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python-pro

Scaffold production-grade Python 3.12+ projects with uv, ruff, mypy, and pytest.

1|Updated Jan 30, 2026
Search Tags:#production#fastapi#python#async#ruff#typing
One-click install
npx skills add https://github.com/jieni777/opencode-config-backup --skill python-pro-jieni777
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/jieni777/opencode-config-backup/tree/main/skills/python-pro
Command: npx skills add https://github.com/jieni777/opencode-config-backup --skill python-pro-jieni777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to adopt a modern, production-grade Python workflow that leverages the latest language features, async programming, and robust tooling.

Core Features & Use Cases

  • Modern Language & Patterns: Access Python 3.12+ features, advanced typing, and contemporary async patterns for scalable apps.
  • Tooling & Quality: Integrates uv, ruff, mypy, pytest, and packaging practices to ensure code quality and performance.
  • Use Case: Build high-performance web services with FastAPI, background tasks, and production-ready data processing pipelines.

Quick Start

Create a new Python 3.12+ project, install uv, ruff, mypy, and pytest, and scaffold a minimal production-ready codebase.

Frequently Asked Questions about python-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a production-ready Python 3.12 async application?▼

Structure production-ready Python 3.12 async applications by applying advanced typing, utilizing uv for packaging, and scaffolding high-performance APIs or data pipelines for scalable deployment.

What's the best way to configure ruff and mypy for modern Python projects?▼

Configure ruff and mypy for modern Python projects by integrating them with uv and pytest to enforce code quality, validate advanced typing, and ensure high-performance standards.

Can I use this workflow to build FastAPI background tasks and data pipelines?▼

Yes, you can build FastAPI background tasks and data pipelines by leveraging Python 3.12+ contemporary async patterns to create scalable, production-ready web services.

Do I need Python 3.12 to implement modern async patterns and uv packaging?▼

Yes, Python 3.12+ is required to support the modern language features, advanced typing, and contemporary async patterns needed for this production-grade workflow.

Why use uv for packaging instead of standard pip in production Python environments?▼

Use uv for packaging instead of standard pip to streamline environment management and accelerate dependency resolution in production-grade Python 3.12+ async applications.

When do I need to integrate pytest with async patterns for data processing pipelines?▼

Integrate pytest with async patterns when validating production-ready data processing pipelines to ensure robust code quality and reliable high-performance API behavior.

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