Is there support for caching?

Yes, it includes patterns for Redis-based caching layers and the Cache-Aside pattern to improve response times for frequently accessed data.

What frameworks does this skill support?

While the code examples focus on Node.js, Express, and Next.js, the architectural patterns (like Repository and Service layers) are applicable to almost any server-side environment.

Does it include security best practices?

Absolutely. It covers JWT token validation, Role-Based Access Control (RBAC) via Higher-Order Functions, and centralized error handling to prevent sensitive data exposure.

How does this handle long-running tasks?

The skill includes patterns for background jobs and simple queue management, allowing you to process heavy tasks without blocking the main API response.

Can this help with database performance issues?

Yes, it provides specific implementation patterns for preventing N+1 query problems, managing database transactions, and selecting only necessary data columns to reduce load.

Backend Engineering Patterns

Name: Backend Engineering Patterns
Author: affaan-m

byaffaan-m

•

34,605

API開発

Implements scalable backend architectures, API design best practices, and optimized database patterns for Node.js and Next.js applications.

概要

This skill provides Claude with a comprehensive library of battle-tested backend development patterns, enabling the AI to generate production-ready server-side code. It covers essential architectural concerns including RESTful API design, repository and service layer patterns, efficient database querying, and robust error handling. Whether building with Express or Next.js API routes, this skill ensures implementation follows industry-standard security practices like RBAC and performance optimizations like caching and background processing.

主な機能

Advanced data access patterns using Repository and Service Layers
34,605 GitHub stars
Comprehensive security implementations for JWT authentication and Role-Based Access Control (RBAC)
Standardized RESTful API structure and resource-based URL design
Scalability patterns including Redis caching, rate limiting, and background job queues
Database optimization techniques including N+1 query prevention and transaction management

ユースケース

Implementing robust security, error handling, and rate limiting for public-facing APIs
Optimizing existing database queries and implementing caching layers to improve application performance
Scaffolding a new Node.js or Next.js backend with clean, maintainable layered architecture

概要

主な機能

Advanced data access patterns using Repository and Service Layers
34,605 GitHub stars
Comprehensive security implementations for JWT authentication and Role-Based Access Control (RBAC)
Standardized RESTful API structure and resource-based URL design
Scalability patterns including Redis caching, rate limiting, and background job queues
Database optimization techniques including N+1 query prevention and transaction management

ユースケース

Implementing robust security, error handling, and rate limiting for public-facing APIs
Optimizing existing database queries and implementing caching layers to improve application performance
Scaffolding a new Node.js or Next.js backend with clean, maintainable layered architecture