python

Automates Python formatting and linting enforcing PEP 8 standards via uv and ruff.

Updated Apr 5, 2026

Search Tags:#code quality #linting #best practices #dependency management #python #formatting

Ready to run

npx skills add https://github.com/backlin/ai-config --skill python-backlin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python
Source: https://github.com/backlin/ai-config/tree/main/skills/python
Command: npx skills add https://github.com/backlin/ai-config --skill python-backlin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, ruff, pydantic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines Python development by enforcing best practices, automating repetitive tasks, and promoting code quality.

Core Features & Use Cases

Best Practices: Ensures adherence to PEP 8 and other Python best practices.
Automated Code Formatting: Uses tools like uv and ruff for automatic code formatting.
Dependency Management: Offers instructions for adding dependencies with uv add.
Use Case: For a developer looking to maintain clean, efficient, and well-documented code, this Skill provides a framework for consistent and error-free Python development.

Quick Start

Use the python skill to format and lint your Python code.

Frequently Asked Questions about python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate Python code formatting and linting?▼

Automate Python code formatting and linting by using ruff to enforce PEP 8 standards automatically. This integrates ruff into your workflow to apply consistent formatting and catch linting errors without manual intervention.

What's the best way to manage Python dependencies with uv?▼

Manage Python dependencies with uv by using the `uv add` command to include new packages. This streamlines dependency management, ensuring reliable and reproducible project environments.

How does ruff compare to other Python linting tools?▼

Ruff provides faster Python linting and formatting compared to other tools by combining multiple checks into a single integrated process. It replaces traditional linters while enforcing PEP 8 standards efficiently.

Does this Python workflow support pydantic for data validation?▼

Yes, this Python workflow supports pydantic for data validation. It includes pydantic as a core dependency to help enforce type safety and best practices within your development process.

When do I need to enforce PEP 8 standards in a Python project?▼

Enforce PEP 8 standards in a Python project whenever you need to maintain clean, efficient, and maintainable codebases. Applying these best practices early prevents technical debt and ensures consistent code quality.