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Agents40k · #4992

ai-team-orchestration

Lets your agent organize and manage an AI team for development. It's useful for starting projects, planning tasks, and ensuring everyone works together coordinately.

What it does

This tool helps organize an artificial intelligence team to work on a project. It defines clear roles for each AI agent (producer, developer, tester) and manages the workflow from planning to delivery.

When to use it

  • ✓When starting a new software project.
  • ✓When planning and coordinating development tasks.
  • ✓When needing different perspectives to solve a problem.

Example of what to ask your AI

“Organize an AI team to create a new to-do list app, starting with planning.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/github/awesome-copilot/blob/main/skills/ai-team-orchestration/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/github/awesome-copilot/blob/main/skills/ai-team-orchestration/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool uses specialized AI agents: one for planning and coordinating, another for coding and testing, and a third for quality assurance. They follow a defined workflow to deliver the work.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add github/awesome-copilot --skill ai-team-orchestration

Or download just the file:

curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ai-team-orchestration/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

AI Team Orchestration

Use three stable agents:

Agent Purpose
@ai-team-producer Clarify scope, plan proportionately, coordinate, and merge
@ai-team-dev Implement, test, self-review, and prepare the pull request
@ai-team-qa Independently test behavior when dedicated QA is useful

Nova, Sage, and Milo are perspectives inside the Dev agent, not mandatory project layers.

Default Workflow

Plan -> Implement -> Test -> optional review or QA -> Merge -> update project state

Keep the workflow proportional:

  • Skip formal planning for small, obvious changes.
  • Use a short plan for multi-step or cross-cutting work.
  • Add independent review or QA when risk, uncertainty, or repository policy justifies it.
  • Let branch protection, required checks, permissions, and merge queues enforce repository merge policy.

Start or Adopt a Project

  1. Read existing repository instructions and documentation.
  2. Discover the actual stack, architecture, commands, deployment model, and risks.
  3. Create or update PROJECT_BRIEF.md only when durable cross-session context is useful. Start from the project brief template and omit irrelevant sections.
  4. For substantial work, create a concise plan from the sprint plan template.
  5. Use a separate branch or clone when parallel sessions could conflict, following the repository's own Git policy.

Execute

Producer

  • Define the outcome, constraints, acceptance criteria, and explicit exclusions.
  • Choose review and QA based on risk rather than ceremony.
  • Keep durable project state concise and current.

Dev

  • Follow repository conventions and implement the smallest complete solution.
  • Run relevant checks and inspect the final diff.
  • Open or update the pull request with summary, verification, and limitations.

QA

  • Use only when dedicated behavioral verification adds value.
  • Test the requested change and important regressions.
  • Report reproducible findings and verify fixes.

Brainstorms

Use the brainstorm format for product or architecture decisions that benefit from competing perspectives. For ordinary implementation choices, let Dev decide using repository conventions.

Context Recovery

Before ending a long or interrupted session:

  1. Update the active plan or progress note if one exists.
  2. Record material decisions, blockers, and the next action in repository context.
  3. Use a cold-start prompt such as:
Read the repository instructions, then read whichever sources exist for this
work: the active issue or request, PROJECT_BRIEF.md, and the active plan or
progress note.
Continue from the recorded next action.

Tool and Model Inheritance

The bundled agents intentionally omit tools and model frontmatter:

  • available built-in, MCP, and extension tools remain usable;
  • developers keep control of model selection;
  • role boundaries are defined by instructions and normal trust, permission, authentication, and approval controls.

If the environment exposes too many tools, deselect irrelevant tools or MCP servers, or use VS Code virtual-tool management. Do not add a machine-specific plugin allowlist.

Principles

  • Prefer working software and clear handoffs over process artifacts.
  • Follow repository policy instead of embedding universal Git commands.
  • Preserve unknown work and ask before destructive or privileged actions.
  • Keep bugs and important decisions in durable project systems, not only chat.
  • See anti-patterns for concise lessons.
FAQ

What are the `@ai-team-producer`, `@ai-team-dev`, and `@ai-team-qa` agents?

These are the AI team members. The producer defines the scope and coordinates, the developer implements and tests, and the tester verifies the behavior.

What is `PROJECT_BRIEF.md`?

It's a document that summarizes the project, useful for maintaining context across different work sessions.

How does the tool handle small projects?

For simple tasks, it can skip formal planning steps, focusing on direct execution.

Details

Original description by the author

Bootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implementation and optional QA, brainstorming with distinct perspectives, or preserving context across sessions.

repo: github/awesome-copilot

Popularity

GitHub stars
40k
Ranking position
#4992
License
MIT
Updated
10/15/2026

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