What problem does it solve? Python codebases drift into inconsistent patterns—mixed typing styles, unclear exception handling, scattered imports, and accidental complexity. This Skill enforces a coherent, production-grade set of Python design standards so substantial implementation and review work follows explicit, defensible conventions. ## Core Features & Use Cases - Core Standards Enforcement: Applies LBYL exception handling, pathlib-only file operations, absolute imports, modern type syntax, and anti-pattern avoidance (no re-exports, no unnecessary backwards compatibility, max 4-level indentation). - Version-Aware Guidance: Detects the project's minimum Python version and loads matching guidance for 3.10 through 3.13+, including PEP 604 unions, Self types, and PEP 695 generics. - Conditional Reference Loading: Pulls in specialized references only when needed—CLI patterns with Click, subprocess safety, API design, exception boundaries, ABC vs Protocol interfaces, and module design. - Use Case: When refactoring a service module or reviewing a pull request, invoke this Skill to check type annotations, exception boundaries, import organization, and module-level side effects against the consolidated decision checklists before committing. ## Quick Start Review my Python module for design quality and apply dignified Python standards to fix any violations you find.
