team

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

2|2|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/chrisxue90/oh-my-qwencode --skill team-chrisxue90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/chrisxue90/oh-my-qwencode/tree/main/skills/team
Command: npx skills add https://github.com/chrisxue90/oh-my-qwencode --skill team-chrisxue90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate multiple agents on a shared task list using tmux-based orchestration.

Core Features & Use Cases

  • Orchestrates multiple workers (Qwen Code or Claude) in split tmux panes to execute tasks from a centralized .omq/state/team structure.
  • Maintains durable team state, leader/mailbox interactions, and per-worker inboxes to coordinate progress and results.
  • Supports operator workflows and explicit lifecycle control for reliable, auditable collaboration.

Quick Start

Start a coordinated team run with omq team to launch worker panes and initialize the shared task state.

Frequently Asked Questions about team

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

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

Coordinate multiple Claude CLI agents by using tmux-based orchestration to execute tasks from a centralized .omq/state/team structure, maintaining durable team state and per-worker inboxes for reliable parallel execution.

Can I run Qwen Code workers in parallel using tmux split panes?

Yes, you can run Qwen Code workers in parallel by launching them in split tmux panes. The orchestration initializes shared task state and manages lifecycle control for each worker operating concurrently.

How do agents communicate with each other during parallel execution?

Agents communicate during parallel execution through mailbox-based interactions and per-worker inboxes. This centralized state structure under .omq/state/team coordinates progress and routes results between the leader and active workers.

What is the best way to manage durable team state for concurrent AI workers?

Manage durable team state for concurrent AI workers by applying centralized lifecycle orchestration. This approach maintains auditable collaboration through explicit mailbox interactions and a shared task list structure.

How do I start a coordinated team run with multiple AI workers?

Start a coordinated team run by executing the omq team command. This launches the worker panes in tmux and initializes the shared task state required for orchestrating multiple agents simultaneously.

Does tmux orchestration support explicit lifecycle control for AI agent teams?

Yes, tmux orchestration supports explicit lifecycle control for AI agent teams. It provides operator workflows and centralized state management to ensure reliable, auditable collaboration across concurrent workers.