Enforce type safety and async patterns in Python 3.11+ code with mypy, pytest, black, and ruff.
npx skills add https://github.com/fanguyun/SkillManager --skill python-pro-fanguyun
Please help me install this Agent Skill. Skill: python-pro Source: https://github.com/fanguyun/SkillManager/tree/main/python-pro Command: npx skills add https://github.com/fanguyun/SkillManager --skill python-pro-fanguyun
This Skill empowers Python developers to build robust, maintainable, and high-performance applications with a focus on type safety, async programming, and Python best practices.
Activate the Python Pro Skill for type hints, async/await, dataclasses, and Python best practices.
High-intent search queries and answers about installing and using this skill.
To enforce type safety in Python 3.11+, utilize type annotations and run type checking with mypy. This ensures robust, maintainable code by catching type errors early and supporting advanced type features.
The best way to structure async programming in Python is by implementing async/await patterns to handle I/O-bound operations efficiently. Using asyncio ensures high-performance execution for concurrent tasks.
Configure ruff and black to automate code formatting and enforce PEP 8 compliance. Applying these tools guarantees structured, readable code that adheres to Python best practices across your project.
Write structured tests in Python by utilizing pytest to implement fixtures and mocking. This approach isolates components during testing, ensuring reliable and maintainable test suites for your applications.
Yes, you can use dataclasses for object-oriented programming in Python 3.11+. They provide a concise way to structure data, reducing boilerplate code while maintaining type safety and best practices.
Yes, this approach supports Python development for projects needing efficient I/O-bound operations. It implements async/await patterns and asyncio to handle concurrent tasks efficiently while maintaining type safety.
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