backend-patterns

Design scalable Node.js, Express, and Next.js backend architectures with repository, service, and middleware patterns.

1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/Typeless-Git/skills --skill backend-patterns-typeless-git
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/Typeless-Git/skills/tree/main/backend-patterns
Command: npx skills add https://github.com/Typeless-Git/skills --skill backend-patterns-typeless-git

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend architecture patterns and best practices for building scalable Node.js, Express, and Next.js API routes.

Core Features & Use Cases

  • Structured patterns for REST and GraphQL APIs, repository/service/middleware layers, and error handling.
  • Guidance on database query optimization, caching strategies, and background jobs.
  • Practical examples across API design, data access, and server-side architecture.

Quick Start

Implement a repository-service-middleware structure in your API project to apply the 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 backend with Express and Next.js API routes?

Structure scalable Node.js backends using repository, service, and middleware layers to separate data access, business logic, and request handling across Express and Next.js API routes.

What is the repository-service-middleware pattern for API design?

The repository-service-middleware pattern isolates database queries in repositories, business logic in services, and request handling in middleware, creating maintainable structures for REST and GraphQL endpoints.

How do I implement error handling patterns for Express and Next.js API routes?

Implement error handling patterns by structuring middleware to catch and process errors consistently across REST and GraphQL endpoints, ensuring scalable and maintainable backend architecture.

What's the best way to optimize database queries and caching strategies in a Node.js backend?

Optimize database queries and caching strategies by applying targeted backend patterns that structure data access layers efficiently, reducing latency for Node.js and Express applications.

Can I use these backend architecture patterns for both REST and GraphQL APIs?

Yes, these backend architecture patterns provide concrete structures for repository, service, and middleware layers that work effectively across both REST and GraphQL API endpoints.