Which Python linters are supported by this skill?

This skill primarily uses Ruff for lightning-fast linting and formatting, but it also provides patterns for pycodestyle and pyflakes compatibility.

Can I use this skill for type checking?

Yes, it includes specialized commands and configuration patterns for both Pyright and MyPy to ensure strict type safety in your projects.

How does it help with debugging?

It provides a structured debug workflow that gathers tracebacks, locates affected files, and uses IDE diagnostics to hypothesize and apply fixes.

Can I customize the tool configurations?

Yes, the skill provides reference patterns for pyproject.toml, allowing you to customize Ruff, Pyright, and Pytest settings to match your project's needs.

Does it support asynchronous testing?

Absolutely. The skill includes specific pytest configurations for running async tests using the asyncio-mode=auto setting.

Python Dev Tools

Name: Python Dev Tools
Author: rayk

byrayk

•

Seguridad y Pruebas

Streamlines Python development using industry-standard tools for static analysis, automated testing, and IDE integration.

The Python Dev Tools skill provides Claude with a comprehensive framework for managing professional Python environments. It integrates powerful utilities like Ruff for linting and formatting, Pyright for type checking, and Pytest for robust testing suites. By offering standardized workflows for Test-Driven Development (TDD), debugging, and code quality enforcement, this skill ensures that Python projects remain maintainable, type-safe, and PEP 8 compliant. It also leverages IDE-specific MCP tools to provide real-time diagnostics and efficient error resolution patterns.

Características Principales

01Real-time IDE diagnostic parsing and error resolution

021 GitHub stars

03Comprehensive Pytest workflows including coverage and async testing

04Standardized configuration templates for pyproject.toml

05Strict type checking integration using Pyright and MyPy

06Automated linting and code formatting with Ruff

Casos de Uso

01Implementing Test-Driven Development (TDD) with automated test-and-fix cycles

02Enforcing code quality and type safety across large Python codebases

03Rapidly debugging runtime exceptions using structured traceback analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rayk/lucid-toolkit python-dev-tools

For use in Claude.ai and ChatGPT

Download Skill