lev-cdo-workflows

Execute multi-agent workflows with disk-based artifact passing and graph-based dispatch.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/lev-os/lev-content --skill lev-cdo-workflows
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lev-cdo-workflows
Source: https://github.com/lev-os/lev-content/tree/main/sources/skills/lev-cdo/workflows
Command: npx skills add https://github.com/lev-os/lev-content --skill lev-cdo-workflows

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured, deterministic way to execute complex, multi-agent workflows, preventing "groupthink" and ensuring reliable, traceable outcomes for tasks of varying complexity.

Core Features & Use Cases

  • Complexity-Based Execution: Dynamically adjusts workflow depth (Quick, Base, Deep, Epic) based on problem complexity.
  • Graph-Based Agent Dispatch: Agents operate sequentially, reading and writing to disk, ensuring isolation and preventing direct agent-to-agent communication during execution.
  • Use Case: Automate a deep-dive analysis of a strategic business decision by defining a multi-turn, multi-agent workflow that explores assumptions, debates hypotheses, and synthesizes findings into a final recommendation.

Quick Start

Execute a 'base' complexity workflow using the 'lev cdo execute' command with the specified complexity and input file.

Frequently Asked Questions about lev-cdo-workflows

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

FAQPage Schema
How do I orchestrate multi-agent workflows without causing groupthink?

You can orchestrate multi-agent workflows deterministically by using graph-based agent dispatch and disk-based artifact passing to isolate agents, preventing direct communication and groupthink during execution.

What is the best way to execute multi-agent systems with varying levels of concurrency?

Executing multi-agent systems with varying concurrency is handled by dynamically adjusting workflow depth—Quick, Base, Deep, or Epic—based on the specific problem complexity to ensure reliable, traceable outcomes.

How do I automate process automation for epic-level strategic analysis tasks?

Automate epic-level strategic analysis by defining multi-turn, multi-agent workflows that explore assumptions, debate hypotheses, and synthesize findings into a final recommendation through deterministic execution.

Can I use graph-based agent dispatch for multi-session workflow orchestration?

Yes, graph-based agent dispatch supports multi-session epic-level strategic analyses by operating sequentially, reading and writing artifacts to disk to ensure isolation and deterministic process automation.

Why does deterministic execution matter for complex agentic workflows?

Deterministic execution matters for complex agentic workflows because it ensures reliable, traceable outcomes by isolating agents through disk-based artifact passing rather than allowing unpredictable direct agent-to-agent communication.

Does multi-agent workflow orchestration work with external tracking systems?

Yes, multi-agent workflow orchestration integrates with external systems like BD for tracking, allowing complex workflows to be monitored and managed alongside your existing process automation infrastructure.