cascade-sys

Orchestrate parallel agent teams to build tools, infrastructure, or systems.

1|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/GrazianoGuiducci/d-nd-seed --skill cascade-sys
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cascade-sys
Source: https://github.com/GrazianoGuiducci/d-nd-seed/tree/main/skills/thinker/it/cascade-sys
Command: npx skills add https://github.com/GrazianoGuiducci/d-nd-seed --skill cascade-sys

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of new tools, infrastructure, or systems by orchestrating parallel teams of AI agents, rather than proceeding step-by-step.

Core Features & Use Cases

  • Team-based Construction: Deploys coordinated Level 1 (Intelligence) and Level 2 (Construction) teams of agents.
  • Parallel Processing: Leverages parallel execution within and across team levels for efficiency.
  • Use Case: When tasked with building a new microservice, Cascade-Sys will spin up separate agents for architecture design, dependency research, and existing infrastructure auditing, before coordinating build, configuration, and testing agents.

Quick Start

Use cascade-sys to build a new CI/CD pipeline for the project.

Frequently Asked Questions about cascade-sys

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

FAQPage Schema
How do I automate multi-agent orchestration for building new infrastructure?

Multi-agent orchestration for building infrastructure is automated by deploying coordinated teams of agents that execute intelligence gathering, design, build, configuration, and testing phases in parallel. This cascaded team structure manages the entire system construction workflow efficiently.

What is cascaded team structure in multi-agent system building?

Cascaded team structure in multi-agent system building organizes AI agents into distinct hierarchical levels. Level 1 teams handle intelligence gathering and design, while Level 2 teams manage construction, configuration, and testing, enabling parallel execution across phases.

How do I build a new CI/CD pipeline using parallel AI agents?

To build a new CI/CD pipeline using parallel AI agents, you initiate a construction workflow with defined triggers. Separate agents are deployed for architecture design, dependency research, and infrastructure auditing, coordinating build and testing agents through convergence gates.

Can I use multi-agent orchestration to construct microservices instead of building step-by-step?

Multi-agent orchestration constructs microservices by spinning up separate agents for architecture design, dependency research, and existing infrastructure auditing. This parallel processing approach replaces sequential step-by-step building with coordinated execution across distinct agent teams.

Do I need defined triggers to start automated infrastructure construction workflows?

Yes, defined triggers are required to initiate automated infrastructure construction workflows. Clear convergence gates between team levels are also necessary to manage the transition from intelligence gathering phases to construction and testing phases.

What are the limitations of parallel multi-agent orchestration for system building?

Parallel multi-agent orchestration requires clearly defined triggers to start workflows and explicit convergence gates between team levels. Without these structured coordination points, managing parallel execution across intelligence and construction teams may fail to synchronize properly.