ensures code is easy to understand, review, and audit across development teams.
Yes, this Python coding reference supports type checking and advanced features specifically for Python 3.10 and above. It guides strict typing, mypy configurations, and complex type usage to maintain high code quality in modern projects.
You should use dataclasses and Protocols in Python when building scalable projects that require clear data structures and structural subtyping. These advanced features reduce boilerplate and enable flexible, maintainable architectures across large codebases.
tenzirEnforces Tenzir's Python coding standards using uv, ruff, mypy, and pytest.
ianyimiEnforce global coding conventions across codebases during linting, formatting, and reviews.
lklimekEnforce Python coding standards including PEP 8, type hinting, testing, and error handling.
kellyson520Run architecture checks, style checks, and unit tests locally for Python projects.