serverside-architecture-selector

Define backend system architecture based on domain and data access complexity.

Updated Feb 12, 2026

Search Tags:#architecture #system design #domain-driven design #scaling #backend architecture

Ready to run

npx skills add https://github.com/lucas-martino/ai-augmented-development-agents --skill serverside-architecture-selector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: serverside-architecture-selector
Source: https://github.com/lucas-martino/ai-augmented-development-agents/tree/main/skills/serverside-architecture-selector
Command: npx skills add https://github.com/lucas-martino/ai-augmented-development-agents --skill serverside-architecture-selector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you design system architecture with a focus on simplicity, scalability, and separation of concerns, avoiding common pitfalls and providing a clear path for system evolution.

Core Features & Use Cases

System Complexity Assessment: Determines the complexity of the business domain and suggests appropriate architecture patterns.
Data Access Strategies: Offers guidance on data access patterns suitable for different use cases.
Communication and State Strategies: Assists in choosing the right communication and state management techniques.
Scalability Guidance: Provides advice on scaling strategies based on the operation's scale.
Consumer Considerations: Helps in selecting the most appropriate API design or communication protocol for different consumers.

Quick Start

Run the skill to define the system architecture for your new project, considering the specific domain complexity and required features.

Frequently Asked Questions about serverside-architecture-selector

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

FAQPage Schema

How do I define backend architecture for a system with high domain complexity?▼

To define backend architecture for complex domains, assess domain complexity and apply patterns like domain-driven design to ensure separation of concerns. This approach identifies the right structural patterns based on your business logic and data access requirements.

What is the best way to scale backend architecture for different consumer types?▼

Scaling backend architecture requires choosing appropriate communication protocols and API designs based on the specific consumer type. Matching your operational scale with the correct state management and communication strategies ensures effective system scaling.

How do I choose the right data access patterns for my system design?▼

Choosing the right data access patterns depends on evaluating your system's data access complexity and operational requirements. Selecting suitable strategies for your specific use cases maintains simplicity and supports backend scalability.

When do I need domain-driven design for my backend architecture?▼

You need domain-driven design when your backend architecture faces high domain complexity and requires strict separation of concerns. Assessing your system's specific business domain and operational needs determines when this approach is necessary.

How does system complexity assessment help in selecting architecture patterns?▼

System complexity assessment determines the intricacy of your business domain to suggest appropriate architecture patterns. Evaluating domain complexity, data access, and state management guides you toward a scalable and simple backend design.

Can I use this approach for both simple and highly scalable backend systems?▼

Yes, you can use this approach for simple and highly scalable backend systems because it focuses on simplicity, scalability, and separation of concerns. It identifies appropriate patterns for different operational scales and data access requirements.