python-pro

Apply modern Python 3.12+ tooling and patterns to build production-grade applications.

10|Updated May 20, 2026
One-click install
npx skills add https://github.com/AI-Safeter/antigravity-cli-plugin --skill python-pro-ai-safeter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/AI-Safeter/antigravity-cli-plugin/tree/main/plugins/python-pro
Command: npx skills add https://github.com/AI-Safeter/antigravity-cli-plugin --skill python-pro-ai-safeter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to apply modern Python 3.12+ features, async patterns, tooling, and production-ready practices consistently across projects. This skill consolidates best practices, patterns, and tooling knowledge to accelerate building robust Python services and tooling.

Core Features & Use Cases

  • Modern Python 3.12+ features and patterns, including async programming and performance optimization.
  • Tooling and quality: uv, ruff, mypy/pyright, and modern packaging and development workflows.
  • Web/API frameworks and deployment: FastAPI, Django, testing with pytest, and production-grade patterns.
  • Use Case: Build production-ready APIs, data tooling, and automation scripts with strong typing, testing, and deployment practices.

Quick Start

Ask it to outline a production-ready Python 3.12+ project skeleton with FastAPI and type checking.

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 Python 3.12+ project skeleton with FastAPI?

To set up a production-ready Python 3.12+ project, use modern tooling like uv for packaging, ruff for linting, and mypy for type checking. You can quickly generate a FastAPI project skeleton with strong typing and comprehensive testing workflows.

What's the best way to enforce type-safety in a Python 3.12+ codebase?

Type-safety in Python 3.12+ is enforced using static analysis tools like mypy or pyright. Integrating these tools into your development workflow ensures robust type checking and helps build production-grade applications.

Does async programming in Python 3.12+ improve API performance?

Async programming in Python 3.12+ significantly improves API performance by allowing concurrent request handling. Applying modern async patterns alongside web frameworks like FastAPI enables high-performance production-grade services.

Can I use uv and ruff for modern Python packaging and linting?

Yes, uv and ruff are modern Python tools used for packaging and linting respectively. They streamline development workflows, enforce code quality, and are essential for maintaining production-ready Python 3.12+ applications.

How do I structure comprehensive testing workflows for Python web frameworks?

Comprehensive testing workflows for Python web frameworks like FastAPI and Django are structured using pytest. It enables robust test automation and validation to ensure your production-grade code meets performance targets and runtime compatibility.

When do I need mypy or pyright for Python deployment?

You need mypy or pyright for Python deployment when your project requires strict type-safety and runtime compatibility. These tools enforce type checking before deployment, ensuring robust production-grade code across your ecosystem.