backend-patterns

Codify backend patterns for scalable Node.js service design.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/Eotel/claude-marketplace --skill backend-patterns-eotel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/Eotel/claude-marketplace/tree/main/plugins/base/skills/backend-patterns
Command: npx skills add https://github.com/Eotel/claude-marketplace --skill backend-patterns-eotel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend patterns codify proven, maintainable approaches to building scalable server-side systems, reducing architectural drift and rework.

Core Features & Use Cases

  • API Design Patterns: RESTful routing, repository and service layers, and middleware for clean authorization and validation.
  • Database & Caching: query optimization, N+1 avoidance, transactions, and caching strategies to speed up responses.
  • Robustness & Observability: structured error handling, logging, and monitoring to improve reliability in production.
  • Practical Use Cases: apply patterns to a Node.js API serving multiple clients with consistent data access and security controls.

Quick Start

Develop a modular backend architecture plan for a Node.js API project that applies API design, data access layering, caching, and error handling patterns.

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 API with service and repository layers?

Structured error handling in Node.js backend patterns involves centralized logging and monitoring to improve production reliability. It codifies consistent error responses across middleware, ensuring robust observability and maintainable server-side systems without architectural drift.

What's the best way to avoid N+1 query problems in Node.js data access layers?

Caching strategies for Node.js APIs involve applying data access layering patterns to speed up responses and reduce database load. This codified approach ensures maintainable performance optimization across multiple clients serving consistent data.

Does this backend patterns approach work for both monoliths and microservices?

Middleware for Node.js API design handles clean authorization and validation within the request pipeline. By codifying these backend patterns, developers achieve consistent security controls and structured data access across multiple clients in scalable server-side systems.

When do I need structured error handling and observability patterns in Node.js?

To develop a modular backend architecture plan for a Node.js API, apply codified patterns for API design, data access layering, caching, and error handling. This structured approach accelerates scalable service design while satisfying requirements for security controls and observability.