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Backend Python Standards

Enforce Python backend standards using uv, ruff, mypy, and pytest.

1.8k|153|Updated Oct 18, 2025
Search Tags:#code quality#pytest#development standards#backend#uv#Python#mypy#ruff
One-click install
npx skills add https://github.com/maxritter/claude-codepro --skill backend-python-standards
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Backend Python Standards
Source: https://github.com/maxritter/claude-codepro/tree/main/.claude/skills/backend-python-standards
Command: npx skills add https://github.com/maxritter/claude-codepro --skill backend-python-standards

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenges of inconsistent Python code, unmanaged dependencies, and a lack of automated quality checks. It streamlines Python development by enforcing best practices, leading to fewer bugs, improved maintainability, and faster delivery.

Core Features & Use Cases

  • Unified Package Management: Mandates uv for all Python package operations, replacing pip for faster dependency resolution, better lock file management, and project-wide consistency.
  • Automated Code Quality: Enforces ruff for linting and formatting, and mypy/basedpyright for strict type checking, ensuring high code quality with minimal manual effort.
  • Self-Documenting Code: Guides on writing concise one-line docstrings for most functions, minimizing inline comments, and using clear, descriptive names to make code inherently understandable.
  • Use Case: When starting a new Python microservice, use this skill to set up uv for dependency management, configure ruff for automatic formatting and linting, and ensure all new functions have type hints and concise docstrings.

Quick Start

Apply the Backend Python Standards skill to review the 'userService.py' file, ensuring all functions have type hints, docstrings, and that the file passes 'ruff check' and 'mypy --strict' without errors.

Frequently Asked Questions about Backend Python Standards

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

FAQPage Schema
How do I enforce Python code quality standards automatically?▼

Use ruff for linting and formatting, mypy for strict type checking, and pytest for testing. This skill mandates these tools to enforce consistent code quality across your Python backend, catching issues before deployment and reducing manual review overhead.

Should I use uv instead of pip for Python package management?▼

Yes, uv replaces pip with faster dependency resolution and better lock file management. This skill requires uv for all package operations to ensure project-wide consistency, eliminate version conflicts, and streamline dependency tracking across your team.

What's the best way to document Python functions without cluttering code?▼

Write concise one-line docstrings paired with clear, descriptive function names and explicit type hints. This approach creates self-documenting code that remains readable and maintainable while minimizing inline comments and keeping focus on logic.

How do I set up Python testing and linting for a new backend service?▼

Configure uv for dependency management, ruff for formatting and linting, pytest for unit and integration tests, and mypy for type checking. This skill applies these tools in sequence during setup to establish automated quality gates from the start.

Can I use mypy and ruff together in a Python backend workflow?▼

Yes, this skill pairs mypy for strict type checking with ruff for linting and formatting as complementary quality layers. Together they enforce type safety and code style simultaneously, catching both logical and stylistic issues before code review.

What happens if my Python code fails ruff or mypy checks?▼

Code that doesn't pass ruff check or mypy --strict cannot be merged under this skill's policy. The tool outputs specify exact violations—import organization, type hints, naming conventions—giving you concrete, actionable fixes to resolve before proceeding.

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