Configure Python 3.12+ projects with uv, Ruff, and loguru conventions.
npx skills add https://github.com/cjinzy/jin-claude --skill py-standard
Please help me install this Agent Skill. Skill: py-standard Source: https://github.com/cjinzy/jin-claude/tree/main/plugins/jin-claude/skills/py-standard Command: npx skills add https://github.com/cjinzy/jin-claude --skill py-standard
This Skill provides a comprehensive guide and setup for establishing standardized Python development environments and coding conventions, ensuring consistency and quality across projects.
uv for package management, Ruff for linting/formatting, and loguru for logging.Initialize a new Python project with standard conventions by running uv init and configuring Ruff and loguru.
High-intent search queries and answers about installing and using this skill.
To set up a standardized Python project, initialize your environment using uv for package management and configure Ruff for linting and formatting, ensuring adherence to PEP8 code style and import sorting.
The recommended way to configure logging in a Python 3.12 project is using loguru, which provides a robust and standardized logging convention as part of your project's core development environment.
Yes, this Python convention guide requires using uv for package management and Ruff for linting, specifically targeting Python 3.12+ projects to enforce type hinting and code quality.
Yes, you can apply these Python code standards to refactor existing code, ensuring better maintainability by enforcing type hints, specific docstring practices, and standardized exception handling with traceback.
The best way to enforce type hints and docstring conventions is by configuring Ruff and applying standardized guidelines that dictate clear, localized docstrings and strict type hinting across your Python project.
AubreyHanDetect Python dependency managers and run matching install commands.
ArogyaReddyEnforce Python code style and documentation standards with ruff and mypy.
fmindEnforce Python code quality and security with automated validation layers.
LincyawRun Black, isort, Flake8, and pytest checks on Python projects.