Which framework should I choose for a public API?

For public APIs, REST with OpenAPI is recommended. This skill suggests using FastAPI (Python) or Hono (TypeScript) due to their built-in support for automatic documentation and high request-per-second performance.

Does this skill support real-time data streaming?

Yes, it includes specific patterns for Server-Sent Events (SSE) streaming and GraphQL subscriptions, which are ideal for AI chat interfaces and real-time dashboards.

Can I use this for service-to-service communication?

Absolutely. It provides detailed guides for gRPC using Tonic (Rust) and Connect-Go, which are optimized for high-performance internal microservice communication with strong protocol buffer typing.

How does this skill handle large dataset navigation?

The skill prioritizes cursor-based pagination for production environments, as it handles real-time data changes more effectively and scales to billions of records without the performance decay of offset-based pagination.

API Design & Implementation

Name: API Design & Implementation
Author: ancoleman

byancoleman

•

158

Desarrollo de API

Implements and optimizes backend API architectures across REST, GraphQL, gRPC, and tRPC protocols.

Acerca de

This skill provides Claude with a comprehensive framework for designing, building, and scaling modern APIs. It covers a wide spectrum of patterns including REST, GraphQL, gRPC, and tRPC, offering specific implementation guidance for popular frameworks like FastAPI, Hono, Axum, and Gin. Beyond basic endpoint creation, the skill ensures production readiness by incorporating advanced features like cursor-based pagination, rate limiting, automatic OpenAPI documentation, and high-performance service-to-service communication patterns.

Características Principales

158 GitHub stars
Language-agnostic patterns for Python, TypeScript, Rust, and Go frameworks
Multi-protocol support for REST, GraphQL, gRPC, and tRPC implementations
Automatic OpenAPI/Swagger documentation generation and validation
Performance-optimized middleware for rate limiting, caching, and authentication
Advanced data handling including cursor-based pagination and SSE streaming

Casos de Uso

Creating public-facing REST APIs with automatic documentation and validation via FastAPI
Building full-stack TypeScript applications with end-to-end type safety using tRPC
Developing high-performance microservices with gRPC and Rust

Acerca de

Características Principales

158 GitHub stars
Language-agnostic patterns for Python, TypeScript, Rust, and Go frameworks
Multi-protocol support for REST, GraphQL, gRPC, and tRPC implementations
Automatic OpenAPI/Swagger documentation generation and validation
Performance-optimized middleware for rate limiting, caching, and authentication
Advanced data handling including cursor-based pagination and SSE streaming

Casos de Uso

Creating public-facing REST APIs with automatic documentation and validation via FastAPI
Building full-stack TypeScript applications with end-to-end type safety using tRPC
Developing high-performance microservices with gRPC and Rust