AMOA Shared Communication Templates

Message templates and protocols for agent coordination, task assignment, status reporting, and escalation.

Overview

Reusable JSON message templates for inter-agent communication.

Prerequisites

1. AI Maestro messaging system (AMP) running
2. Understanding of ai-maestro agent roles (AMOA, AMCOS, AMIA, AMAMA)
3. Access to AI Maestro API; read amoa-label-taxonomy for GitHub label usage

Instructions

1. Identify the communication scenario (task assignment, status report, approval, escalation)
2. Select the appropriate template from section 2 reference files
3. Fill in template fields with task-specific values
4. Send via agent-messaging skill and wait for response
5. Log the exchange in the delegation log

Copy this checklist and track your progress:

• Identify communication scenario (task assignment, status report, approval, escalation)
• Select the appropriate template from section 2
• Fill in template fields and send via agent-messaging skill
• Wait for response and log the exchange in the delegation log

1. AI Maestro Message Format

Standard JSON message structure with from, to, subject, priority, and content fields. See: references/message-format.md

2. Message Templates by Scenario

JSON templates: references/message-templates.md

Curl templates: references/ai-maestro-message-templates.md

Error Handling

On failure, retry once then escalate per references/escalation-protocol.md

Error resolution and scenario mapping: references/error-handling-quickref.md

Examples

See: references/examples.md

Input: Send task assignment to agent via agent-messaging skill with scenario=task_assignment, to=agent-name, subject="Run tests" Output: {"status":"sent","message_id":"msg-12345"}

Output

JSON messages (task/status/approval), API confirmations with message_id, message history arrays, and markdown delegation log entries.

Resources

• AGENT_OPERATIONS.md, amoa-label-taxonomy, amoa-task-distribution, amoa-progress-monitoring