skills.rest
shex1627
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api-design

Review and design RESTful APIs for resource modeling, pagination, and versioning.

Updated Feb 23, 2026
Search Tags:#restful#api design#microservices#software architecture#tool design#api review
One-click install
npx skills add https://github.com/shex1627/shudaizi-mcp --skill api-design-shex1627
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-design
Source: https://github.com/shex1627/shudaizi-mcp/tree/main/skills/api-design
Command: npx skills add https://github.com/shex1627/shudaizi-mcp --skill api-design-shex1627

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a systematic approach to designing and reviewing APIs, ensuring they are robust, consistent, and aligned with best practices, thereby reducing development friction and improving maintainability.

Core Features & Use Cases

  • API Design Guidance: Offers principles for resource modeling, standard methods, pagination, and versioning.
  • API Review: Critiques existing API surfaces against established patterns and best practices.
  • Agent Compatibility: Ensures APIs are designed with AI agents in mind, facilitating tool integration.
  • Use Case: When designing a new set of RESTful endpoints for a user management system, use this Skill to ensure consistent naming conventions, proper use of HTTP methods, and effective error handling.

Quick Start

Use the api-design skill to review the proposed endpoints for the new user service.

Frequently Asked Questions about api-design

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

FAQPage Schema
What are the best practices for RESTful API design and resource modeling?▼

RESTful API design relies on systematic resource modeling, standard HTTP methods, consistent naming conventions, and effective pagination and versioning strategies to ensure robust and maintainable interfaces.

How do I review existing API surfaces against established patterns?▼

Review existing APIs by critiquing their surfaces against established software architecture patterns, verifying resource modeling, standard methods, pagination, and versioning consistency to improve maintainability.

Can I design microservices APIs that are compatible with AI agents?▼

Yes, design microservices APIs with agent compatibility by applying specific design guidance that facilitates AI tool integration, ensuring robust endpoints that support automated interactions and tool integration.

How do I handle API versioning and pagination in a user management system?▼

Handle API versioning and pagination by applying systematic design principles that address standard methods, ensuring consistent naming conventions and proper HTTP method usage within the user management system.

Does this API design guidance apply to new microservices architecture endpoints?▼

Yes, this API design guidance applies to new microservices architecture endpoints by providing principles for resource modeling and standard methods, ensuring new RESTful interfaces remain robust and consistent.

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