api-design-principles

Standardize REST and GraphQL API design with schema-first development.

1|Updated Nov 9, 2025
One-click install
npx skills add https://github.com/drgaciw/academic-athletics-saas --skill api-design-principles-drgaciw
Or copy as Structured Prompt for Agent
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Skill: api-design-principles
Source: https://github.com/drgaciw/academic-athletics-saas/tree/main/.claude/skills/backend-development/api-design-principles
Command: npx skills add https://github.com/drgaciw/academic-athletics-saas --skill api-design-principles-drgaciw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standardize API design to reduce fragmentation and improve consistency across REST and GraphQL interfaces.

Core Features & Use Cases

  • Schema-first design for clear contracts and type safety.
  • REST and GraphQL patterns including versioning, pagination, and error handling.
  • Guidance for documentation, testing, and lifecycle management.

Quick Start

Apply schema-first design to a new or existing REST/GraphQL API to establish contracts and guidelines.

Frequently Asked Questions about api-design-principles

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

FAQPage Schema
How do I standardize API design for consistent REST and GraphQL interfaces?

To standardize API design, apply schema-first development to establish clear contracts, enforce resource modeling, and define consistent error handling and pagination patterns across REST and GraphQL interfaces.

What is schema-first API design and when do I need it?

Schema-first API design defines clear contracts and type safety before implementation. You need it when designing new APIs or establishing internal guidelines to ensure long-term maintainability and reduce fragmentation.

How do I handle API versioning and deprecation strategies for REST and GraphQL?

Handle API versioning and deprecation by enforcing clear lifecycle management strategies within your schema-first design, ensuring consistent transitions and comprehensive documentation across REST and GraphQL workflows.

What's the best way to structure API error handling and pagination?

The best way to structure API error handling and pagination is to enforce standardized patterns within your schema-first design, ensuring consistent interfaces and robust error responses across all resources.

Can I use these API design principles for existing API specifications?

Yes, you can apply these API design principles to existing REST and GraphQL APIs by reviewing specifications against schema-first patterns, clear resource modeling, and established documentation workflows to improve consistency.

Why does API documentation need to be tied to schema-first development?

API documentation needs to be tied to schema-first development because it ensures comprehensive, accurate contracts and type safety, directly supporting long-term maintainability and reducing interface fragmentation.