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python-pro

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
One-click install
npx skills add https://github.com/k-negishi/calendar-auto-register --skill python-pro-k-negishi
Or copy as Structured Prompt for Agent▼
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.

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