By Emasoft
Coordinate multi-agent AI orchestration for software projects: distribute tasks across local and remote agents via GitHub and AI Maestro messaging, manage kanban boards, monitor progress, handle handoffs, and enforce verification loops before PR completion.
Add a new module during Orchestration Phase (dynamic flexibility)
Assign a module to a registered agent with Instruction Verification Protocol
Cancel active orchestrator loop
Poll all active remote agents for progress with MANDATORY questions
Generate a comprehensive handoff document for a replacement agent
Orchestrator main agent - task distribution, kanban management, agent coordination. Requires AI Maestro installed.
Compiles verification checklists from requirements and specifications. Requires AI Maestro installed.
Manages Docker containers for cross-platform development and isolated testing. Requires AI Maestro installed.
Experimental validation agent - the ONLY local agent authorized to write code. Requires AI Maestro installed.
Summarizes verbose task outputs into minimal reports for orchestrator consumption. Requires AI Maestro installed.
Use when replacing agents. Trigger with agent replacement or handoff requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when compiling verification checklists from requirements. Trigger with checklist or verification requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when communicating with human developers in code reviews and issues. Trigger with PR review or status update requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Trigger with Claude Code action requests. Use when setting up Claude Code in GitHub Actions for automated PR reviews, @claude mention responses, and issue triage. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when verifying implementer readiness. Trigger with interview or PR approval requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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Version: 1.6.0
The Orchestrator Agent handles task distribution, agent coordination, and progress monitoring for multi-agent projects. It receives plans and coordinates subagents to implement them via AI Maestro inter-agent messaging.
pip install pyyaml)gh) for issue and project management| Agent | Description |
|---|---|
ai-maestro-orchestrator-agent-main-agent | Main orchestrator — delegates to sub-agents |
amoa-team-orchestrator | Coordinates team of remote agents |
amoa-task-summarizer | Summarizes task progress and state |
amoa-checklist-compiler | Creates verification checklists |
amoa-docker-container-expert | Docker and container expertise |
amoa-experimenter | Experimentation and prototyping |
| Command | Description |
|---|---|
/amoa-start-orchestration | Start orchestration phase |
/amoa-orchestrator-loop | Start orchestration loop |
/amoa-orchestration-status | Show orchestration phase status (modules/agents) |
/amoa-orchestrator-status | Show orchestrator loop status (iterations/tasks) |
/amoa-cancel-orchestrator | Cancel orchestration |
/amoa-register-agent | Register remote agent |
/amoa-check-agents | Check agent status and poll progress |
/amoa-assign-module | Assign module to agent |
/amoa-reassign-module | Reassign module to different agent |
/amoa-add-module | Add new module |
/amoa-modify-module | Modify existing module |
/amoa-remove-module | Remove module |
/amoa-prioritize-module | Change module priority |
/amoa-reassign-kanban-tasks | Reassign kanban board tasks |
/amoa-generate-replacement-handoff | Generate agent replacement handoff document |
| Skill | Description |
|---|---|
amoa-two-phase-mode | Plan-then-Execute workflows with formal approval |
amoa-orchestration-commands | Orchestration command reference and loop mechanics |
amoa-orchestration-patterns | Task breakdown patterns for human developers |
amoa-remote-agent-coordinator | Remote AI agent coordination via AI Maestro |
amoa-module-management | Module CRUD operations (1:1 with GitHub Issues) |
amoa-verification-patterns | Implementation verification and evidence collection |
amoa-developer-communication | Developer communication patterns and templates |
amoa-checklist-compilation-patterns | Verification checklist generation |
amoa-agent-replacement | Agent replacement and handoff protocols |
amoa-task-distribution | Task breakdown, assignment, and load balancing |
amoa-progress-monitoring | Progress tracking via state-based polling |
amoa-messaging-templates | AI Maestro message format templates |
amoa-label-taxonomy | GitHub label system for multi-agent coordination |
amoa-implementer-interview-protocol | Interview-based task verification |
amoa-github-action-integration | GitHub Actions CI/CD patterns |
amoa-kanban-management | GitHub Projects V2 kanban board management |
| Hook | Event | Description |
|---|---|---|
amoa-orchestrator-stop | Stop | Blocks exit until all tasks complete (120s timeout) |
amoa-instruction-verification-check | PreToolUse | Blocks agent work if verification incomplete |
amoa-polling-reminder | UserPromptSubmit | Reminds to poll agent progress |
amoa-file-tracker | PostToolUse | Tracks Edit/Write file modifications |
ai-maestro-orchestrator-agent/
├── .claude-plugin/ # Plugin manifest (plugin.json)
├── agents/ # Agent definitions (6 agents)
├── commands/ # Slash command definitions (15 commands)
├── docs/ # Architecture docs (role boundaries, workflow, registry)
├── git-hooks/ # Git hooks (pre-push validation)
├── hooks/ # Plugin hooks (hooks.json + 4 hook scripts)
├── scripts/ # Python scripts (56 scripts + validation suite)
│ └── amoa_stop_check/ # Stop hook package (lock, tasks, phase checks)
├── shared/ # Shared resources across skills
├── skills/ # Skill definitions (16 skills with references)
├── tests/ # Test suite
└── requirements.txt # Python dependencies (PyYAML)
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