team

Coordinate AI agents on a shared task list via tmux-based orchestration.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/byonk19-svg/rt-scheduler --skill team-byonk19-svg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/byonk19-svg/rt-scheduler/tree/main/.codex/skills/team
Command: npx skills add https://github.com/byonk19-svg/rt-scheduler --skill team-byonk19-svg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate and manage multiple AI agents operating on a single task list using a tmux-based orchestration layer, enabling parallel execution, coordinated state updates, and reliable lifecycle management.

Core Features & Use Cases

  • Parallel agent orchestration: spawn Codex and Claude workers in split panes and coordinate via a shared state directory.
  • Durable workflow state: drive lifecycle through .omx/state/team/... files with mailbox-based messaging between leader and workers.
  • Operator-centric controls: supports startup, status checks, task assignment, and clean shutdown with watchdog-style nudges.

Quick Start

Start a team run with omx team to spawn worker panes and begin coordinating tasks.

Frequently Asked Questions about team

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

FAQPage Schema
How do I coordinate multiple AI agents on a shared task list?

To coordinate multiple AI agents on a shared task list, you can use a tmux-based orchestrator that spawns parallel workers in split panes and manages state updates via a shared directory.

What is tmux-based orchestration for parallel AI workflows?

Tmux-based orchestration is a mechanism that manages parallel AI agent execution by splitting terminal panes for individual workers while maintaining durable workflow state and mailbox messaging.

How do I start a multi-agent team run with tmux?

To start a multi-agent team run with tmux, execute the omx team command which spawns worker panes and begins coordinating tasks across the configured AI agents.

Can I use Codex and Claude workers in the same orchestration workflow?

Yes, you can spawn Codex and Claude workers in the same orchestration workflow, coordinating them via a shared state directory to execute tasks on a single list.

How does durable state management work for AI agent orchestration?

Durable state management for AI agent orchestration drives lifecycle control through .omx/state/team/ files, enabling mailbox-based messaging between leader and workers to preserve task progress.

What are the limitations of using tmux for AI agent lifecycle control?

Tmux-based lifecycle control relies on operator-centric steps and watchdog nudges for clean shutdowns, meaning it requires manual lifecycle management rather than fully autonomous process recovery.