system-design

Design system architectures and evaluate trade-offs for services, APIs, and data models.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/SMOrchestra-ai/smorch-brain --skill system-design-smorchestra-ai
Or copy as Structured Prompt for Agent
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Skill: system-design
Source: https://github.com/SMOrchestra-ai/smorch-brain/tree/main/plugins/engineering/skills/system-design
Command: npx skills add https://github.com/SMOrchestra-ai/smorch-brain --skill system-design-smorchestra-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Help teams and engineers design systems, services, and architectures by turning vague requirements into concrete component diagrams, data models, API contracts, and scaling strategies so designs meet functional and non-functional goals.

Core Features & Use Cases

  • Requirements Gathering: Capture functional needs, non-functional constraints (scale, latency, availability, cost), and team or timeline limitations.
  • High-Level Design: Produce component diagrams, data flow descriptions, API contracts, and storage recommendations.
  • Deep Dive & Reliability: Define data models, API endpoints, caching strategies, queue/event patterns, error handling, retry logic, load estimation, scaling approaches, failover, and monitoring.
  • Trade-off Analysis: Explicitly list assumptions, compare options (complexity vs cost vs time-to-market), and identify items to revisit as the system evolves.
  • Use Case: Architect a high-throughput e-commerce order processing backend with clear APIs, storage and caching strategy, and failure recovery plans.

Quick Start

Use the system-design skill to design a scalable API and data model for an e-commerce order processing system that requires high throughput and strong availability.

Frequently Asked Questions about system-design

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

FAQPage Schema
How do I design a scalable system architecture for a high-throughput web service?

Design scalable system architectures by translating requirements into component diagrams, data models, and API contracts that address latency, availability, caching, and scaling for distributed backends.

What is the best way to evaluate architectural trade-offs for a distributed backend?

Evaluate architectural trade-offs by explicitly comparing options for complexity, cost, and time-to-market, while listing assumptions and identifying items to revisit as the system evolves.

How do I define API contracts and data models for an e-commerce order processing system?

Define API contracts and data models by capturing functional needs and non-functional constraints, then mapping them to storage recommendations, queuing patterns, and error handling logic.

Can I use this approach to plan caching strategies and failover for API-driven products?

Yes, this system design approach defines caching strategies, queue patterns, retry logic, failover, and monitoring to ensure API-driven products meet availability and reliability requirements.

What should I include in system design for reliability and load estimation?

System design for reliability includes load estimation, scaling approaches, failover mechanisms, and monitoring, ensuring distributed backends meet technical availability and latency requirements.