backend-patterns

Provide backend architecture patterns for scalable Node.js, Express, and Next.js APIs.

Updated Mar 24, 2026

Search Tags:#caching #authentication #database #backend #error-handling #nodejs #api-design

Ready to run

npx skills add https://github.com/Oruga420/claude-code-skills --skill backend-patterns-oruga420

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/Oruga420/claude-code-skills/tree/main/backend-patterns
Command: npx skills add https://github.com/Oruga420/claude-code-skills --skill backend-patterns-oruga420

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides clear backend architecture patterns and practical server-side best practices to reduce design errors, prevent performance regressions, and improve maintainability for API-driven applications.

Core Features & Use Cases

API Design & Layering: Resource-based REST/GraphQL patterns, repository and service layer separation, and middleware composition for auth, logging, and validation.
Database & Performance: Query optimization, N+1 prevention, transactions, and caching strategies (Redis, cache-aside) to improve throughput and reduce latency.
Reliability & Operations: Rate limiting, background job queuing, structured logging, centralized error handling, retry with exponential backoff, and role-based authorization for production readiness.

Quick Start

Use the backend-patterns skill to review an API design and recommend improvements for routing, data access layers, caching, error handling, and authentication.

Frequently Asked Questions about backend-patterns

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

FAQPage Schema

How do I structure a scalable Node.js backend with proper service and repository layer separation?▼

Scalable Node.js backend architecture uses repository and service layer separation to isolate data access from business logic. This pattern improves maintainability for REST or GraphQL endpoints and prevents tightly coupled code in API-driven applications.

What's the best way to prevent N+1 database queries and optimize API throughput in Express?▼

Preventing N+1 database queries in Express requires query optimization and transaction-safe operations at the repository layer. Implementing cache-aside strategies with caching further reduces latency and improves overall API throughput.

How does centralized error handling work in a Node.js API architecture?▼

Centralized error handling in Node.js architecture consolidates error management into a single middleware layer. This approach ensures structured logging and consistent error responses across all REST or GraphQL endpoints without scattering try-catch blocks.

Can I use JWT authentication and role-based access control with Next.js API routes?▼

JWT authentication and role-based access control apply directly to Next.js API routes through middleware composition. This secures endpoints by validating tokens and enforcing user permissions before reaching the service layer.

When should I add background job queuing and rate limiting to my backend architecture?▼

Add background job queuing and rate limiting when preparing backend architectures for production readiness. Rate limiting protects endpoints from abuse, while queuing handles long-running tasks asynchronously to prevent blocking API responses.

Why do I need a cache-aside strategy with Redis for my server-side application?▼

A cache-aside strategy with Redis improves server-side application performance by loading data into cache only on demand. This reduces database load and latency during read-heavy operations without complicating write operations.