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python-pro

Scaffold Python 3.11+ projects with strict type hints and pytest fixtures.

16|Updated Apr 19, 2026
Search Tags:#pytest#python#async#mypy#type-hints#lint
One-click install
npx skills add https://github.com/Marwan78888/Neuron-Cli --skill python-pro-marwan78888
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/Marwan78888/Neuron-Cli/tree/main/scratch/claude-skills-main/skills/python-pro
Command: npx skills add https://github.com/Marwan78888/Neuron-Cli --skill python-pro-marwan78888

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Type-safe Python development for Python 3.11+ projects, delivering fully typed code, strict static checks, and reliable test scaffolds to reduce runtime errors and onboarding time.

Core Features & Use Cases

  • Generating type-annotated Python code with strict typing and dataclass support
  • Providing pytest-based test suites with fixtures and mocking, plus strict mypy checks
  • Integrating Black and Ruff for consistent formatting and quality across projects

Quick Start

Install the tool and run it against a Python project to scaffold a typed codebase, tests, and formatting config.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I scaffold a type-safe Python project with mypy and pytest?▼

Scaffolding a type-safe Python project involves generating strict type annotations, integrating mypy for static checks, and setting up pytest fixtures to reduce runtime errors and ensure maintainability.

What's the best way to set up async-ready Python with strict type hints?▼

The best way to set up async-ready Python is by generating a scaffold that applies strict type annotations to public APIs and integrates mypy for reliable, static type checking.

Does this Python scaffolding integrate Black and Ruff for code formatting?▼

Yes, this Python scaffolding integrates Black and Ruff to enforce consistent formatting and code quality across backend services, data processing pipelines, and utilities.

Can I use dependency injection patterns with dataclasses in Python 3.11+?▼

Yes, you can use dependency injection patterns with dataclasses in Python 3.11+ by generating a scaffold that provides fully typed code and reliable test structures.

Why use strict type annotations and mypy for Python backend services?▼

Using strict type annotations and mypy for Python backend services catches type errors during static analysis, reducing runtime errors and ensuring comprehensive coverage on public APIs.

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