team

Manage multiple AI agent sessions in tmux for shared workflows.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/zhaozengqing4364-bit/sales-training-qoder --skill team-zhaozengqing4364-bit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/zhaozengqing4364-bit/sales-training-qoder/tree/main/.codex/skills/team
Command: npx skills add https://github.com/zhaozengqing4364-bit/sales-training-qoder --skill team-zhaozengqing4364-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates the management and coordination of multiple AI worker sessions for complex, shared-tasks workflows, reducing manual overhead and increasing reliability.

Core Features & Use Cases

  • Parallel Task Execution: Launch and supervise multiple Codex or Claude CLI sessions simultaneously within tmux panes.
  • Stateful Coordination: Maintain shared task state, mailbox communications, and lifecycle control across long-running, multi-agent workflows.
  • Use Case: A team managing a large code review process can coordinate diverse AI agents to analyze different modules concurrently, ensuring comprehensive and efficient review.

Quick Start

Invoke the team skill to start and coordinate AI worker sessions for a shared collaborative task.

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 for parallel execution?

To coordinate multiple AI agents for parallel execution, you can manage multiple Codex or Claude CLI sessions simultaneously within tmux panes, enabling robust process supervision and shared workflow management.

What is stateful orchestration for multi-agent workflows?

Stateful orchestration is the process of maintaining shared task state, mailbox communications, and lifecycle control across long-running, multi-agent AI workflows to ensure reliable coordination and parallel task execution.

How do I manage parallel code review using AI agents in tmux?

Managing parallel code review with AI agents in tmux involves launching multiple sessions to analyze different modules concurrently, which ensures comprehensive and efficient review through shared task state and environment control.

Can I run long-term AI tasks with tmux coordination?

Yes, you can run long-term AI tasks with tmux coordination by maintaining shared task state and providing lifecycle control, which automates the management of multiple AI worker sessions for complex workflows.

Do I need tmux to manage multiple Claude CLI sessions?

Yes, tmux is required to manage multiple Claude CLI sessions as it provides the environment control and pane management necessary for robust process supervision and parallel execution of AI agents.