team

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

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/gtpgg1013/claude-skills-collection --skill team-gtpgg1013
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/gtpgg1013/claude-skills-collection/tree/main/skills/agents/team
Command: npx skills add https://github.com/gtpgg1013/claude-skills-collection --skill team-gtpgg1013

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates N agents on a shared task list, enabling parallel execution and coordinated progress using a tmux-based workflow, reducing manual coordination overhead.

Core Features & Use Cases

  • Parallel agent execution: Spawns and coordinates multiple Codex/Claude sessions to work on subtasks simultaneously.
  • Centralized task coordination: Maintains a shared task list and state files under .omx/state/team to track progress.
  • Robust lifecycle management: Handles startup, progress monitoring, and clean shutdown with evidence-based validation.
  • Use Case: When you need to accelerate a complex feature by distributing work across several agents and ensuring synchronized progress and clean handoffs.

Quick Start

Launch a coordinated team with omx team to run parallel workers on the shared task and monitor their progress

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 to work on a shared task list in parallel?

You can coordinate parallel agents on a shared task list using tmux-based orchestration, which spawns multiple sessions to execute subtasks concurrently while maintaining synchronized progress through centralized state files.

What is tmux-based multi-agent orchestration and how does it handle worker synchronization?

Tmux-based multi-agent orchestration coordinates concurrent workers by managing a shared task list and per-worker state files, ensuring agents report progress and hand off results to a leader without losing synchronization during parallel execution.

Do I need the OMX runtime to run parallel agent execution workflows?

Yes, parallel agent execution requires the OMX runtime to manage the tmux orchestration, handle startup, monitor progress, and execute clean shutdowns with evidence-based validation for coordinated workstreams.

How to start a coordinated team of agents for concurrent software development?

Start a coordinated team by launching the omx team command, which spawns parallel workers on a shared task and monitors their progress through lifecycle controls and per-worker inboxes under .omx/state/team.

Can I use tmux orchestration to manage multiple Codex or Claude sessions simultaneously?

Yes, tmux orchestration spawns and coordinates multiple Codex or Claude sessions to work on subtasks simultaneously, ensuring synchronized progress and clean handoffs back to a leader agent.

What are the limitations of running parallel workstreams with shared task coordination?

Parallel workstream coordination requires strict lifecycle controls for clean shutdown and relies on per-worker inbox and state files under .omx/state/team, meaning agents must follow structured handoff protocols to avoid desynchronization.