Can I use this for web frameworks other than FastAPI?

While it provides specific FastAPI patterns, the core Python logic, testing guidelines, and type hinting standards are applicable to Django, Flask, and general-purpose scripting.

Does this skill support older Python versions?

This skill is specifically optimized for Python 3.11 and above to leverage modern features like pipe Union types (|) and improved async performance.

How does this skill improve code quality?

It enforces strict type hinting, modular project structures, and includes configurations for automated quality tools like Ruff and Mypy to catch errors early.

Is it suitable for data science projects?

Yes, its focus on type-safe data modeling with Pydantic and efficient data processing patterns makes it highly effective for data engineering and ML workflows.

Modern Python Development

Name: Modern Python Development
Author: FortiumPartners

byFortiumPartners

0•

API Development

Builds robust, production-ready Python 3.11+ applications using modern type hints, FastAPI, async patterns, and rigorous pytest frameworks.

This skill equips Claude with specialized expertise in modern Python development, focusing on Python 3.11+ features such as advanced type hinting, async/await patterns, and high-performance frameworks like FastAPI. It guides the AI to implement industry best practices including Pydantic data validation, modular project structures (src-layout), and comprehensive testing with pytest. By utilizing this skill, developers ensure their AI-augmented workflow produces clean, maintainable, and type-safe code for backend services, CLI tools, and data processing applications while proactively avoiding common anti-patterns.

Key Features

01Develop asynchronous workflows using async/await and concurrency primitives

02Apply Pydantic and Dataclass patterns for type-safe data modeling

03Configure robust testing suites with pytest, fixtures, and mocks

040 GitHub stars

05Implement modern Python 3.11+ type hints and PEP-compliant signatures

06Architect high-performance FastAPI applications with dependency injection

Use Cases

01Building scalable REST APIs and backend services with FastAPI

02Developing maintainable CLI tools and automated data processing scripts

03Migrating legacy Python codebases to modern type-safe standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fortiumpartners/ensemble developing-with-python

For use in Claude.ai and ChatGPT

Download Skill