api-development

To build a REST API with FastAPI, use this Skill to generate code templates, define endpoints with Pydantic, and apply best practices for design and data validation. It provides commands to quickly create and structure new endpoints.

The best way to document and version a GraphQL API is by following the structured guidelines in this Skill, which offers tips on versioning strategies, error handling, and documentation formats to ensure clear API communication and maintenance.

You need SQLAlchemy and SQLModel to manage database operations within your API implementation. This Skill integrates these libraries alongside FastAPI and Pydantic to handle data modeling and database interactions seamlessly.

Yes, you can use this for both REST and GraphQL API design. It provides specific guidelines, implementation examples, and templates for both architectural styles, allowing you to choose and execute the appropriate protocol for your project.

Pydantic handles data validation in FastAPI endpoints by enforcing strict type checking and data schemas. This Skill leverages Pydantic models to ensure incoming requests and outgoing responses conform to predefined structures, reducing errors.

Guidelines for API error handling and authentication involve using libraries like passlib and jose for secure token management. This Skill provides templates to implement robust authentication flows and consistent error responses across your endpoints.