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backend-patterns

Provide reusable backend design patterns for APIs, data access, and service layers.

3|Updated Jan 29, 2026
Search Tags:#architecture#caching#middleware#api-design#backend-patterns#repository-pattern
One-click install
npx skills add https://github.com/peopleforrester/claude-dotfiles --skill backend-patterns-peopleforrester
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/peopleforrester/claude-dotfiles/tree/main/skills/development/backend-patterns
Command: npx skills add https://github.com/peopleforrester/claude-dotfiles --skill backend-patterns-peopleforrester

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a library of proven backend patterns to improve the reliability, scalability, and maintainability of API-driven systems, reducing architecture drift and reinvented boilerplate.

Core Features & Use Cases

  • API Design patterns: Guidelines for RESTful endpoints, versioning, and response structures to standardize interactions across services.
  • Data Access & Storage: Patterns like the Repository pattern, data mappers, and migration-safe practices to separate concerns and simplify testing.
  • Caching & Performance: Cache-Aside and invalidation strategies to optimize response times while preserving data correctness.
  • Service Architecture: Middleware pipelines, health checks, and graceful shutdown patterns to build robust services.
  • Use Case: When building a microservice, apply these patterns to structure endpoints, storage, and caching, enabling faster on-boarding and safer evolution of the codebase.

Quick Start

To start applying these patterns, study the sections above and start refactoring a small module to align with the Repository, Cache-Aside, and Middleware conventions.

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 APIs?▼

Backend patterns for scalable APIs include Repository for data access, Cache-Aside for performance, and Middleware pipelines for request processing. Applying these modular patterns improves reliability, testability, and maintainability across web services.

How do I use the repository pattern to separate data access logic?▼

Use the repository pattern to separate data access logic from business logic by mapping domain objects to storage layers. This pattern isolates data mappers and simplifies testing for data-intensive applications.

When should I implement cache-aside and invalidation strategies?▼

Implement cache-aside and invalidation strategies when optimizing API response times for data-intensive applications. These caching patterns preserve data correctness while reducing database load during high-traffic scenarios.

Does this backend pattern library apply to Python, TypeScript, and Go microservices?▼

Yes, these backend patterns apply to microservices across Python, TypeScript, and Go. They are language-agnostic, modular conventions designed to structure endpoints, storage, and caching for any web service.

How do I add health checks and graceful shutdown to a service architecture?▼

Add health checks and graceful shutdown to service architecture using middleware pipeline patterns. These robust service patterns ensure safe migrations and handle connection draining during deployments.

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