Configure uv, ruff, ty, and pytest for production-grade Python projects.
npx skills add https://github.com/tonyfujs/.claude-skills --skill python-production
Please help me install this Agent Skill. Skill: python-production Source: https://github.com/tonyfujs/.claude-skills/tree/main/python-production Command: npx skills add https://github.com/tonyfujs/.claude-skills --skill python-production
Python projects often struggle to move from quick experiments to maintainable, production-ready deployments. This skill provides a structured guide for building production-grade Python applications using uv for environment and package management, ruff for linting and formatting, ty for static type checking, and pytest for testing.
Create a new production-grade Python project with uv init --lib my-project and start by configuring ruff, ty, and pytest for a robust development workflow.
High-intent search queries and answers about installing and using this skill.
Set up a production-grade Python project by initializing it with uv, then configuring ruff, ty, and pytest within pyproject.toml to enforce linting, type checking, and testing workflows.
Manage Python environments and lockfiles using uv for package management and reproducible dependency resolution, ensuring reliable deployments across small utilities and large services.
Configure ruff and pytest in pyproject.toml to standardize your Python workflow, enforcing consistent linting, formatting, and testing rules directly within your project configuration.
Yes, this Python production toolchain applies to small utility scripts and large services alike, providing explicit tooling configurations and standardized workflows for robust CI.
Static type checking with ty ensures strong type safety and maintainability in Python production apps, catching type errors early before deployment to prevent runtime failures.
julianobarbosaScaffold Python projects with uv, ruff, mypy, pytest, and Flask templates.
rohitg00Deploy Kubernetes workloads with progressive delivery strategies and health checks.
faionfaionOrchestrate DevOps tasks across infrastructure, containerization, and CI/CD pipelines.
erenisiklarAutomate Python project setup with uv, ruff, and ty.
