team

Coordinate parallel worker agents in tmux for multi-step task execution.

2|Updated May 3, 2026
One-click install
npx skills add https://github.com/JustineDevs/roblox-ai-os --skill team-justinedevs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/JustineDevs/roblox-ai-os/tree/main/plugins/roblox-ai-os-creator-skills/skills/team
Command: npx skills add https://github.com/JustineDevs/roblox-ai-os --skill team-justinedevs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of managing complex, multi-step projects that require parallel execution, stateful coordination, and long-running tasks that must persist beyond a single AI reasoning burst.

Core Features & Use Cases

  • Parallel Crew Execution: Launches multiple worker CLI sessions in tmux panes to handle independent tasks simultaneously.
  • Stateful Coordination: Maintains a shared task list, mailbox, and lifecycle state across all worker agents.
  • Use Case: Use this when you need to debug a large codebase where one agent handles regression testing, another performs code analysis, and a third implements the fix, all while maintaining a synchronized project state.

Quick Start

Launch a team of three executor agents to analyze the current feature and report any flaws.

Frequently Asked Questions about team

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

FAQPage Schema
How do I run parallel AI agents in tmux for complex codebase tasks?

You can coordinate parallel AI agents in tmux by launching multiple worker CLI sessions in separate panes. This approach manages complex workflows requiring shared state, mailbox-based communication, and long-running parallel processes for large-scale projects.

When do I need stateful coordination for multi-step task execution?

Stateful coordination is needed when complex, multi-step projects require parallel execution and long-running tasks that must persist beyond a single AI reasoning burst. It maintains a shared task list, mailbox, and lifecycle state across all worker agents.

What is the best way to orchestrate independent tasks across multiple AI workers?

The best way to orchestrate independent tasks is using parallel crew execution, which launches multiple worker CLI sessions in tmux panes. This handles independent tasks simultaneously while implementing robust lifecycle control and task dispatching.

Does parallel agent orchestration support mailbox-based communication between workers?

Yes, parallel agent orchestration supports mailbox-based communication. It manages complex workflows requiring shared state and mailbox-based communication across all worker agents within a tmux-based runtime environment.

Can I use automated verification lanes for large-scale development projects?

Yes, you can use automated verification lanes for large-scale development projects. The orchestration implements robust lifecycle control, task dispatching, and automated verification lanes within its tmux-based runtime environment.