Can I use this for CI/CD pipeline preparation?

Absolutely. This skill is designed to run the same checks required in professional CI/CD pipelines, ensuring your code passes quality gates before submission.

Can Claude automatically fix my Python linting errors?

Yes, this skill enables Claude to automatically resolve many linting violations and apply consistent formatting using built-in auto-fix capabilities.

Does this skill support strict type checking?

Yes, the skill includes configurations for Mypy, allowing Claude to perform strict type validation to catch potential runtime bugs before they occur.

Which tools does this skill use for Python quality?

The skill primarily utilizes Ruff for lightning-fast linting and formatting, and Mypy for comprehensive static type checking.

Python Code Quality

Name: Python Code Quality
Author: jwplatta

byjwplatta

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Developer Tools

Standardizes Python codebases through automated linting, PEP 8 formatting, and rigorous static type checking.

About

This skill empowers Claude to maintain high-quality Python codebases by integrating industry-standard tools like Ruff and Mypy. It automates the detection of style violations, potential bugs, and type inconsistencies, ensuring that code follows PEP 8 guidelines while optimizing for readability and performance. Whether performing deep code reviews or preparing files for CI/CD pipelines, this skill provides a comprehensive toolkit for complexity analysis, dead code detection, and automatic formatting to ensure production-grade software delivery.

Key Features

Automated linting and PEP 8 compliance checks using Ruff
Fast, consistent code formatting and import organization
Code complexity analysis and dead code detection
One-command auto-fixing for common style and linting issues
Strict static type checking with Mypy to catch runtime errors
1 GitHub stars

Use Cases

Preparing Python projects for production or CI/CD deployment
Performing comprehensive automated code reviews for large codebases
Refactoring legacy Python code to meet modern style and type standards

About

Key Features

Automated linting and PEP 8 compliance checks using Ruff
Fast, consistent code formatting and import organization
Code complexity analysis and dead code detection
One-command auto-fixing for common style and linting issues
Strict static type checking with Mypy to catch runtime errors
1 GitHub stars

Use Cases

Preparing Python projects for production or CI/CD deployment
Performing comprehensive automated code reviews for large codebases
Refactoring legacy Python code to meet modern style and type standards