Does it cover API security and rate limiting?

Yes, it includes implementation patterns for common authentication methods like Bearer tokens (JWT) and API keys, alongside standard rate-limiting header conventions.

How does this help with API versioning?

The skill covers multiple versioning strategies including URI, header, and query parameter methods, along with standard deprecation header patterns (Sunset/Deprecation).

Does this skill support both REST and GraphQL?

Yes, it provides specific design patterns, query structures, and mutation practices for both RESTful architectures and GraphQL schemas.

Can it help with large dataset performance?

Absolutely. It includes detailed patterns for offset-based, cursor-based, and keyset (seek method) pagination to handle large datasets efficiently.

API Design Patterns

Name: API Design Patterns
Author: NickCrew

byNickCrew

•

API Development

Provides expert architectural guidance for building production-grade REST and GraphQL APIs using industry-standard patterns.

About

API Design Patterns is a specialized Claude Code skill designed to help developers architect scalable, maintainable, and professional-grade service contracts. It offers comprehensive patterns for resource-oriented design, versioning strategies, complex pagination, and standardized error handling. Whether you are building a new microservice from scratch or refactoring legacy endpoints for consistency, this skill provides the implementation patterns and best practices needed to ensure your APIs are performant, secure, and developer-friendly according to industry standards like OpenAPI and JSON:API.

Key Features

Guidance on HATEOAS, sparse fieldsets, idempotency, and caching
Advanced pagination techniques including cursor-based and keyset methods
Comprehensive REST and GraphQL architectural patterns and schemas
Implementation strategies for API versioning, deprecation, and lifecycle
7 GitHub stars
Standardized error handling with detailed schema and category patterns

Use Cases

Creating comprehensive API specifications using OpenAPI or GraphQL Schema
Refactoring legacy APIs to meet modern scalability and consistency standards
Designing high-performance service contracts for microservices architectures

About

Key Features

Guidance on HATEOAS, sparse fieldsets, idempotency, and caching
Advanced pagination techniques including cursor-based and keyset methods
Comprehensive REST and GraphQL architectural patterns and schemas
Implementation strategies for API versioning, deprecation, and lifecycle
7 GitHub stars
Standardized error handling with detailed schema and category patterns

Use Cases

Creating comprehensive API specifications using OpenAPI or GraphQL Schema
Refactoring legacy APIs to meet modern scalability and consistency standards
Designing high-performance service contracts for microservices architectures