skills.rest
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api-design-principles

Enforce REST and GraphQL best practices for API design and specifications.

Updated Nov 11, 2025
Search Tags:#design#documentation#GraphQL#REST#best-practices#API-versioning
One-click install
npx skills add https://github.com/codexyzdev/codexyz --skill api-design-principles-codexyzdev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-design-principles
Source: https://github.com/codexyzdev/codexyz/tree/main/.trae/skills/api-design-principles
Command: npx skills add https://github.com/codexyzdev/codexyz --skill api-design-principles-codexyzdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Inconsistent API design leads to miscommunication, brittle integrations, and duplicated effort; this Skill provides principled guidelines to craft scalable, developer-friendly REST and GraphQL interfaces.

Core Features & Use Cases

  • Schema-first design patterns for REST and GraphQL
  • Versioning, pagination, error handling, and documentation templates
  • Use Case: Evaluate or draft API specifications for new services or refactor existing endpoints to align with best practices

Quick Start

Draft an API specification for a new service, including endpoints, request/response schemas, and error payloads; then review it against common REST/GraphQL design patterns.

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 versioning and error handling?▼

REST API best practices for versioning and error handling involve enforcing schema-first design and consistent error payloads. This ensures scalable, developer-friendly interfaces by standardizing HTTP semantics across new and refactored endpoints.

How do I design a GraphQL schema for scalable APIs?▼

Designing a GraphQL schema for scalable APIs requires a schema-first pattern to enforce consistent structures. This approach standardizes pagination, error payloads, and documentation templates for robust, developer-friendly interfaces.

How do I structure consistent API documentation and specifications?▼

Structure consistent API documentation and specifications by applying reusable documentation templates. This enforces schema-first design patterns, ensuring endpoints, request/response schemas, and error payloads align across REST and GraphQL services.

What is the best way to evaluate existing API specifications for consistency?▼

Evaluating existing API specifications for consistency requires reviewing them against common REST and GraphQL design patterns. This identifies miscommunication and brittle integrations, enforcing proper HTTP semantics and reusable documentation.

When should I use GraphQL versus REST for my API design?▼

Choosing GraphQL versus REST for API design depends on your specific data fetching needs, but both require schema-first design patterns. Applying consistent versioning, pagination, and error handling ensures scalable interfaces across either protocol.

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