Enforce typing, testing, and tooling standards across Python projects.
npx skills add https://github.com/lgili/skillex --skill python-pro-lgili
Please help me install this Agent Skill. Skill: python-pro Source: https://github.com/lgili/skillex/tree/main/skills/python-pro Command: npx skills add https://github.com/lgili/skillex --skill python-pro-lgili
Delivering Python projects that are hard to reason about due to sprawling code, weak typing, and brittle tooling. Python Pro provides a disciplined framework to organize code, enforce explicit types and clear boundaries, and guide maintenance across libraries, CLIs, APIs, workers, and data pipelines.
Ask Skillex to apply Python Pro to your Python project to enforce architecture, typing, testing, and delivery standards.
High-intent search queries and answers about installing and using this skill.
Enforce strict typing in Python by applying explicit typing contracts using typed DTOs and configuring static type checkers like mypy or pyright within a centralized pyproject.toml setup.
Structure Python projects for maintainability by adopting an architecture-first design that promotes cohesive modules, explicit interfaces, and strict separation of domain logic from IO operations.
Set up Python CI quality gates by standardizing pyproject.toml configuration to run Ruff for linting, mypy or pyright for typing, and pytest for comprehensive test coverage, ensuring repeatable checks.
Yes, you can refactor existing Python code by applying this framework to enforce clear module boundaries, introduce typed DTOs, and align the codebase with standardized tooling and quality gates.
You need explicit typing contracts in Python data pipelines and workers when you want to safeguard changes, ensure robust integration tests, and prevent sprawling code that is hard to reason about.
Yes, Python Pro works across diverse Python ecosystems including libraries, CLIs, APIs, workers, and data pipelines, applying consistent architecture, typing, testing, and delivery standards.
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