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

API 개발

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

소개

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.

주요 기능

Develop asynchronous workflows using async/await and concurrency primitives
Apply Pydantic and Dataclass patterns for type-safe data modeling
Configure robust testing suites with pytest, fixtures, and mocks
0 GitHub stars
Implement modern Python 3.11+ type hints and PEP-compliant signatures
Architect high-performance FastAPI applications with dependency injection

사용 사례

Building scalable REST APIs and backend services with FastAPI
Developing maintainable CLI tools and automated data processing scripts
Migrating legacy Python codebases to modern type-safe standards

소개

주요 기능

Develop asynchronous workflows using async/await and concurrency primitives
Apply Pydantic and Dataclass patterns for type-safe data modeling
Configure robust testing suites with pytest, fixtures, and mocks
0 GitHub stars
Implement modern Python 3.11+ type hints and PEP-compliant signatures
Architect high-performance FastAPI applications with dependency injection

사용 사례

Building scalable REST APIs and backend services with FastAPI
Developing maintainable CLI tools and automated data processing scripts
Migrating legacy Python codebases to modern type-safe standards