oort-cascade

Decompose complex tasks into role-based dependency DAGs with structured handoffs.

6|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Kgan01/ghengis-skills --skill oort-cascade
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oort-cascade
Source: https://github.com/Kgan01/ghengis-skills/tree/main/plugins/ghengis-skills/skills/oort-cascade
Command: npx skills add https://github.com/Kgan01/ghengis-skills --skill oort-cascade

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Task orchestration for complex, multi-step work by decomposing requests into specialized roles, wiring them into a dependency graph, executing in waves, and validating outputs before delivery.

Core Features & Use Cases

  • Four-layer model: Task Cascade, Meta-Prompting, Handoff Protocol, Output Formatting
  • Role-based decomposition: Researcher, Builder, Validator, Documenter, with optional specialists
  • Dependency DAG and parallel wave execution to improve throughput
  • Structured handoffs with data-first communication to improve traceability
  • Use cases include multi-department projects, research-to-build transitions, and quality gate validation

Quick Start

Deploy a cascade by defining a complex task, assign roles, and implement handoffs to chain outputs through validators.

Frequently Asked Questions about oort-cascade

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

FAQPage Schema
How do I orchestrate complex multi-step tasks with specialized roles?

Multi-agent orchestration decomposes complex requests into specialized roles like Researcher, Builder, and Validator, wiring them into a dependency DAG for parallel wave execution. It uses structured handoffs and a final validation pass to ensure quality.

What is a dependency DAG and when do I need it for task decomposition?

A dependency DAG structures tasks by mapping dependencies between specialized roles, enabling parallel wave execution to improve throughput. You need this for multi-step, cross-disciplinary projects that benefit from role specialization and rigorous output validation.

Can I use structured handoffs to chain outputs through validators?

Yes, structured handoffs use data-first communication to chain outputs through validators, improving traceability across multi-step work. This process maps to a four-layer model: Task Cascade, Meta-Prompting, Handoff Protocol, and Output Formatting.

Does multi-agent orchestration work for research-to-build transitions?

Multi-agent orchestration suits research-to-build transitions by assigning specialized roles and executing tasks in parallel waves. It includes a final validation pass using the Agent tool to ensure outputs meet requirements before delivery.

What are the limitations of using a cascade model for project management?

The cascade model requires defined layers including Task Cascade, Meta-Prompting, Handoff Protocol, and Output Formatting, which may introduce overhead. It is less suited for simple tasks that do not benefit from parallel execution or role specialization.