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.