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Weihong-Liu
Weihong-LiuCOMMUNITY
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team

Coordinate parallel agent execution on shared task lists via tmux.

6|Updated Apr 26, 2026
Search Tags:#parallel processing#parallel execution#tmux#agent coordination#shared state
One-click install
npx skills add https://github.com/Weihong-Liu/GenericAgent_project --skill team-weihong-liu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/Weihong-Liu/GenericAgent_project/tree/main/.codex/skills/team
Command: npx skills add https://github.com/Weihong-Liu/GenericAgent_project --skill team-weihong-liu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tmux, omx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of coordinating multiple agents working on shared tasks, leveraging tmux-based orchestration for efficient parallel execution.

Core Features & Use Cases

  • Parallel Execution: Launch and coordinate multiple agents simultaneously, working on tasks in parallel.
  • Shared Task State: Maintain shared state across all agents for coordinated workflow.
  • Use Case: Ideal for complex tasks that require multiple agents to work together, such as large-scale data analysis or system integration.

Quick Start

Start a team of agents to analyze feature X and report flaws using the team skill.

Frequently Asked Questions about team

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

FAQPage Schema
How do I coordinate parallel execution of multiple AI agents on shared tasks?▼

You can coordinate parallel execution of multiple AI agents by using tmux-based orchestration to launch simultaneous sessions in split panes, maintaining shared state across all agents for synchronized workflow.

Can I use tmux to run Codex and Claude CLI sessions together for parallel processing?▼

Yes, tmux supports running Codex and Claude CLI sessions together in split panes, enabling parallel processing where multiple agents can work on shared task lists simultaneously with coordinated state management.

What is tmux-based agent coordination and how does shared state management work?▼

Tmux-based agent coordination uses split panes to execute multiple CLI sessions in parallel, while shared state management persists coordination data to .omx/state/team/... files, ensuring all agents track task progress consistently.

Do I need tmux and omx installed to run parallel agent sessions?▼

Yes, both tmux and omx are required dependencies to run parallel agent sessions, as tmux provides the split pane orchestration environment and omx supplies the runtime and CLI interop needed for state management.

When should I use parallel agent orchestration instead of a single agent session?▼

Parallel agent orchestration is ideal for complex tasks requiring multiple agents to work together, such as large-scale data analysis or system integration, where splitting tasks across simultaneous sessions reduces execution time.

What are the limitations of using tmux split panes for shared state agent coordination?▼

Limitations of tmux split panes for shared state agent coordination include dependency on the tmux environment and omx runtime, requiring both to be properly configured for CLI interop and .omx/state file synchronization to function correctly.

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