Stats
Actions
Tags
From ai-maestro-orchestrator-agent
Coordinates remote AI agents via AI Maestro messaging (AMP). Delegates tasks, monitors progress, and enforces verification loops before PR approval.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-maestro-orchestrator-agent:amoa-remote-agent-coordinatoramoa-mainThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Delegates tasks to remote AI agents via AI Maestro messaging.
README.mdreferences/agent-communication-templates.mdreferences/agent-management-commands.mdreferences/agent-management-scripts.mdreferences/agent-management-troubleshooting.mdreferences/agent-onboarding.mdreferences/agent-registration-commands.mdreferences/agent-registration.mdreferences/agent-response-templates.mdreferences/agent-types.mdreferences/amcos-replacement-protocol.mdreferences/artifact-sharing-protocol.mdreferences/assignment-workflow.mdreferences/blocker-report-templates.mdreferences/bug-reporting-protocol-part1-reporting-and-classification.mdreferences/bug-reporting-protocol-part1-schema-severity.mdreferences/bug-reporting-protocol-part2-handling-and-resolution.mdreferences/bug-reporting-protocol-part2-response-escalation.mdreferences/bug-reporting-protocol-part3-error-states.mdreferences/bug-reporting-protocol-part4-verification-troubleshooting.mdDelegates tasks to remote AI agents via AI Maestro messaging.
AI Maestro (AMP) running, Python 3.9+, registered agents.
Copy this checklist and track your progress:
ACK confirmations, progress reports, verification results, PR decisions.
Input: Delegate "fix auth bug #42" to libs-auth-agent
Output: Task sent, ACK received, 4 loops done, PR approved.
See error-handling-protocol.md.
Skill-authoring guidance (consulted when scaffolding skill/agent documents for the remote agents this skill coordinates):
npx claudepluginhub emasoft/ai-maestro-orchestrator-agentEnforces orchestrator boundaries: prohibits implementation, enforces immutable requirements, and validates delegation patterns. Guardrail checklists for rule violation detection.
Coordinates multiple AI agents through a single orchestrator: decomposes tasks, routes to specialists, prevents duplication, and enforces quality gates with heartbeat monitoring.
Provides protocols, templates, and rules for constructing subagent delegation prompts with context chains, protocol injection, and downstream declarations in agent orchestration.