python-pro

Provide type-safe, async-ready Python 3.11+ development guidance with pytest and mypy.

14|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/alexander-danilenko/ai-skills --skill python-pro-alexander-danilenko
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/alexander-danilenko/ai-skills/tree/main/skills/python-pro
Command: npx skills add https://github.com/alexander-danilenko/ai-skills --skill python-pro-alexander-danilenko

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Build robust Python 3.11+ applications by enforcing type safety, modern async patterns, and production-grade practices.

Core Features & Use Cases

  • Enforces explicit type hints across public APIs and integrates with mypy for strict type checking.
  • Guides the use of async/await, dataclasses, and pytest-based test suites for reliable, scalable code.
  • Provides best practices for packaging, project structure, and clean, idiomatic Python.

Quick Start

Initialize a Python 3.11+ project with strict type hints, pytest coverage, and mypy configuration.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I configure mypy for strict type checking in a Python 3.11+ project?

Configure mypy for strict type checking by enforcing explicit type hints across public APIs. This Skill provides guidance on setting up mypy to satisfy production-grade coding standards and ensure comprehensive type safety in Python 3.11+ applications.

What's the best way to structure async/await patterns with dataclasses in Python?

Structure async/await patterns with dataclasses by following modern async-first development practices. This Skill guides reliable, scalable code creation through async-ready dataclass usage and production-grade Python 3.11+ patterns.

How do I set up pytest test suites for type-safe Python projects?

Set up pytest test suites for type-safe Python projects by integrating comprehensive test coverage with strict typing. This Skill provides guidance on pytest-based testing workflows that enforce explicit type annotations and production-grade standards.

Does this Python development approach work with existing Python 3.11+ codebases?

Yes, this Python development approach works with existing Python 3.11+ codebases that require strict typing, pytest test suites, dataclass usage, and async/await patterns. It enforces production-grade coding standards across public APIs.

When should I use explicit type annotations on public APIs in Python?

Use explicit type annotations on public APIs when building robust Python 3.11+ applications that require strict type safety and mypy integration. This Skill enforces comprehensive type hints to ensure production-grade, reliable code.

Why does async-first Python development require strict typing and mypy configuration?

Async-first Python development requires strict typing and mypy configuration to prevent runtime errors in concurrent code paths. This Skill enforces type safety and explicit annotations to ensure reliable, scalable async/await patterns in production.