python-development

You enforce consistent Python coding standards by applying rules for type annotations, Pydantic DTOs, and pytest patterns during code writing and review. This skill codifies these standards to foster uniformity and reduce bugs across multiple microservices.

The best way to standardize Python type annotations and DTOs is to enforce consistent typing using dataclasses or Pydantic. This skill provides actionable guidance to align APIs and DTOs across codebases during development and review.

You structure Python CLIs and test suites using standardized Typer and pytest patterns. This skill defines specific conventions for building Typer applications and writing PyTest suites to ensure code quality and uniformity.

Yes, this Python coding standards skill works with uv. It promotes robust package management and packaging conventions using uv to maintain consistent environments across team projects.

You apply PEP 8 and Black formatting guidelines by reviewing Python modules for code-style compliance and making actionable improvements. This skill guides adherence to PEP 8 styling and formatting with Black during code review and debugging.

Yes, you can use these Python coding standards when migrating microservices. Teams can apply these standards to align APIs, DTOs, and test suites across multiple services, ensuring uniformity and quality during the migration process.