Apply Python-specific abstractions and immutability patterns to design clean modules and APIs.
npx skills add https://github.com/mattstruble/skills --skill python-design
Please help me install this Agent Skill. Skill: python-design Source: https://github.com/mattstruble/skills/tree/main/python-design Command: npx skills add https://github.com/mattstruble/skills --skill python-design
Python design patterns and idioms for writing clean, well-structured Python code. Use this skill when writing or reviewing Python code, designing Python APIs, or refactoring Python modules. It also covers choosing between Python-specific abstractions (Protocol vs ABC, TypedDict vs dataclass, Enum vs string), and when to use advanced typing patterns.
Analyze a small Python module and outline the recommended design choices for its domain model.
High-intent search queries and answers about installing and using this skill.
Select Python TypedDict for dict-based JSON data structures, frozen dataclasses for immutable domain models with methods, NamedTuple for lightweight positional records, and Enum for bounded string constants to enforce strict typing and module hygiene.
Design clean Python modules using practical architecture patterns that enforce immutability, clear interface contracts, and composition. Apply appropriate data representations and typing patterns to ensure well-structured code and maintainable API boundaries across your software projects.
Refactor Python code by analyzing modules to outline recommended design choices for the domain model. Apply concrete patterns for error handling, data container selection, and interface contracts to transition legacy structures into clean, well-architected code.
Python typing supports immutability patterns through frozen dataclasses and NamedTuples. These structures prevent attribute modification after initialization, ensuring safe data representation and predictable behavior when passing data across module boundaries.
Choose Mixin composition to combine specific behaviors across multiple classes without rigid single inheritance hierarchies. Mixins allow modular composition of interface contracts and utility methods, keeping Python architecture decoupled and promoting clean code practices.
TheBushidoCollectiveEnforce Python type safety with mypy, Protocols, TypedDict, and Generics.
nguyenphpRun linters, type checkers, and security audits across Node.js and Python projects.
nanorepublicaValidate code against centralized global tech stack standards.
rysweetIdentify and recommend Gang of Four design patterns for software design problems.
