api-design

Designing a RESTful API requires following resource design guidelines for URL structure, naming rules, and handling relationships. This skill provides detailed patterns and best practices for structuring resources, actions, and endpoints to ensure production-grade API consistency.

Best practices for API pagination, filtering, and sorting include using both offset-based and cursor-based pagination strategies. This skill provides implementation patterns for filtering, sorting, and search functionalities to handle large datasets efficiently in REST APIs.

Implementing API versioning and rate limiting involves choosing URL or header versioning strategies and applying rate limit headers and tiers. This skill details strategies for versioning and rate limiting to maintain stable and secure REST API operations.

Yes, this skill provides code snippets and implementation patterns for TypeScript (Next.js), Python (Django), and Go. These examples demonstrate how to apply REST API design patterns, response formats, and authentication methods directly in those frameworks.

Your REST API should use standard HTTP status codes based on method semantics and structured JSON templates for error responses. This skill offers a comprehensive reference for status code usage and response formatting for success, collection, and error states.

Cursor-based pagination is preferred for large, real-time datasets where data changes frequently, while offset-based pagination suits static datasets. This skill covers both pagination strategies with specific use cases to guide your REST API implementation choices.