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api-design-principles

Guide REST and GraphQL API design with versioning and error handling principles.

1|Updated Mar 11, 2026
Search Tags:#api design#rest#developer experience#graphql#software architecture#api patterns
One-click install
npx skills add https://github.com/breverdbidder/cli-anything-biddeed --skill api-design-principles-breverdbidder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-design-principles
Source: https://github.com/breverdbidder/cli-anything-biddeed/tree/main/.claude/skills/api-design-principles
Command: npx skills add https://github.com/breverdbidder/cli-anything-biddeed --skill api-design-principles-breverdbidder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenges of designing and implementing APIs that are intuitive, scalable, and maintainable, reducing developer friction and improving overall system quality.

Core Features & Use Cases

  • RESTful Principles: Guides on resource-oriented design, HTTP method semantics, and common patterns like pagination and error handling.
  • GraphQL Principles: Covers schema design, resolver patterns, and efficient data fetching with DataLoader.
  • Versioning Strategies: Explains different approaches to API versioning (URL, header, query parameters).
  • Use Case: A team is designing a new microservice API. They use this Skill to ensure their REST endpoints follow best practices for resource naming, HTTP methods, and consistent error responses, making the API easier for other services to consume.

Quick Start

Consult the API Design Principles skill for guidance on designing RESTful resource collection endpoints.

Frequently Asked Questions about api-design-principles

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What are the best practices for REST API resource naming and HTTP method semantics?▼

REST API design best practices involve resource-oriented architecture, standard HTTP method semantics, and consistent patterns for pagination and error handling to ensure endpoints are intuitive and maintainable.

How do I design a scalable GraphQL schema with efficient data fetching?▼

Scalable GraphQL schema design requires structured resolver patterns and efficient data fetching mechanisms like DataLoader to optimize queries and reduce developer friction.

What is the best way to version an API to maintain backward compatibility?▼

API versioning strategies include using URL paths, custom headers, or query parameters to manage changes and maintain backward compatibility without disrupting existing consumers.

How does consistent error handling improve developer experience in microservice APIs?▼

Consistent error handling in microservice APIs improves developer experience by standardizing error responses, making services easier to consume, debug, and integrate across distributed architectures.

When should I choose GraphQL over REST for my software architecture?▼

Choose GraphQL over REST when your software architecture requires clients to fetch precisely needed data through flexible queries, whereas REST suits standardized resource-oriented endpoints.

Can I use these API design principles for a new microservice API?▼

Yes, these API design principles guide teams in designing new microservice APIs by enforcing resource naming, HTTP method best practices, and consistent error responses for better service consumption.

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