cdo

Orchestrate multi-agent workflows into phased execution plans with agent-bus communication.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/artosetrov/iron-fist-arena-backend --skill cdo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cdo
Source: https://github.com/artosetrov/iron-fist-arena-backend/tree/main/.claude/skills/cdo
Command: npx skills add https://github.com/artosetrov/iron-fist-arena-backend --skill cdo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CDO provides a safe, structured way to orchestrate multiple AI agents to complete complex tasks that require delegation, parallel execution, and cross-system coordination. It prevents uncoordinated agent runs and ensures results are produced only when explicitly requested by the user and allowed by the environment.

Core Features & Use Cases

  • Agent orchestration: classify tasks into a pipeline of agents (e.g., guardian, oracle, nexus, screen) and run them in the correct order with support for parallel waves.
  • Agent bus communication: agents read and write results from a shared bus (.claude/agent-bus) and can escalate issues via @mentions to trigger additional waves.
  • Phase-based pipelines: supports SEQUENTIAL, PARALLEL, and HYBRID modes with clear gate checks and deployment-ready templates.
  • Safeguards and escalation: built-in blocks for blockers, safety prompts, and escalation when tasks fall outside an agent’s competence.

Quick Start

Enable CDO only when the user explicitly requests orchestration or parallel agent work and the environment allows subagents.

Frequently Asked Questions about cdo

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

FAQPage Schema
How do I coordinate multi-agent workflows safely?

Multi-agent workflows are coordinated safely by classifying tasks into a structured pipeline of agents that run in defined phases with built-in safety prompts, gate checks, and escalation blocks to prevent uncoordinated execution.

Can I run parallel agent waves and have them share results?

Parallel agent waves are supported in HYBRID and PARALLEL modes, allowing agents to read and write results from a shared agent bus and escalate issues via @mentions to trigger additional execution waves.

What is the best way to orchestrate AI agents for complex task delegation?

Orchestrating AI agents for delegation is best handled by classifying tasks into a sequential or hybrid pipeline, deploying specialized agents like guardians and oracles, and synthesizing final results from their combined outputs.

Do I need an environment that permits subagents to use multi-agent orchestration?

Yes, an environment that explicitly permits subagents is required to enable multi-agent orchestration, and orchestration should only be activated when a user explicitly requests delegation or parallel agent work.

How does an agent bus handle communication during pipeline execution?

An agent bus handles communication by allowing agents to write results to a shared directory and read outputs from others, escalating blockers via @mentions to trigger additional waves if issues arise during execution.

When should I not use multi-agent orchestration pipelines?

Multi-agent orchestration pipelines should not be used without explicit user prompts for delegation, and built-in safeguards will block execution if tasks fall outside an agent's competence or safe operating constraints.