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.