How does this skill handle asynchronous database operations?

It implements SQLAlchemy 2.0's async pattern using 'async_sessionmaker' and 'create_async_engine', providing a thread-safe 'get_db' dependency for FastAPI routers.

Does it include built-in security features?

Yes, it provides a comprehensive JWT authentication pattern, including password hashing with passlib/bcrypt, token generation with python-jose, and route protection using FastAPI dependencies.

What versions of FastAPI and Pydantic does this skill support?

This skill is optimized for the latest stable releases, including FastAPI 0.123+ and Pydantic 2.11+, ensuring compatibility with the newest performance improvements and Pydantic v2 features.

Is the project structure suitable for large-scale applications?

Absolutely. It uses a domain-based (modular) structure rather than a file-type structure, which is the recommended practice for maintainable, enterprise-level microservices.

FastAPI Backend Development

Name: FastAPI Backend Development
Author: jezweb

byjezweb

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Desarrollo de API

Builds production-ready Python APIs using FastAPI, Pydantic v2, and asynchronous SQLAlchemy 2.0.

Acerca de

This skill equips Claude with the patterns and best practices needed to architect scalable Python backends. It focuses on modern standards like Pydantic v2 for data validation, SQLAlchemy 2.0 for asynchronous database operations, and JWT-based authentication for secure access. By implementing a domain-driven project structure and leveraging the high-performance 'uv' package manager, it ensures that your API projects are maintainable, well-documented via Swagger/OpenAPI, and optimized for high-concurrency performance from the start.

Características Principales

91 GitHub stars
Complete JWT authentication flow including registration and protected routes
Robust data validation and serialization using Pydantic v2 schemas
Domain-based project organization for enterprise-level maintainability
Automated dependency management and project setup using the 'uv' tool
Async database integration with SQLAlchemy 2.0 and aiosqlite

Casos de Uso

Migrating synchronous Python services to modern asynchronous FastAPI architectures
Bootstrapping a new RESTful API with industry-standard security and database patterns
Implementing secure user management and role-based access control for web applications

Acerca de

Características Principales

91 GitHub stars
Complete JWT authentication flow including registration and protected routes
Robust data validation and serialization using Pydantic v2 schemas
Domain-based project organization for enterprise-level maintainability
Automated dependency management and project setup using the 'uv' tool
Async database integration with SQLAlchemy 2.0 and aiosqlite

Casos de Uso

Migrating synchronous Python services to modern asynchronous FastAPI architectures
Bootstrapping a new RESTful API with industry-standard security and database patterns
Implementing secure user management and role-based access control for web applications