api-design-principles

Develop and enforce REST and GraphQL API design principles.

28|3|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Ketbome/hytalepanel --skill api-design-principles-ketbome
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-design-principles
Source: https://github.com/Ketbome/hytalepanel/tree/main/.agents/skills/api-design-principles
Command: npx skills add https://github.com/Ketbome/hytalepanel --skill api-design-principles-ketbome

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, jinja2, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Align API design with established REST and GraphQL practices to ensure scalable, developer-friendly interfaces that are easy to document and maintain over time.

Core Features & Use Cases

  • Schema-first design guidance for REST and GraphQL endpoints.
  • Versioning and pagination patterns to handle evolving APIs and large datasets.
  • Best-practice patterns for error handling, data loading, and documentation.

Quick Start

Provide a starter REST and GraphQL API design package aligned with your project goals.

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 and GraphQL API design?

REST and GraphQL API design best practices involve schema-first development, standardized versioning, efficient pagination, robust error handling, and DataLoader optimization to build scalable, developer-friendly interfaces.

How do I design a scalable API schema for REST and GraphQL?

Design a scalable API schema by adopting a schema-first approach for REST and GraphQL endpoints, establishing clear versioning and pagination patterns to handle evolving interfaces and large datasets effectively.

How does DataLoader optimization work in GraphQL API design?

DataLoader optimization in GraphQL API design batches and caches database requests, preventing the N+1 query problem to ensure data loading remains efficient and scalable across large datasets.

Can I establish team-wide API design standards across multiple projects?

You can establish team-wide API design standards across projects by enforcing consistent REST and GraphQL principles, covering schema-first design, error handling, pagination, and documentation practices for all interfaces.

What is the best way to handle API versioning and pagination patterns?

The best way to handle API versioning and pagination patterns is applying standardized design principles to manage evolving REST and GraphQL endpoints and process large datasets without breaking existing clients.

How do I enforce error handling and documentation practices in API specifications?

Enforce error handling and documentation practices in API specifications by reviewing them against established REST and GraphQL design principles to ensure interfaces are developer-friendly, maintainable, and consistently documented.