Design REST APIs with versioning, pagination, error handling, and OpenAPI documentation.
npx skills add https://github.com/jnPiyush/AI-Squad --skill api-design-jnpiyush
Please help me install this Agent Skill. Skill: api-design Source: https://github.com/jnPiyush/AI-Squad/tree/main/ai_squad/skills/api-design Command: npx skills add https://github.com/jnPiyush/AI-Squad --skill api-design-jnpiyush
This Skill helps organizations design robust REST APIs with consistent versioning, pagination, error handling, rate limiting, and OpenAPI documentation, reducing integration friction and maintenance.
Use Case: Design a user service with endpoints like /api/v1/users and /api/v1/users/{id} to illustrate versioned resources and pagination.
Draft an API design outline for a user management service with versioned endpoints, pagination defaults, and an OpenAPI schema fragment.
High-intent search queries and answers about installing and using this skill.
To design a REST API with consistent versioning, establish URL path versioning like /api/v1/ and apply standard pagination patterns to manage resource collections, reducing integration friction and maintenance overhead.
The best way to structure REST API error handling is by mapping meaningful error responses to standard HTTP status codes, enforcing consistent conventions across microservices, public, and internal APIs.
To generate and maintain OpenAPI documentation, you define an OpenAPI schema fragment for your versioned endpoints and integrate it with tooling like Swagger UI to ensure API discoverability.
Yes, this approach applies to REST API design across microservices, establishing conventions for resource naming, response formats, rate limiting, and versioning documentation for distributed services.
You need URL path versioning for your REST API when providing clear version discovery, allowing endpoints like /api/v1/users and /api/v1/users/{id} to maintain backward compatibility during iterative updates.
Your REST API needs standard pagination patterns to manage large sets of resources efficiently, preventing payload overload and ensuring consistent response formats when querying collections like user lists.
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