Creates typed, tested Python 3.11+ code with packaging and linting support.
npx skills add https://github.com/haryelramalho/skills --skill python-pro-haryelramalho
Please help me install this Agent Skill. Skill: python-pro Source: https://github.com/haryelramalho/skills/tree/main/skills/curated/python-pro Command: npx skills add https://github.com/haryelramalho/skills --skill python-pro-haryelramalho
Python Pro helps you build modern Python 3.11+ applications that stay type-safe, testable, and maintainable, while avoiding the common pitfalls of weak typing, inconsistent async patterns, and fragile error handling.
Ask this skill to design or refactor a Python 3.11 feature into typed implementation code, matching pytest tests, and the validation steps needed to keep it clean and production-ready.
High-intent search queries and answers about installing and using this skill.
Type-safe Python code requires strict typing, protocols, and dataclasses to satisfy mypy. You build fully annotated modules with clear interfaces, avoiding weak typing pitfalls while maintaining testability and robust error handling across async workflows.
Async Python 3.11 applications use async and await workflows with task groups, context managers, and queues. This async-first pattern handles I/O-heavy systems effectively, incorporating timeout handling to maintain robust error handling and concurrency.
Pytest validation uses fixtures, mocking, and parametrization to design coverage-oriented tests. This testing approach reinforces quality alongside mypy, black, and ruff formatting, ensuring your Python modules remain production-ready and thoroughly validated.
Packaging and project structure supports organizing Python packages, pyproject configuration, and dependency management. This creates release-ready layouts that turn rough feature ideas into production-grade modules with proper validation and packaging guidance.
Ruff and black formatting work together to keep Python code clean and production-ready. This combination enforces consistent style alongside strict mypy type checking, ensuring typed APIs across modules remain maintainable and error-free.
Python code fails strict typing when lacking full annotations, protocols, or clear interfaces. Strict mypy checking requires fully annotated implementations using dataclasses and type-safe patterns to avoid weak typing and fragile error handling.
connectwithprakashSet up Python projects with uv for dependency management and environment configuration.
DhumitechInitialize Python 3.12+ projects with typing, formatting, and packaging tooling.
morodomiRun pytest, mypy, Black, isort, and ruff quality checks on Python projects.
archibateImplement type-safe, async-first Python 3.11+ modules with pytest suites.
