Why should I use MyPy in research code?

MyPy uses static type checking to catch errors like dimension mismatches and invalid inputs before you run time-intensive numerical computations.

Is there support for the pixi package manager?

Yes, the skill includes optimized workflows for managing development dependencies and quality tasks using pixi.

What are pre-commit hooks used for?

Pre-commit hooks are automated scripts that run before every commit to ensure your code meets quality standards, preventing style errors from entering the repository.

Does this skill work with existing legacy projects?

Yes, it provides strategies for gradual adoption of type hints and linting rules, allowing you to improve legacy codebases incrementally.

How does Ruff improve scientific Python development?

Ruff replaces multiple tools like flake8 and black with a single, ultra-fast linter and formatter that supports NumPy-specific rules and conventions.

Code Quality Tools for Scientific Python

Name: Code Quality Tools for Scientific Python
Author: uw-ssec

byuw-ssec

•

开发者工具

Automates code formatting, linting, and static type checking to maintain high-quality, reproducible scientific Python projects.

This skill empowers developers to implement and manage professional-grade code quality workflows tailored for scientific computing. It provides domain-specific guidance for configuring Ruff (ultra-fast linting and formatting), MyPy (static type checking), and pre-commit hooks to automate quality gates. By focusing on scientific Python standards like NumPy-style docstrings and dimension-aware type hints, this skill helps research teams catch bugs early, ensure consistent style, and prepare code for publication or production use.

主要功能

0118 GitHub stars

02Configure ultra-fast Ruff rules for linting and code formatting

03Provide guided fixes for complex linting and static analysis errors

04Implement static type checking with MyPy for numerical codebases

05Set up automated Git pre-commit hooks for quality enforcement

06Automate NumPy-style docstring validation and syntax modernization

使用场景

01Standardizing code style and quality across collaborative research repositories

02Catching type-related bugs in numerical simulations before execution

03Migrating legacy scientific projects to modern toolchains like Ruff and Pixi

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add uw-ssec/rse-plugins code-quality-tools

For use in Claude.ai and ChatGPT

Download Skill