skills.rest
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backend-patterns

Automate backend design pattern guidance for REST/GraphQL APIs and microservices.

Updated Aug 23, 2026
Search Tags:#architecture#caching#backend#microservices#patterns#api-design#database-design
One-click install
npx skills add https://github.com/xxipv6/claudeSandBox --skill backend-patterns-xxipv6
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/xxipv6/claudeSandBox/tree/main/claudeCode-none/claude_arm64/workspace/.claude/skills/backend-patterns
Command: npx skills add https://github.com/xxipv6/claudeSandBox --skill backend-patterns-xxipv6

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend teams struggle with designing scalable, maintainable patterns for APIs, data models, and distributed systems.

Core Features & Use Cases

  • Patterns for Layered Architecture, Dependency Injection, Caching, Messaging, and Microservices.
  • Practical examples for REST/GraphQL APIs, DB schema design, and service orchestration.
  • Use Case: When starting a new backend service, apply these patterns to structure controllers, services, repositories, and event flows.

Quick Start

Review the guide and adapt the layered architecture, DI, caching, and messaging patterns to your project.

Frequently Asked Questions about backend-patterns

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

FAQPage Schema
What are the best backend patterns for structuring scalable microservices?▼

The best backend patterns for scalable microservices include Layered Architecture, Dependency Injection, and event-driven messaging. These patterns structure controllers, services, and repositories to maintain robust APIs across distributed systems.

How do I design a database schema and REST API architecture for a new backend service?▼

To design database schemas and REST API architecture, apply structured patterns for data models and service orchestration. This involves configuring controllers, repositories, and service layers to ensure maintainable data flows.

When should I use caching strategies in backend API development?▼

You should use caching strategies in backend API development when optimizing data retrieval bottlenecks. Applying specific caching patterns alongside messaging and database design reduces latency and improves scalable architecture performance.

Can I apply these microservices architecture patterns to a monolithic application?▼

Yes, you can apply these architecture patterns to a monolithic application. The guidance covers scalable architectures across both monoliths and microservices, allowing structured implementation of dependency injection and layered design.

Does this backend pattern guidance support GraphQL API design?▼

Yes, this backend pattern guidance supports GraphQL API design. It provides practical examples and actionable guidance tailored to structuring robust APIs for both REST and GraphQL implementations in real-world projects.

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