api-design-principles

Design REST and GraphQL APIs with schema-first and versioning strategies.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/gouravsingh311/splice-app --skill api-design-principles-gouravsingh311
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-design-principles
Source: https://github.com/gouravsingh311/splice-app/tree/main/.codex/skills/api-design-principles
Command: npx skills add https://github.com/gouravsingh311/splice-app --skill api-design-principles-gouravsingh311

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designing APIs that are intuitive and scalable is challenging. This skill provides a structured approach to REST and GraphQL API design to prevent chaotic endpoints, inconsistent naming, and brittle standards, enabling teams to ship maintainable APIs that developers love.

Core Features & Use Cases

  • RESTful design principles: resource-oriented endpoints, proper HTTP methods, consistent naming conventions.
  • GraphQL design principles: schema-first development, typed schemas, queries/mutations, and real-time capabilities.
  • Versioning and patterns: strategies for URL, header, and query parameter versioning; pagination and error handling patterns.

Quick Start

Begin by drafting the API design document following RESTful and GraphQL principles, then implement a small example API that uses proper versioning and pagination.

Frequently Asked Questions about api-design-principles

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

FAQPage Schema
How do I design REST and GraphQL APIs that scale effectively?

REST API versioning strategies include URL, header, and query parameter versioning. Choosing the right approach prevents brittle standards and breaking changes, allowing teams to maintain backward compatibility while evolving RESTful resource endpoints systematically.

How does schema-first design work for GraphQL APIs?

Schema-first design for GraphQL APIs enforces typed schemas before implementation. By defining queries, mutations, and real-time capabilities upfront, teams ensure consistent contracts and avoid anti-patterns that make GraphQL endpoints brittle and hard to maintain.

What is the best way to implement pagination and error handling in APIs?

The best way to implement pagination and error handling is applying consistent patterns across REST and GraphQL endpoints. Standardizing these responses prevents inconsistent API behavior and ensures clients receive predictable data subsets and actionable error details.

Can I use this approach to audit existing API specifications?

Yes, you can audit existing API specifications using these structured design principles. By checking current endpoints against RESTful resource modeling and GraphQL schema-first standards, teams identify anti-patterns and enforce scalable API standards across the organization.

When should I avoid specific API design anti-patterns?

You should avoid API design anti-patterns like inconsistent naming conventions and chaotic endpoints whenever designing new APIs or auditing existing specifications. Preventing these issues ensures your REST and GraphQL interfaces remain intuitive and maintainable.