Skill

amoa-messaging-templates

Provides JSON templates for inter-agent messaging in AI Maestro, for task assignment, status reports, approvals, and escalations. Triggered by coordination needs.

ai-ml

automation

npx claudepluginhub emasoft/ai-maestro-orchestrator-agent

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Reusable JSON message templates for agent coordination, task assignment, status reporting, and escalation.

Supporting Assets

references/ai-maestro-message-templates.mdreferences/amcos-response-templates.mdreferences/conflict-resolution.mdreferences/cross-plugin-protocol.mdreferences/error-handling-quickref.mdreferences/escalation-protocol.mdreferences/examples.mdreferences/message-format.mdreferences/message-templates.mdreferences/op-check-inbox.mdreferences/op-receive-integration-result.mdreferences/op-send-integration-request.mdreferences/op-send-message.mdreferences/record-keeping.mdreferences/resource-request-templates.mdreferences/session-lifecycle-templates.mdreferences/task-lifecycle-templates.md

SKILL.md

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ai-maestro-orchestrator-agent

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Last CommitApr 3, 2026

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AMOA Shared Communication Templates

Overview

Reusable JSON message templates for agent coordination, task assignment, status reporting, and escalation.

Prerequisites

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

Instructions

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

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, API confirmations with message_id, and markdown delegation log entries.

Resources

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