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python-pro

Generate type-annotated Python 3.11+ code with mypy, pytest, black, and ruff.

2|Updated Jun 29, 2026
Search Tags:#type safety#testing#best practices#pytest#python#mypy#async programming
One-click install
npx skills add https://github.com/Axel-DaMage/opencode-config --skill python-pro-axel-damage
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/Axel-DaMage/opencode-config/tree/main/skills/python-pro
Command: npx skills add https://github.com/Axel-DaMage/opencode-config --skill python-pro-axel-damage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mypy, pytest, black, ruff, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenges of building modern Python applications, ensuring type safety, asynchronous programming, and robust error handling. It streamlines the process of creating type-annotated code, setting up testing frameworks, and applying best practices.

Core Features & Use Cases

  • Type Safety: Generates type-annotated code and configures mypy for strict type checking.
  • Async Programming: Implements async/await patterns for efficient I/O operations.
  • Testing: Writes pytest test suites with fixtures and mocking for comprehensive testing.
  • Use Case: Ideal for developers working on Python 3.11+ applications requiring advanced features like type hints, async/await, and structured error handling.

Quick Start

Run the python-pro skill to generate a type-annotated Python function that handles asynchronous data fetching.

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 Python 3.11+?▼

Configure mypy for strict type checking by generating type-annotated Python 3.11+ code and applying strict mode settings. This ensures robust application architecture by enforcing type safety and catching type errors during development.

What is the best way to write pytest test suites with fixtures and mocking?▼

Write pytest test suites with fixtures and mocking by generating comprehensive test cases that validate type-annotated code. This approach ensures robust error handling and verifies async programming patterns within your Python applications.

Does this Python tool support async programming and async/await patterns?▼

Yes, it supports async programming by implementing async/await patterns for efficient I/O operations. This allows Python 3.11+ developers to build modern applications requiring asynchronous data fetching and structured error handling.

How do I validate Python code with black and ruff?▼

Validate Python code with black and ruff by applying automated formatting and linting rules. This enforces modern coding best practices, ensuring the generated type-annotated code maintains consistent style and structural integrity.

Can I use this for existing Python applications or only new projects?▼

You can use it for Python 3.11+ applications requiring advanced features like type hints and async/await. It streamlines adding type annotations, configuring mypy, and writing pytest suites for robust application architecture.

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