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python-pro

Implement type-safe, async-first Python 3.11+ modules with pytest suites.

6|Updated Feb 25, 2026
Search Tags:#pytest#python#packaging#async#mypy#type-safety#dataclasses
One-click install
npx skills add https://github.com/archibate/archibate-skills --skill python-pro-archibate
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/archibate/archibate-skills/tree/main/old-skills/redundant-skills/python-pro
Command: npx skills add https://github.com/archibate/archibate-skills --skill python-pro-archibate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Modern Python projects often suffer from inconsistent typing, fragile async patterns, insufficient test coverage, and poor packaging that block safe production deployment. This Skill helps teams convert ad-hoc code into maintainable, type-safe, and well-tested Python 3.11+ codebases that meet production quality standards.

Core Features & Use Cases

  • Type Safety & Architecture: Design protocols, dataclasses, type aliases, and complete type annotations to satisfy mypy strict checks.
  • Async-First Patterns: Implement asyncio TaskGroup, async context managers, async generators, and safe concurrency primitives for I/O-bound systems.
  • Testing & Packaging: Produce pytest suites with fixtures and high coverage, apply black and ruff formatting, and create pyproject/Poetry packaging for distribution.
  • Use Case: Migrate a legacy service to Python 3.11 by adding full type coverage, converting blocking I/O to async, writing comprehensive tests, and preparing a releaseable package.

Quick Start

Use the python-pro skill to transform a Python module into fully typed, async-capable, tested, and packaged code ready for production.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I make my Python code pass mypy strict checks?▼

To make Python code pass mypy strict checks, implement complete type annotations using protocols, dataclasses, and type aliases. This ensures modules satisfy strict typing requirements for maintainable production environments.

What is the best way to convert blocking Python I/O to async patterns?▼

The best way to convert blocking Python I/O to async patterns is by implementing asyncio TaskGroup, async context managers, and async generators. This async-first approach establishes safe concurrency primitives specifically for I/O-bound systems.

How do I generate comprehensive pytest test suites for Python 3.11+ modules?▼

To generate comprehensive pytest test suites for Python 3.11+ modules, you produce pytest fixtures with high coverage alongside your fully annotated code. This ensures robust testing standards are met before production deployment.

Does this approach support packaging configuration for Poetry and pyproject.toml?▼

Yes, this approach supports packaging configuration for Poetry and pyproject.toml. It creates the necessary packaging files for distribution while applying black and ruff formatting to ensure production-ready code quality.

When do I need to migrate a legacy service to type-safe, async-first Python?▼

You need to migrate a legacy service to type-safe, async-first Python when ad-hoc code suffers from fragile async patterns and insufficient test coverage. Adding full type coverage and converting to async prepares a releaseable package for safe production deployment.

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