team

Coordinate N worker agents executing tasks in isolated git worktrees with back-pressure control.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Jurel89/copilot-omni --skill team-jurel89
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/Jurel89/copilot-omni/tree/main/skills/team
Command: npx skills add https://github.com/Jurel89/copilot-omni --skill team-jurel89

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of coordinating multiple workers on a shared goal, streamlining collaboration and ensuring efficient execution.

Core Features & Use Cases

  • Multi-Agent Orchestration: Manages N workers executing tasks in parallel, enhancing productivity.
  • Isolated Worktrees: Each worker operates in its own git worktree, maintaining branch isolation.
  • Back-Pressure Control: Ensures resource management by limiting the number of concurrent workers.
  • Use Case: Ideal for parallel development tasks like fixing bugs, refactoring code, or conducting security audits across a large codebase.

Quick Start

Run the 'team' skill with the desired number of workers and task description, e.g., /copilot-omni:team 4 "implement responsive layouts for all pages"

Frequently Asked Questions about team

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

FAQPage Schema
How do I orchestrate multiple agents for parallel codebase tasks?

Multi-agent orchestration coordinates N workers executing tasks in parallel, streamlining collaboration and ensuring efficient execution across shared development goals like refactoring or fixing bugs.

What is the best way to manage parallel development tasks without branch conflicts?

Parallel development tasks are managed by assigning each worker an isolated git worktree, maintaining branch isolation to prevent conflicts while multiple workers operate on the same codebase simultaneously.

How does back-pressure control help with workload management for multiple workers?

Back-pressure control ensures resource management by limiting the number of concurrent workers, preventing system overload and maintaining efficient execution during multi-agent task dispatch.

Can I use Python scripts for multi-agent task decomposition and worker dispatch?

Yes, multi-agent task decomposition and worker dispatch require Python scripts to break down tasks, distribute workloads across N workers, and collect the final execution results.

Does team orchestration work for conducting security audits across a large codebase?

Team orchestration is ideal for conducting security audits across a large codebase, utilizing parallel worker agents to efficiently scan and analyze isolated worktrees simultaneously.

Do I need git worktrees to run parallel workers on a shared task?

Git worktrees are required to provide isolated execution environments for each worker, ensuring that parallel modifications to shared tasks do not interfere with each other's branches.