CAO Supervisor Protocols
SkillAI & modelsOnce added, your AI can act as a supervisor in the CLI Agent Orchestrator (CAO) and coordinate work across other agents. The skill provides supervisor-side patterns for assigning tasks, handing off work, and delivering items through idle inboxes. That gives your AI a ready way to orchestrate multi-agent work.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, ask your AI to assign a task or hand off work in a CAO session. The source lives in the awslabs CLI Agent Orchestrator repository on GitHub if you want to look closer.
Then ask your AI: use the CAO Supervisor Protocols skill
What your AI can do with it
- Assign tasks to other agents
- Hand off work between agents
- Deliver work through idle inboxes
- Coordinate multi-agent work from a supervisor position
- Apply consistent patterns for assign, handoff, and delivery
What this skill tells your AI
The instructions your AI receives, as published by awslabs/cli-agent-orchestrator in skills/cao-supervisor-protocols/SKILL.md and read by ahel’s review.
Use this skill when supervising worker agents through CLI Agent Orchestrator.
This skill covers how supervisors should dispatch work, decide between assign and handoff, and receive worker results without blocking inbox delivery.
Core MCP Tools
From cao-mcp-server, supervisors orchestrate work with:
assign(agent_profile, message)for asynchronous work that returns immediatelyhandoff(agent_profile, message)for synchronous work that blocks until the worker finishessend_message(message, receiver_id=None)for direct messages —receiver_iddefaults to the terminal that created yours via handoff/assignanswer_user_prompt(terminal_id, answer)for answering a Hermes worker that reportswaiting_user_answer
Your own terminal ID is available in the CAO_TERMINAL_ID environment variable. CAO appends it to assigned task messages and records it on worker terminals automatically, so you rarely need to handle it yourself.
Choosing Between Assign and Handoff
Use assign when the worker should continue independently and report back later. This is the normal pattern for fan-out work or parallel execution.
Use handoff when the next step is blocked on the worker result. The orchestrator waits for completion, captures the worker output, and returns it directly to the supervisor.
Typical pattern:
- Use
assignfor analysis, research, or code changes that can run in parallel. - Use
handofffor report generation, blocking review steps, or any task where you need the result before you can continue.
Idle-Based Message Delivery
Assigned workers usually return results through send_message. Those inbox messages are delivered to the supervisor automatically when the supervisor terminal becomes idle.
This means supervisors should:
- Dispatch all planned worker tasks first
- Finish the turn after dispatching work
- Avoid running placeholder shell commands just to wait
Do not keep the terminal busy with sleep, echo, or similar commands while waiting. A busy terminal delays inbox delivery.
If you need multiple worker results, dispatch them all first, then end the turn. Do not poll manually in a loop.
Callback Pattern
By default, CAO appends your terminal ID and callback instructions to every assigned message automatically, and records your terminal as the worker's caller — workers can reply with send_message without a receiver_id. You do not need to hand-write callback instructions.
You may still include an explicit callback ID in the task message for emphasis:
Analyze dataset A. Send results back to terminal abc123 using send_message.
If your deployment disables the automatic suffix (CAO_ENABLE_SENDER_ID_INJECTION=false), the explicit pattern above is required: the structural caller record still works, but the worker gets no in-message reminder.
Direct Supervisor Communication
Use send_message when you need to contact an existing terminal directly rather than spawning a new worker.
Examples:
- Relay follow-up instructions to a worker you already created.
- Forward a worker result to another coordinator terminal.
- Send a concise status update to a collaborating supervisor.
When sending direct messages, include enough context that the receiver can act without re-reading the full original task.
Interactive Worker Prompts
Hermes workers can stop on approval prompts or clarify pickers and report waiting_user_answer. When a Hermes worker is in that state, do not use assign, handoff, or send_message to answer it. Use answer_user_prompt(terminal_id, answer) with the exact selection or text to submit, such as 1, o, or a custom answer.
Other providers may still emit prompts in their terminal output without reporting waiting_user_answer. For those providers, treat the prompt as ordinary terminal output and answer it with send_message or direct input according to the workflow you are running.
Practical Workflow
- Dispatch asynchronous workers with
assign— callback routing is automatic (your terminal ID is appended to the message and recorded as the worker's caller). - Use
handoffonly for steps that must finish before you can continue. - End the turn so asynchronous worker messages can be delivered.
- When messages arrive, synthesize the results and continue the workflow.
Reliability Guidelines
- Tell workers exactly what deliverable they should return.
- When workers create files, ask them to return absolute paths in their callback message.
- Do not assume results will be delivered while your terminal is still busy.
- Keep orchestration instructions separate from domain requirements so workers can parse both cleanly.
Signals
- GitHub stars
- 1k
- Forks
- 266
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
cao-supervisor-protocols- Source
- github.com/awslabs/cli-agent-orchestrator