moai-ref-api-patterns

Codify REST and GraphQL API patterns for endpoint design and code reviews.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/gkswls5006-web/last-todo --skill moai-ref-api-patterns-gkswls5006-web
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-ref-api-patterns
Source: https://github.com/gkswls5006-web/last-todo/tree/main/.claude/skills/moai-ref-api-patterns
Command: npx skills add https://github.com/gkswls5006-web/last-todo --skill moai-ref-api-patterns-gkswls5006-web

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

REST/GraphQL API design patterns, error handling conventions, and input validation reference for backend development. Agent-extending skill that amplifies expert-backend expertise with production-grade API patterns. Use when designing APIs, implementing endpoints, or reviewing backend code.

Core Features & Use Cases

  • REST/GraphQL design patterns for resource naming, pagination, versioning, and error handling.
  • Clear guidance on input validation, status codes, and error responses for consistent APIs.
  • Use Case: when designing APIs, implementing endpoints, or reviewing backend code to align with production-grade API patterns.

Quick Start

Apply the API patterns to your current backend endpoints to improve consistency and reliability.

Frequently Asked Questions about moai-ref-api-patterns

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

FAQPage Schema
What are the best API design patterns for consistent REST and GraphQL backend endpoints?

API design patterns for REST and GraphQL endpoints codify resource naming, pagination, versioning, and error handling to ensure scalable and consistent backend behavior. Applying these patterns during endpoint implementation eliminates reliability gaps in production systems.

How do I standardize HTTP status codes and error response formats in backend APIs?

Standardizing HTTP status handling and error response formats requires applying defined patterns for input validation and consistent error structures across all REST and GraphQL endpoints. This approach ensures predictable API behavior and improves documentation quality.

What is the best way to handle input validation and versioning for REST and GraphQL APIs?

Handling input validation and versioning for REST and GraphQL APIs involves applying codified patterns that enforce defined HTTP status handling and structured error formats. This ensures consistent API behavior and scalable backend design across endpoint implementations.

Can I use these API patterns when reviewing existing backend code for consistency?

These API patterns apply directly to backend code reviews to evaluate endpoint implementation consistency, input validation, error formats, and versioning patterns. Reviewing existing REST and GraphQL endpoints against these patterns identifies reliability gaps and ensures production-grade design.

Why does my API design lack consistency across REST and GraphQL endpoints?

API design lacks consistency when REST and GraphQL endpoints do not follow codified patterns for resource naming, pagination, versioning, and error handling. Implementing standardized input validation and defined HTTP status handling resolves these reliability gaps in backend design.

Do I need specific frameworks to implement scalable API design patterns?

No specific frameworks are required to implement scalable API design patterns for REST and GraphQL endpoints. The patterns focus on codifying resource naming, input validation, status codes, and error formats that apply across any backend implementation or code review.