rest

Guide RESTful API design covering uniform interface, idempotency, and cacheability.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/hung-phan/system-skills --skill rest-hung-phan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rest
Source: https://github.com/hung-phan/system-skills/tree/main/skills/system-review/references/communication/rest
Command: npx skills add https://github.com/hung-phan/system-skills --skill rest-hung-phan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive guidance on REST API design, helping developers create scalable, reliable, and efficient APIs that are easy to maintain and evolve.

Core Features & Use Cases

  • REST Principles: Deep dive into REST architecture, including uniform interface, stateless communication, and cacheability.
  • API Design Patterns: Learn patterns like idempotency, resource modeling, and status codes for creating maintainable APIs.
  • Use Case: Use this Skill to design a public API that needs to be scalable and reliable, ensuring it follows REST principles and leverages caching and client-tool support.

Quick Start

Use the rest skill to review the API design for the new payment service.

Frequently Asked Questions about rest

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

FAQPage Schema
What are the core principles of REST API design for building scalable public APIs?

Idempotency in REST API design ensures that making multiple identical requests produces the same result as a single request, which is critical for reliable network communication. Proper HTTP status codes and idempotent operations allow clients to safely retry failed requests without side effects.

When should I use REST over other API architectural styles for my service?

Use REST when designing public APIs that require scalability, reliability, and broad client-tool support. It is ideal for services that benefit from HTTP cacheability, a uniform interface, and standard resource modeling rather than specialized action-based RPC patterns.

How do I model resources and use HTTP status codes in a RESTful API?

Resource modeling in a RESTful API involves structuring endpoints around logical nouns rather than actions, while HTTP status codes communicate outcomes like success, client errors, or server failures. This approach ensures a uniform interface and long-term maintainability.

Do I need deep knowledge of HTTP semantics to design a robust REST API?

Yes, understanding HTTP semantics is required for robust REST API design. You must apply concepts like stateless communication, cacheability, idempotency, and a uniform interface correctly to ensure the resulting public APIs are scalable and maintainable.