Does this skill support OpenAPI documentation?

Yes, it includes comprehensive OpenAPI 3.1 and AsyncAPI templates to ensure your API documentation is standardized, professional, and machine-readable.

How does this improve AI agent interactions with my code?

By enforcing consistent patterns and self-documenting endpoints, it makes it significantly easier for AI agents to understand your architecture, consume your services, and generate accurate boilerplate code.

Which protocols are covered in this framework?

The framework provides deep-dive guidance for REST, GraphQL, and gRPC, including protocol-specific naming conventions, status codes, and message structures.

Can I use this for frontend-backend integration?

Absolutely. It provides specific patterns for Zod validation, request interceptors with ky, and TanStack Query integration to bridge the gap between your API and UI layer.

API Design Framework

Name: API Design Framework
Author: yonatangross

byyonatangross

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Desarrollo de API

Provides comprehensive, production-ready design patterns and architectural standards for REST, GraphQL, and gRPC services.

The API Design Framework skill serves as a master blueprint for building robust, scalable, and developer-friendly APIs within the Claude Code environment. It equips developers with standardized conventions for resource naming, error handling, versioning, and pagination across multiple protocols including REST, GraphQL, and gRPC. By integrating industry best practices and frontend-ready patterns like Zod validation and TanStack Query, this framework ensures that backend services are intuitive, self-documenting, and optimized for both human developers and AI agent consumption.

Características Principales

01Built-in templates for OpenAPI 3.1 and AsyncAPI specifications

02Standardized error response formats and HTTP status code mappings

0369 GitHub stars

04Comprehensive pagination, filtering, and rate-limiting strategies

05Frontend integration patterns using Zod validation and TanStack Query

06Multimodal protocol support for REST, GraphQL, and gRPC architectures

Casos de Uso

01Architecting consistent and scalable API endpoints for new microservices

02Standardizing legacy API designs to improve developer experience and AI readability

03Implementing robust versioning and deprecation policies for public-facing services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit api-design-framework

For use in Claude.ai and ChatGPT

Download Skill