python-pro

Generate type annotations, run mypy checks, and format code with black.

17|3|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/codeApe-7/ai-agent-workflowGroup --skill python-pro-codeape-7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/codeApe-7/ai-agent-workflowGroup/tree/main/skills/python/python-pro
Command: npx skills add https://github.com/codeApe-7/ai-agent-workflowGroup --skill python-pro-codeape-7

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides best practices and tooling for building reliable, maintainable Python 3.11+ applications focused on type safety, asynchronous programming, and robust testing.

Core Features & Use Cases

  • Type Checking: Generate and validate precise type annotations across codebases.
  • Async Programming: Implement structured concurrency, context managers, and async data streaming.
  • Testing and Validation: Create comprehensive pytest suites, run static analysis with mypy, and perform code formatting with black.
  • Use Case: Develop a high-performance web API with strict type checks, async database access, and automated tests to ensure code quality.

Quick Start

Load the type system guide, then write typefully annotated async functions to handle web data fetching tasks.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I add type hints and run static type checking for Python async functions?

To add type hints and run static type checking for Python async functions, you write typefully annotated code and validate it using mypy. This Skill provides guides to generate precise annotations and ensure async code maintains strict type safety for reliable execution.

What is the best way to structure async concurrency and context managers in Python?

The best way to structure async concurrency and context managers in Python is by following structured concurrency patterns. This Skill assists in implementing these patterns to handle asynchronous data streaming and concurrent tasks maintainably across your codebase.

How do I configure pytest with mypy and black for Python code formatting and testing?

You configure pytest with mypy and black by integrating them into your development workflow to run static analysis and formatting alongside tests. This Skill supports creating comprehensive pytest suites and automating code formatting with black for reliability.

Does this Python development workflow support building high-performance web APIs?

Yes, this Python development workflow supports building high-performance web APIs. It helps you develop APIs with strict type checks, async database access, and automated tests to ensure high code quality and maintainability across your application.

What Python version is required for modern type safety and async programming tooling?

Python 3.11 or higher is required for modern type safety and async programming tooling. This Skill provides best practices and tooling specifically designed to build reliable and maintainable Python 3.11+ applications using httpx and ruff.