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python-pro

Develop type-annotated Python 3.11+ applications with mypy, pytest, black, and ruff.

Updated Mar 7, 2026
Search Tags:#code quality#pytest#python#type hints#mypy#asyncio
One-click install
npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill python-pro-shalevamin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/shalevamin/The-_Ultimate_agents/tree/main/.claude/skills/python-pro
Command: npx skills add https://github.com/shalevamin/The-_Ultimate_agents --skill python-pro-shalevamin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the development of modern, production-ready Python applications by enforcing type safety, promoting best practices, and automating testing and validation.

Core Features & Use Cases

  • Type Safety: Ensures all code adheres to strict type hinting standards using mypy.
  • Automated Testing: Generates comprehensive pytest test suites with fixtures and mocking.
  • Code Quality: Enforces PEP 8 compliance and modern Python style with black and ruff.
  • Use Case: When building a new Python microservice, use this Skill to generate the initial project structure, implement core logic with full type annotations, and set up a robust testing framework.

Quick Start

Use the python-pro skill to create a new Python project with type hints and pytest tests.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I set up mypy in strict mode for a Python 3.11+ project?▼

Configure mypy in strict mode by generating type-annotated code and enforcing type hints across your Python 3.11+ application. This approach ensures all variables and functions adhere to strict type safety standards, preventing runtime type errors.

What's the best way to generate pytest test suites with fixtures and mocking?▼

Generate pytest test suites with fixtures and mocking by developing your application with structured error handling and dependency injection. This setup provides comprehensive automated testing coverage and validates core logic against edge cases.

How do I implement async/await patterns with type hints in Python?▼

Implement async/await patterns with type hints by writing asynchronous Python 3.11+ code using dataclasses and full type annotations. This integration ensures type-safe concurrent programming with structured error handling and logging.

Does this approach enforce code quality with black and ruff alongside mypy?▼

Yes, this approach enforces code quality with black and ruff alongside mypy. It automatically formats code to PEP 8 compliance, lints for modern Python style, and validates type safety to deliver production-ready applications.

Can I use dependency injection and dataclasses for structured error handling in Python?▼

Yes, you can use dependency injection and dataclasses for structured error handling in Python. This combination allows you to build robust, type-safe applications by managing dependencies cleanly and validating data structures at runtime.

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