From ai-maestro-orchestrator-agent
Provides JSON templates for inter-agent messaging in AI Maestro, for task assignment, status reports, approvals, and escalations. Triggered by coordination needs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-maestro-orchestrator-agent:amoa-messaging-templatesamoa-mainThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Reusable JSON message templates for agent coordination, task assignment, status reporting, and escalation.
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.mdReusable JSON message templates for agent coordination, task assignment, status reporting, and escalation.
agent-messaging skill and wait for responseCopy this checklist and track your progress:
agent-messaging skillStandard JSON message structure with from, to, subject, priority, and content fields. See: references/message-format.md
JSON templates: references/message-templates.md
Curl templates: references/ai-maestro-message-templates.md
On failure, retry once then escalate per references/escalation-protocol.md
See also: references/error-handling-quickref.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"}
JSON messages, API confirmations with message_id, and markdown delegation log entries.
npx claudepluginhub emasoft/ai-maestro-orchestrator-agentUse when dispatching subagents, composing prompts for teammates, structuring handoff reports, or managing context boundaries between agents. Covers both subagent prompts and team-level messaging.
Registers agents, sends and receives threaded messages, and discovers agents via MCP Agent Mail server. Enables multi-agent coordination within projects.
Coordinates remote AI agents via AI Maestro messaging (AMP). Delegates tasks, monitors progress, and enforces verification loops before PR approval.