Build and validate Python 3.11+ applications with mypy, black, and pytest.
npx skills add https://github.com/AndrejMX13/belpro --skill python-pro-andrejmx13
Please help me install this Agent Skill. Skill: python-pro Source: https://github.com/AndrejMX13/belpro/tree/main/.claude/skills/python-pro Command: npx skills add https://github.com/AndrejMX13/belpro --skill python-pro-andrejmx13
This Skill enhances Python application development by providing tooling for type safety, asynchronous programming, and robust error handling.
Use the python-pro skill to create a type-safe async API client with detailed validation and testing setup.
High-intent search queries and answers about installing and using this skill.
Add strict type hints to Python 3.11+ projects by applying type annotations directly in your code and enforcing correctness through mypy validation. This ensures robust applications with structured error handling and proper data validation.
Set up testing for async Python code by using pytest to validate concurrent I/O-bound operations. This provides comprehensive support for modern async/await patterns, ensuring your type-safe applications handle high concurrency and error scenarios correctly.
Yes, mypy works with async Python 3.11+ applications to enforce type safety and code correctness. It validates type annotations within modern async/await patterns, ensuring efficient concurrent code is properly type-checked before production.
Yes, you can use black and ruff together within a modern Python development workflow. Black handles code formatting while ruff manages linting, combining with mypy and pytest to ensure professional code structure and correctness.
Build a type-safe async API client by combining strict type annotations, async/await patterns, and structured error handling. Validate the implementation using mypy for type correctness and pytest to test high concurrency and error scenarios comprehensively.
Structured error handling is needed for async Python code to manage concurrent I/O-bound operations safely. It ensures robust applications can handle high concurrency and complex error scenarios without failing unpredictably in production environments.
Renzo-TognellaSet up a Python 3.11+ project with pyproject.toml and uv.
kartikfedRun Black, Ruff, Mypy, and Pytest checks on Python code.
nishchaydevDesign Tokio-based async Rust services with type-safe APIs and error handling.
Harmitx7Automate linting and type checking for JavaScript, TypeScript, and Python projects.
