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amoa-orchestration-commands

Coordinate orchestration phase commands to start, monitor, run, and cancel multi-agent loops.

13|Updated Mar 2, 2026
Search Tags:#github#verification#multi-agent#orchestration#ai-maestro#stop-hook#loop-monitoring
One-click install
npx skills add https://github.com/Emasoft/ai-maestro-orchestrator-agent --skill amoa-orchestration-commands
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: amoa-orchestration-commands
Source: https://github.com/Emasoft/ai-maestro-orchestrator-agent/tree/main/skills/amoa-orchestration-commands
Command: npx skills add https://github.com/Emasoft/ai-maestro-orchestrator-agent --skill amoa-orchestration-commands

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides clear operational guidance and command-driven controls to start, monitor, and safely stop the orchestration phase that coordinates multi-agent implementation work, preventing premature exits and ensuring verification before completion.

Core Features & Use Cases

  • Commands reference for starting orchestration, checking orchestration and orchestrator loop status, running the orchestrator loop, and cancelling the loop.
  • Stop-hook enforcement and verification protocol that blocks exit until all task sources are clear or a valid completion signal is emitted.
  • Integration guidance for GitHub Projects synchronization, agent registration and assignment workflows, iteration counting, and recovery steps for corrupted or stale state/lock files.
  • Includes detailed reference documents for troubleshooting, cancellation and cleanup, loop mechanics, state-file formats, and script invocation practices.

Quick Start

Start the orchestration phase, register agents, assign the first module, and begin loop monitoring by asking the system to "Start orchestration with project ID PVT_kwDOB1234567 and register implementer-1 as an AI agent."

Frequently Asked Questions about amoa-orchestration-commands

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I start orchestration for multi-agent project execution?▼

Start orchestration by issuing a command to register agents and assign the first module to begin loop monitoring. You need a Python 3.8+ environment and CLI access to GitHub to initialize the AI Maestro-driven workflow.

Why does my orchestration loop exit prematurely before all tasks are clear?▼

Premature exits in orchestration loops are blocked by a stop-hook enforcement and verification protocol. This mechanism ensures the loop continues running until all task sources are clear or a valid completion signal is explicitly emitted.

Can I synchronize orchestration task files directly with GitHub Projects boards?▼

Yes, orchestration commands support GitHub Project synchronization to update task files and project boards. The integration manages agent registration, assignment workflows, and iteration counting across Claude Tasks.

How do I cancel an active orchestrator loop safely?▼

Cancel an active orchestrator loop using the specific cancellation command provided in the reference documents. This triggers cleanup protocols and updates state files like design/state/loop.md to safely halt execution.

How do I recover corrupted or stale state and lock files during orchestration?▼

Recover corrupted state or lock files by following the troubleshooting and cleanup steps in the reference documents. The recovery process clears stale locks and resets design/state/exec-phase.md to restore stateful control.

Do I need Python 3.8+ and the gh CLI to run continuous orchestrator loops?▼

Yes, running continuous orchestrator loops requires a Python 3.8+ environment and CLI access to GitHub via gh. These prerequisites allow the plugin scripts to read and update design state files for multi-agent coordination.

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