By emasoft
Orchestrate multi-agent AI workflows in AI Maestro: decompose dev goals into prioritized GitHub tasks, assign to agents by skills/availability, monitor progress via kanban boards and polling, enforce 4-loop verifications, handle handoffs/escalations, and integrate via automated PRs.
npx claudepluginhub emasoft/ai-maestro-orchestrator-agentAdd 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
Modify a module's specifications during Orchestration Phase
Display Orchestration Phase progress - module completion, assignments, verification status
Start orchestrator loop - monitors tasks across Claude Tasks, GitHub, task files
Check orchestrator loop status and pending tasks
Change a module's priority level
Reassign GitHub Project kanban tasks from one agent to another
Reassign a module to a different agent
Register a remote agent (AI or human) for module assignment
Remove a pending module from Orchestration Phase (only if not started)
Enter Orchestration Phase - begin coordinating remote agents for implementation
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.
Coordinates multiple developer agents working in parallel on features using GitHub Projects and AI Maestro messaging for task management and team coordination. 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
GitHub Projects V2 kanban board management. Use when creating boards, adding columns, moving items. Trigger with kanban or column requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when applying GitHub labels. Trigger with label query or assignment requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when sending inter-agent messages. Trigger with task assignment, status report, or escalation needs. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when adding, modifying, removing, prioritizing, or reassigning modules. Trigger with module CRUD requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when managing modules during Orchestration Phase. Trigger with module add, modify, or reassign requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when syncing modules with GitHub Issues or troubleshooting module state. Trigger with sync, issue, or module troubleshooting requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when running orchestration phase commands. Trigger with start, monitor, or cancel orchestration requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when enforcing orchestrator boundaries, rules, and delegation patterns. Trigger with guardrail, rule, or boundary requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when running the orchestrator loop or managing stop hook behavior. Trigger with loop, stop hook, or state file requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when breaking down tasks for human developers. Trigger with task decomposition requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when running Plan Phase of two-phase mode. Trigger with planning, requirements, or plan approval requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when monitoring agent progress. Trigger with status check or stall detection requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when coordinating remote AI agents via AI Maestro messaging. NOT for human coordination. Trigger with agent delegation or multi-agent requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when distributing tasks. Trigger with task assignment requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when running Plan-then-Execute workflows. Trigger with plan-execute or two-phase requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Use when verifying implementations. Trigger with verification, testing, or evidence requests. Loaded by ai-maestro-orchestrator-agent-main-agent
Skills for AI agent orchestration - memory search, code graph queries, documentation search, inter-agent messaging, and task planning
Multi-agent orchestrator — supervisor loop that launches agents to implement plans
Multi-agent coordination with agent-swarm MCP
Agent-optimized development orchestrator with parallel task execution and workflow enforcement
Delegation system with workflow orchestration, specialized agents, and parallel execution for Claude Code
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
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