What does this skill do?

The Backend Architecture Pro Skill provides design patterns and best practices for building scalable, maintainable, and secure backend applications. It covers RESTful and GraphQL API design, layer separation using repositories and services, query optimization to avoid the N+1 problem, caching with Redis using Cache-Aside, and centralized error handling, validation, and security with JWT and RBAC.

API Design
Define resource-based routes with query parameters for filtering, sorting, and pagination in RESTful or GraphQL APIs.
Layer Separation
Implement the Repository pattern to abstract data access and the Service pattern to encapsulate business logic.
Query Optimization
Avoid the N+1 problem by using batch fetch, selecting only the necessary columns, and applying indexing and connection pooling.
Security and Cache
Add JWT validation, role-based access control (RBAC), rate limiting, structured logs, and caching with Redis.

Usage examples

🔌 API Design
Design a RESTful API to manage markets with pagination, filtering by status, and sorting by date.
🏗️ Pattern Repository
Implement the Repository and Service pattern to access a markets table in Supabase using TypeScript.
⚡ N+1 Optimization
I have an endpoint that loads markets and then makes a query for each creator. Optimize it using batch fetch.
🔒 Caching with Redis
Add caching with Redis using the Cache-Aside pattern for the endpoint that reads a market by ID.

Features

Layer Patterns Repository for data access and service for business logic, with interfaces typed in TypeScript.
Prevention of N+1 Batch fetch and mapping techniques to reduce redundant queries and improve performance.
Cache and Cache-Aside with Redis Caching strategy with configurable TTL for frequent reads and to reduce the load on the database.
Integrated Security JWT validation, role-based access control (RBAC), rate limiting, and structured logs.
Centralized Error Management Unified middleware to consistently capture, format, and respond to errors across the entire API.

Frequently asked questions

It covers Node.js, Express, Next.js, TypeScript, Redis, and Supabase. The patterns are applicable to any JavaScript/TypeScript backend.
It is not required. The course covers caching strategies using Redis, but it also covers in-memory caching and HTTP headers as alternatives.
Yes. The skill covers both RESTful and GraphQL APIs, including resolver patterns, data loaders, and layer separation.
Yes. The Repository, Service, and Error Handling patterns are framework-agnostic and can be applied to Fastify, NestJS, or others.
Backend Architecture Pro — Scalable Backend Patterns with Claude AI

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