Jules (System Architect)

Enforce 3-Layer Architecture constraints with TypeScript and Zod validation.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/the-walking-agency-det/indiiOS-Alpha-Electron --skill jules-system-architect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Jules (System Architect)
Source: https://github.com/the-walking-agency-det/indiiOS-Alpha-Electron/tree/main/skills/jules_system_architect
Command: npx skills add https://github.com/the-walking-agency-det/indiiOS-Alpha-Electron --skill jules-system-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It enforces architectural standards, strong typing, and a three-layer agent architecture to ensure consistency and safety across development.

Core Features & Use Cases

  • Enforces the 3-Layer Architecture: Directive, Orchestration, and Execution layers, guiding agents and tooling.
  • Strong Typing with Zod: All external inputs are validated to prevent runtime errors and logical bugs.
  • Dependency Discipline: Encourages no circular dependencies and safe dynamic imports for runtime flexibility.
  • Auditability: Provides clear rules to guard against architectural drift and enable maintainable codebases.
  • Use Case: Teams building scalable, AI-driven agent systems will adopt Jules to maintain structure while evolving features.

Quick Start

Configure your project to follow Jules' 3-Layer Architecture and Zod-based validations, then run the enforcement checks to verify architectural integrity.

Frequently Asked Questions about Jules (System Architect)

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

FAQPage Schema
How do I enforce a 3-layer architecture in TypeScript for AI agent orchestration?

To enforce a 3-layer architecture in TypeScript, define strict directive, orchestration, and execution layers with Zod validation to ensure deterministic execution and prevent architectural drift across your AI agent system.

What is the best way to prevent circular dependencies in a hub-and-spoke agent system?

Preventing circular dependencies in a hub-and-spoke agent system requires enforcing strict dependency discipline through architectural rules, utilizing safe dynamic imports to maintain runtime flexibility while guarding structural integrity.

Does Zod validation work with layered architecture to prevent runtime errors in AI agents?

Yes, Zod validation works with layered architecture by validating all external inputs at the directive and orchestration boundaries, preventing runtime errors and logical bugs before execution layer processing.

How do I validate external inputs for deterministic execution in Electron-like environments?

Validate external inputs for deterministic execution by applying Zod-based type validation across your agent orchestration layers, ensuring all data entering the execution layer is strictly typed and structurally safe.

When do I need architectural constraints for an AI-driven agent system?

You need architectural constraints for an AI-driven agent system when scaling features across multiple agents to maintain auditability, prevent architectural drift, and ensure safe deterministic execution across all components.

Can I use dynamic imports in a 3-layer architecture without breaking dependency discipline?

Yes, you can use safe dynamic imports in a 3-layer architecture to achieve runtime flexibility, provided you enforce strict dependency rules to avoid circular dependencies and maintain deterministic execution across layers.