backend-architecture

What it does

This skill enables AI agents to design, plan, and evaluate backend system structures. It supports generating architecture diagrams, defining service boundaries, and selecting appropriate technologies for scalable applications.

When to use it

• Planning a new microservices or monolithic application from scratch.
• Evaluating the scalability and security of an existing backend infrastructure.
• Generating technical documentation or RFCs for system design decisions.
• Identifying potential bottlenecks in data flow between services.

Key capabilities

• Generates high-level and detailed architecture diagrams.
• Recommends technology stacks based on specific workload requirements.
• Analyzes trade-offs between different architectural patterns (e.g., event-driven vs. request-response).
• Outlines database schemas and API contract definitions.

Example prompts

• "Design a scalable backend architecture for a real-time chat application using Node.js and WebSockets."
• "Evaluate the pros and cons of migrating our current monolith to a microservices architecture."
• "Create a system design document including database schemas for an e-commerce inventory management service."

Tips & gotchas

Ensure you provide context about expected traffic volume, latency requirements, and compliance needs (e.g., GDPR) to get relevant architectural advice. This skill focuses on structural design; it does not automatically generate the full implementation code for every component.