backend-patterns

Name: backend-patterns
Availability: InStock
Author: ClaudeForge

Apply standardized patterns for APIs, auth, caching, and data handling in backend systems.

39|6|Updated Jan 12, 2026

Search Tags:#caching #authentication #validation #backend #error-handling #api-design #backend-patterns

Ready to run

npx skills add https://github.com/claudeforge/orchestrator --skill backend-patterns-claudeforge

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: backend-patterns
Source: https://github.com/claudeforge/orchestrator/tree/main/skills/backend-patterns
Command: npx skills add https://github.com/claudeforge/orchestrator --skill backend-patterns-claudeforge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Expert patterns for building reliable, maintainable backend systems across API design, authentication, caching, validation, and error handling.

Core Features & Use Cases

API design conventions and REST/GraphQL guidance for scalable services
Authentication and authorization patterns with token management and middleware
Caching, validation, error handling, and data-layer best practices for production-grade apps
Use case: rapidly prototype a new microservice with standard patterns applied to API surfaces and data flows

Quick Start

Describe your backend need and I will apply standardized patterns to your API design, authentication, caching, and error handling.

Frequently Asked Questions about backend-patterns

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

FAQPage Schema

What are the standard backend patterns for scalable API design?▼

Standard backend patterns for scalable API design cover REST and GraphQL conventions, authentication middleware, caching strategies, and structured error handling to ensure reliable services. These patterns provide reusable templates for architecture reviews and direct code implementation.

How do I implement authentication and authorization patterns with token management?▼

Implement authentication and authorization patterns by applying standardized middleware for token management, validating credentials at API entry points, and enforcing access controls across microservices and serverless contexts. Concrete templates guide direct integration into existing data flows.

What's the best way to handle caching and validation in a microservice?▼

Handle caching and validation in a microservice by applying production-grade best practices that standardize data-layer integration, cache invalidation, and input verification. This ensures maintainable data flows and reduces redundant processing across service boundaries.

Does this approach work for both gRPC and serverless backend contexts?▼

Yes, these backend patterns apply across REST, gRPC, microservices, and serverless contexts. The guidelines provide concrete examples for API surfaces and data-store integration that engineers can implement directly regardless of the specific protocol architecture.

How do I structure error handling for production-grade backend APIs?▼

Structure error handling for production-grade backend APIs by applying standardized patterns that ensure consistent error responses across API surfaces. These templates cover data-store integration and validation failures, enabling reliable architecture reviews and direct code implementation.