aiasys-system-design

Enforce AIASys-specific design constraints for frontend interfaces, task semantics, and backend models.

21|12|Updated May 17, 2026
One-click install
npx skills add https://github.com/AIAsys/AIASys --skill aiasys-system-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aiasys-system-design
Source: https://github.com/AIAsys/AIASys/tree/main/.team-skills/aiasys-system-design
Command: npx skills add https://github.com/AIAsys/AIASys --skill aiasys-system-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents AI from generating frontend designs, backend models, and product architectures that follow generic best practices instead of AIASys-specific system boundaries, ensuring all implementations remain consistent with the current AIASys product skeleton and architecture constraints.

Core Features & Use Cases

  • System-Specific Design Rules: Provides 14+ core rules covering frontend information architecture, task semantics, settings layering, backend capability models, configuration scoping, and agent memory design.
  • Architecture Alignment: Ensures new pages, modals, capability catalogs, and settings centers adhere to the workspace-first product semantics and three-layer information hierarchy (catalog, default, workspace).
  • Use Case: When designing a new MCP capability catalog, this Skill enforces the adapter-based modeling approach (CLI, native API, MCP) and prevents MCP from being elevated to a universal abstraction for all capabilities.

Quick Start

Use the aiasys-system-design skill to review the proposed settings page redesign and verify it maintains proper separation between workspace settings, branch settings, and user default settings.

Frequently Asked Questions about aiasys-system-design

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

FAQPage Schema
How do I enforce platform-specific system boundaries for frontend and backend architecture?

To enforce system boundaries, apply workspace-first product semantics and a three-layer information architecture for frontend interfaces and backend models. This ensures designs adhere to specific architectural constraints rather than generic best practices.

What is the best way to design a settings center with proper scope separation?

Designing a settings center requires maintaining strict scope separation between workspace settings, branch settings, and user default settings. This separation prevents configuration overlap and enforces proper product semantics across the platform.

How does adapter-based capability access modeling work for MCP catalogs?

Adapter-based capability access modeling treats MCP as a specific adapter type alongside CLI and native APIs. It prevents MCP from becoming a universal abstraction, ensuring capability catalogs maintain proper system boundaries and access patterns.

Why does my AI-generated task semantics model violate system architecture constraints?

AI-generated task semantics often violate architecture constraints by applying generic best practices instead of platform-specific scope separation. Enforcing specific design rules ensures task semantics align with the required product skeleton and boundaries.

When do I need to use a three-layer information hierarchy for product design?

A three-layer information hierarchy is needed when designing new pages, modals, or capability catalogs to maintain consistency. It structures information across catalog, default, and workspace layers to enforce workspace-first semantics.

Can I use generic agent memory mechanisms for backend configuration models?

Generic agent memory mechanisms lack the required system boundaries for backend configuration models. You must apply platform-specific design rules to ensure agent memory and configuration scoping align with the workspace-first architecture.