python-engineering-standards

Enforce PEP 8 coding standards and type hints by applying automated checks with Ruff and mypy. This Skill integrates these tools to validate code layout, indentation, naming conventions, and type hint clarity for production modules.

Set up automated Python code quality checks by configuring pre-commit hooks to run Ruff, mypy, and pytest. This pipeline validates security practices, type consistency, and PEP 8 style guidelines before code changes are committed.

Yes, this Python coding standards skill supports common project layouts including data pipelines, services, and CLI tools. It applies security best practices and type hinting across these varied architectures.

Implement security best practices like parameterized queries and secure credential handling by following the canonical engineering standards defined by this skill. It provides reference scripts to guide secure production code development.

Yes, you need Python 3.11 or higher to apply these engineering standards. The skill targets modern Python features like dataclasses and type hints, leveraging Ruff and mypy to enforce them.

Use pre-commit hooks to automate PEP 8 style enforcement and type hint validation locally. Running Ruff and mypy before commits prevents low-quality code from entering the repository, reducing CI pipeline failures.