api-patterns

What problem does it solve?

Designing and implementing backend APIs with proper validation, error handling, and documentation can be complex and inconsistent across different frameworks. This skill provides a library of proven API patterns to ensure consistency and quality.

Core Features & Use Cases

• Multi-Protocol Support: Offers patterns for REST, GraphQL, and tRPC APIs, catering to diverse architectural needs and allowing flexibility in design.
• Framework-Specific Guidance: Adapts patterns to popular backend frameworks like Node.js (Express, FastAPI), Python (Django, Flask), Go (Gin), and Rust (Actix), ensuring relevance and ease of integration.
• Integrated Best Practices: Includes guidance on input sanitization, rate limiting, CORS, API versioning, and OpenAPI/Swagger documentation, promoting secure and well-documented APIs.
• Standardized Error Handling: Provides patterns for consistent error responses and appropriate HTTP status codes, improving API usability and debugging.
• Use Case: A backend team is developing a new microservice and needs to ensure its API adheres to best practices for security, validation, and error handling. This skill provides templates and guidance to quickly implement CRUD operations for a REST API, including request validation with Pydantic (for Python) and standardized error responses.

Quick Start

Generate a new REST API endpoint for user creation using the Python FastAPI framework, including Pydantic models for request validation and standardized error handling.