Apply Python idioms, type hints, and best practices to improve code quality.
npx skills add https://github.com/flag3/dotfiles --skill python-patterns-flag3
Please help me install this Agent Skill. Skill: python-patterns Source: https://github.com/flag3/dotfiles/tree/main/.claude/skills/python-patterns Command: npx skills add https://github.com/flag3/dotfiles --skill python-patterns-flag3
Python projects often suffer from inconsistent idioms, brittle patterns, and unclear code. This Skill consolidates Pythonic idioms, PEP 8 standards, type hints, and best practices to help developers produce clear, maintainable, and robust Python applications.
Run the Python-patterns guide on a sample module to improve readability, add type hints, and replace anti-patterns with idiomatic equivalents.
High-intent search queries and answers about installing and using this skill.
Improve Python code readability by applying idiomatic patterns, PEP 8 standards, and type hints. This Skill consolidates Pythonic idioms like list comprehensions, context managers, and explicit exception handling with type annotations and dataclasses to produce clear, maintainable applications across refactoring and new projects.
Type hints are annotations that declare expected data types in Python code. They enhance maintainability, catch errors earlier, and improve IDE support. This Skill emphasizes type annotations, dataclasses, and protocol-based typing to make Python applications more robust and self-documenting.
Refactor legacy Python by replacing anti-patterns with idiomatic equivalents, enforcing PEP 8 standards, and adding type hints. This Skill provides documented guidelines and practical examples for systematically improving code quality across existing projects and enforcing consistent standards across teams.
Yes. This Skill covers project kickoff, active coding, code review, and refactoring scenarios, making it suitable for new Python projects and legacy code improvement. It guides teams through enforcing readability, explicitness, and robust patterns on both greenfield and brownfield applications.
Pythonic code follows Python idioms and conventions for clarity and efficiency. Pythonic approaches use constructs like list comprehensions, context managers, and explicit exception handling. This Skill teaches these idioms alongside PEP 8 standards and type hints to distinguish robust, readable Python from merely functional code.
Enforce standards by consolidating idioms, PEP 8 rules, and type hints into documented guidelines. This Skill provides practical examples and best practices that teams can apply during code review and project development to maintain consistency in readability, explicitness, and robust patterns across applications.
tblakex01Aggregate code health metrics from integrated tools into a weighted 0-10 score.
bismuthdigitalRun Python test suites with pytest and generate coverage reports.
HezziCodeEnforce Python type safety with mypy static type checking.
DrLuggelsEnforce Python code style and type checks with ruff and mypy.
