orchestrator

Coordinate AI agents across NoteCove workflows with tmux-managed sessions.

Updated Apr 25, 2026
One-click install
npx skills add https://github.com/gara2000/agentmesh --skill orchestrator-gara2000
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/gara2000/agentmesh/tree/main/plugins/agentic-workflows/skills/orchestrator
Command: npx skills add https://github.com/gara2000/agentmesh --skill orchestrator-gara2000

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The orchestrator coordinates worker agents to pick up Ready tasks from NoteCove, route attention requests to the user, and manage worker lifecycles via tmux, reducing manual coordination.

Core Features & Use Cases

  • Automated task dispatch across brainstormer, planner, and worker agents based on task analysis.
  • Event-driven attention handling and multi-stage workflow orchestration with NoteCove and tmux.
  • End-to-end lifecycle management of tasks from Ready to Done, with task notes and user prompts for decision points.
  • Use Case: Orchestrate a complex AI-assisted project by coordinating ideation, planning, and implementation with user reviews.

Quick Start

Start the orchestrator with --project <PROJECT> to bootstrap the agent workflow.

Frequently Asked Questions about orchestrator

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

FAQPage Schema
How do I coordinate multiple AI agents to manage a multi-stage workflow?

Multi-stage workflow orchestration coordinates brainstormer, planner, and worker agents to execute tasks from ideation to implementation. It routes attention requests to the user and manages worker lifecycles via tmux, automating task dispatch across NoteCove states.

Can I use tmux to manage concurrent AI agent sessions for task execution?

Yes, tmux manages concurrent AI agent sessions by handling worker lifecycles safely. The orchestrator coordinates with tmux-managed sessions to enforce safe concurrency and deterministic event loops while agents pick up Ready tasks from NoteCove.

What is event-driven attention handling in AI agent task management?

Event-driven attention handling routes decision points and user prompts during task execution. It enforces state transitions and uses a deterministic event loop to coordinate user reviews across multi-stage workflows involving brainstorming, planning, and implementation.

How do I start orchestrating an AI-assisted project with NoteCove?

Start orchestrating an AI-assisted project by running the orchestrator with the --project flag to bootstrap the agent workflow. It dispatches Ready tasks from NoteCove to appropriate worker agents and manages the full lifecycle from Ready to Done.

Does this workflow orchestration tool require specific task states for execution?

Yes, workflow orchestration requires NoteCove task states to manage the lifecycle from Ready to Done. It enforces state transitions and dispatches tasks based on task analysis, routing attention requests to the user for decision points during multi-stage execution.

When should I use a deterministic event loop for AI agent coordination?

Use a deterministic event loop for AI agent coordination when managing complex multi-stage workflows with user reviews. It ensures safe concurrency, enforces state transitions, and handles event-driven attention prompts across tmux-managed worker sessions in NoteCove.