python-pro

Develop Python 3.12+ projects with async programming and FastAPI.

17|4|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/sawrus/agent-guides --skill python-pro-sawrus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/sawrus/agent-guides/tree/main/skills/python-pro
Command: npx skills add https://github.com/sawrus/agent-guides --skill python-pro-sawrus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACTIVELY for Python development, optimization, or advanced Python patterns.

Core Features & Use Cases

  • Async-first development with asyncio and modern libraries
  • Modern tooling and practices: typing, packaging, static analysis with ruff and mypy
  • Web APIs, data validation, and production-ready patterns with FastAPI and Pydantic

Quick Start

Initialize a minimal Python 3.12+ project with FastAPI, type hints, and a basic profiling setup.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I set up a production-ready FastAPI project with modern Python tooling?

A production-ready FastAPI project requires Python 3.12+ with type hints, Pydantic for data validation, and a basic profiling setup. It integrates modern tooling like ruff and mypy for static analysis and packaging.

What is the best way to optimize Python async programming performance?

The best way to optimize Python async performance is using asyncio with modern libraries and applying profiling mechanisms. This enforces async-first development alongside performance optimization best practices for production applications.

Does this Python skill support packaging and static analysis with ruff?

Yes, this skill fully supports packaging and static analysis with ruff. It enforces modern tooling practices including typing, packaging, and static analysis with ruff and mypy for Python 3.12+ production environments.

How do I use Pydantic for data validation in modern Python applications?

To use Pydantic for data validation in modern Python applications, integrate it with FastAPI to enforce production-ready patterns. This ensures robust type checking and data serialization across Python 3.12+ projects.

Why should I use ruff and uv for Python packaging over traditional tools?

Using ruff and uv for Python packaging provides advanced static analysis and fast environment management for Python 3.12+. This modern tooling enforces language features and security best practices better than traditional setups.