How does this help with team collaboration?

By establishing a shared configuration in pyproject.toml and enforcing it via pre-commit hooks, it ensures all contributors follow the same style and quality standards automatically.

Can Claude help me fix existing linting errors with this skill?

Yes, Claude can use the 'ruff --fix' command and provide guidance on resolving complex MyPy type errors and architectural inconsistencies.

What tools does the Code Quality Tools skill support?

This skill focuses on the modern Python stack: Ruff for linting and formatting, MyPy for static type checking, and pre-commit for automating these checks locally.

Is this specifically for scientific Python projects?

While it includes specialized rules for scientific Python (like NumPy-aware linting), the configurations and best practices are applicable to any professional Python project.

Python Code Quality Tools

Name: Python Code Quality Tools
Author: robertpelloni

byrobertpelloni

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开发者工具

Configures and manages automated quality gates including Ruff, MyPy, and pre-commit hooks for Python projects.

关于

This skill enables Claude to implement professional-grade code quality standards in Python projects, with a specialized focus on scientific computing. It provides comprehensive guidance on configuring Ruff for ultra-fast linting and formatting, MyPy for robust static type checking, and pre-commit for automated git hooks. By integrating these tools, developers can catch bugs early, enforce consistent style across teams, and ensure that scientific code remains maintainable and error-free throughout the research and development lifecycle.

主要功能

High-performance linting and formatting configuration via Ruff
Static type checking setup with MyPy and NumPy-specific typing
Scientific Python best practices and docstring enforcement
CI/CD integration patterns for automated code reviews
3 GitHub stars
Automated quality gate implementation using pre-commit hooks

使用场景

Implementing strict type checking to prevent runtime errors in complex numerical simulations
Setting up code standards and linting for new scientific Python repositories
Migrating legacy projects from older tools like Black and Flake8 to Ruff

关于

主要功能

High-performance linting and formatting configuration via Ruff
Static type checking setup with MyPy and NumPy-specific typing
Scientific Python best practices and docstring enforcement
CI/CD integration patterns for automated code reviews
3 GitHub stars
Automated quality gate implementation using pre-commit hooks

使用场景

Implementing strict type checking to prevent runtime errors in complex numerical simulations
Setting up code standards and linting for new scientific Python repositories
Migrating legacy projects from older tools like Black and Flake8 to Ruff