Review Python code for typing, testing, and FastAPI quality.
npx skills add https://github.com/kuroRy/dotfiles --skill python-engineer-kurory
Please help me install this Agent Skill. Skill: python-engineer Source: https://github.com/kuroRy/dotfiles/tree/main/config/claude/skills/python-engineer Command: npx skills add https://github.com/kuroRy/dotfiles --skill python-engineer-kurory
Python projects often suffer from inconsistent code quality, weak typing, and insufficient tests, leading to bugs and maintenance debt.
Analyze a Python project and start applying guided improvements to typing, tests, and API design.
High-intent search queries and answers about installing and using this skill.
To review Python code for SOLID principles and typing improvements, systematically assess readability, correctness, and best practice conformity. This enforces type hints, pytest coverage, and stepwise refactoring to elevate code quality and reliability.
The best way to structure FastAPI projects with solid design principles involves applying robust API patterns and systematic code reviews. This ensures your web APIs maintain type safety, enforce type hints, and follow production-ready coding practices.
You enforce type hints and pytest coverage in a Python project by applying structured quality optimizations. This catches errors early through type safety enforcement and verifies improvements using test suites, ensuring production-ready reliability.
Yes, you can use automated guidance to refactor Python code step by step. It enables stepwise improvements from initial refactoring to final verification, applying SOLID design and testing practices to reduce maintenance debt.
Your Python project suffers from inconsistent code quality and weak typing due to insufficient tests and lack of structured reviews. Applying type safety enforcement and pytest-based testing catches errors early and resolves maintenance debt.
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