rest-api-design

aj-geddes/useful-ai-prompts · updated Jun 3, 2026

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$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill rest-api-design
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summary

RESTful API design guidance covering resource modeling, HTTP methods, status codes, versioning, and documentation.

  • Covers resource naming conventions, HTTP method usage, query parameters, response formats, and status code selection with clear do's and don'ts
  • Includes reference guides for OpenAPI documentation, request/response examples, API versioning, authentication, rate limiting, and a complete Express.js implementation example
  • Emphasizes consistency through plural resource names,
skill.md

REST API Design

Table of Contents

Overview

Design REST APIs that are intuitive, consistent, and follow industry best practices for resource-oriented architecture.

When to Use

  • Designing new RESTful APIs
  • Creating endpoint structures
  • Defining request/response formats
  • Implementing API versioning
  • Documenting API specifications
  • Refactoring existing APIs

Quick Start

Minimal working example:

✅ Good Resource Names (Nouns, Plural)
GET    /api/users
GET    /api/users/123
GET    /api/users/123/orders
POST   /api/products
DELETE /api/products/456

❌ Bad Resource Names (Verbs, Inconsistent)
GET    /api/getUsers
POST   /api/createProduct
GET    /api/user/123  (inconsistent singular/plural)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Resource Naming Resource Naming, HTTP Methods & Operations
Request Examples Request Examples
Query Parameters Query Parameters
Response Formats Response Formats
HTTP Status Codes HTTP Status Codes, API Versioning, Authentication & Security, Rate Limiting Headers
OpenAPI Documentation OpenAPI Documentation
Complete Example: Express.js const express = require("express");

Best Practices

✅ DO

  • Use nouns for resources, not verbs
  • Use plural names for collections
  • Be consistent with naming conventions
  • Return appropriate HTTP status codes
  • Include pagination for collections
  • Provide filtering and sorting options
  • Version your API
  • Document thoroughly with OpenAPI
  • Use HTTPS
  • Implement rate limiting
  • Provide clear error messages
  • Use ISO 8601 for dates

❌ DON'T

  • Use verbs in endpoint names
  • Return 200 for errors
  • Expose internal IDs unnecessarily
  • Over-nest resources (max 2 levels)
  • Use inconsistent naming
  • Forget authentication
  • Return sensitive data
  • Break backward compatibility without versioning
how to use rest-api-design

How to use rest-api-design on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add rest-api-design
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill rest-api-design

The skills CLI fetches rest-api-design from GitHub repository aj-geddes/useful-ai-prompts and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/rest-api-design

Reload or restart Cursor to activate rest-api-design. Access the skill through slash commands (e.g., /rest-api-design) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.645 reviews
  • Hana Ramirez· Dec 24, 2024

    Useful defaults in rest-api-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Dec 16, 2024

    Keeps context tight: rest-api-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arya Zhang· Dec 12, 2024

    We added rest-api-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Henry White· Dec 12, 2024

    Registry listing for rest-api-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hana Thomas· Dec 4, 2024

    rest-api-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Anika Patel· Nov 15, 2024

    rest-api-design has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Nov 7, 2024

    Registry listing for rest-api-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mia Tandon· Nov 3, 2024

    Keeps context tight: rest-api-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Oct 26, 2024

    rest-api-design reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Anika Ndlovu· Oct 22, 2024

    rest-api-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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