python-pro

Name: python-pro
Availability: InStock
Author: k-negishi

Enforce type safety and async patterns in Python 3.11+ applications.

1|Updated Nov 8, 2025

Search Tags:#pytest #python #async #mypy #type-hints #dataclasses

Ready to run

npx skills add https://github.com/k-negishi/calendar-auto-register --skill python-pro-k-negishi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/k-negishi/calendar-auto-register/tree/main/.claude.bk/skills/python-pro
Command: npx skills add https://github.com/k-negishi/calendar-auto-register --skill python-pro-k-negishi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams build robust Python 3.11+ applications by enforcing type safety, async programming patterns, and production-grade practices.

Core Features & Use Cases

Type-safe code with complete annotations and mypy configuration.
Async/await patterns for scalable I/O-bound tasks, plus dataclasses for structured data.
Pytest-based testing strategies and packaging best practices for reliable deployments.
Suitable for web services, automation, and data-processing pipelines.

Quick Start

Configure your project to enforce typing and async patterns, then apply Pytest-based testing guidelines for immediate results.

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 hints in a Python 3.11+ project?▼

Configure mypy for strict type hints by enforcing complete type annotations across your Python 3.11+ codebase. This Skill provides mypy configuration strategies to ensure type-safe code and reliable static analysis for production-grade applications.

What's the best way to structure async programming patterns with dataclasses in Python?▼

Structure async programming patterns in Python by combining async/await for scalable I/O-bound tasks with dataclasses for structured data. This approach ensures robust, type-safe code architecture suitable for web services and data processing pipelines.

How do I set up pytest with fixtures for testing async Python applications?▼

Set up pytest with fixtures for async Python applications by applying Pytest-based testing strategies. This Skill guides configuring fixtures to validate async/await patterns, ensuring rigorous testing coverage for production-grade Python deployments.

Do I need complete type annotations to build robust Python applications for production?▼

Yes, complete type annotations are required to build robust Python applications. Enforcing strict typing and mypy configuration satisfies production-grade practices, ensuring type safety and scalable code architecture for reliable deployments.

Can I use this Python strict typing and async approach for data processing pipelines?▼

Yes, you can use this strict typing and async approach for data processing pipelines. The Skill applies type safety, async/await patterns, and packaging best practices directly to scalable data-processing workflows and automation scripts.