python-dev

Guide modern Python 3.12+ application development with async patterns and strong typing.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mporenta/airflow --skill python-dev-mporenta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-dev
Source: https://github.com/mporenta/airflow/tree/main/.claude/skills/python-dev
Command: npx skills add https://github.com/mporenta/airflow --skill python-dev-mporenta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides expert guidance to modern Python developers for building high-quality, maintainable Python 3.12+ applications with async patterns, robust typing, and production-ready practices.

Core Features & Use Cases

  • Modern Python Features: Python 3.12+ enhancements, advanced async/await, pattern matching, and typing improvements for robust code.
  • Tooling & Best Practices: ruff, mypy/pyright, pyproject.toml, virtual environments, pre-commit, and modern packaging for reproducible builds.
  • Web & Data: FastAPI, Django/Flask options, Pydantic models, SQLAlchemy async support, and data processing patterns for production services.
  • Testing & Quality: pytest, coverage, property-based testing, CI integration, and performance profiling.
  • Performance & Deployment: profiling, caching, async I/O, multiprocessing, and container/CI/CD deployment strategies.

Quick Start

Initialize a modern Python 3.12+ project skeleton with FastAPI, Pydantic models, and async patterns.

Frequently Asked Questions about python-dev

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

FAQPage Schema
How do I structure a modern Python 3.12+ project with FastAPI and async patterns?▼

To structure a modern Python project with FastAPI and async patterns, use pyproject.toml for packaging, define Pydantic models, and implement async/await for I/O operations to ensure maintainable, high-performance service-oriented architectures.

What's the best way to configure Python typing and linting tools like mypy and ruff?▼

Configure Python typing and linting using pyproject.toml to enforce ruff formatting and mypy or pyright strict type checking, ensuring robust code quality and reproducible builds across your development environment.

Can I use SQLAlchemy async support with FastAPI for production database operations?▼

Yes, you can use SQLAlchemy async support with FastAPI to handle non-blocking database operations, leveraging asyncio to build high-performance, maintainable data processing tasks and service-oriented architectures.

How do I set up pytest and property-based testing for Python 3.12+ applications?▼

Set up pytest and property-based testing by integrating coverage reports and CI pipelines, ensuring your modern Python application maintains strict quality standards and robust behavior across edge cases.

When should I use multiprocessing versus async I/O for Python performance optimization?▼

Use async I/O for concurrent network-bound tasks and multiprocessing for CPU-bound workloads, utilizing Python profiling and caching strategies to optimize performance in production-ready service architectures.

Do I need virtual environments and pre-commit hooks for modern Python packaging?▼

Yes, virtual environments isolate dependencies while pre-commit hooks automate ruff and mypy checks, establishing reproducible builds and enforcing production-ready practices for modern Python 3.12+ packaging.