Reference idiomatic Python 3.11+ patterns including comprehensions, generators, and Pydantic v2 validation.
npx skills add https://github.com/mauromedda/agent-toolkit --skill python-mauromedda
Please help me install this Agent Skill. Skill: python Source: https://github.com/mauromedda/agent-toolkit/tree/main/skills/python Command: npx skills add https://github.com/mauromedda/agent-toolkit --skill python-mauromedda
This Skill guides developers in adopting idiomatic Python 3.11+ practices, reducing boilerplate and errors by showcasing clear patterns, typing discipline, and modern tooling like Pydantic v2.
Review the representative implementations in the code examples and tests to see patterns in action. Then apply the idioms to refactor existing Python code for readability, safety, and performance.
High-intent search queries and answers about installing and using this skill.
Idiomatic Python patterns like comprehensions, generators, and context managers reduce boilerplate by replacing verbose loops and manual resource handling with concise, readable syntax. This skill provides high-density reference examples for Python 3.11+ to improve code clarity and safety.
Pydantic v2 validates data models by enforcing type hints at runtime, automatically converting and checking inputs to reduce manual validation boilerplate. This skill demonstrates modern Pydantic v2 APIs to model data robustly and improve application reliability.
Python comprehensions and unpacking streamline iteration by constructing lists, dictionaries, and sets inline while destructuring sequences into variables directly. This skill shows concise patterns for applying these techniques to refactor existing code for readability and performance.
Yes, this Python reference supports code reviews and refactoring tasks by serving as a reusable guide for idiomatic practices, typing discipline, and modern tooling. Developers can apply these high-density patterns to refactor existing utilities and API services for maintainability.
Yes, you can use these Python 3.11+ practices for building API services, from small utilities to robust applications. The skill demonstrates how to combine typing discipline, context managers, and Pydantic v2 validation to create maintainable and reliable service backends.
juniorfonteneleEnforce Python quality gates with Ruff, mypy, and pytest.
bobmatnycValidate Python data models with Pydantic v2 runtime type checking.
farmountainEnforces PEP 8, modern Python 3.10+ syntax, and validates code with static tools like mypy and ruff.
archibateModel structured data into validated Python classes with dataclasses, attrs, or Pydantic.
