Ai Team Orchestration logo

Ai Team Orchestration

OrganizationPopular
github
ai-team-orchestration

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.

Overview

Publishergithub
Repositoryawesome-copilot
Skill nameai-team-orchestration
Stars
39.1K
Forks
5K
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by github on GitHub. Read the source before you install it.

Installation

Install the Ai Team Orchestration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p .claude/skills
cp -r /tmp/awesome-copilot/skills/ai-team-orchestration .claude/skills/ai-team-orchestration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Team Orchestration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Team Orchestration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Team Orchestration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI Team Orchestration

Use three stable agents:

AgentPurpose
@ai-team-producerClarify scope, plan proportionately, coordinate, and merge
@ai-team-devImplement, test, self-review, and prepare the pull request
@ai-team-qaIndependently 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:
text
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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ai Team Orchestration AI skill do?

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.

Why use Ai Team Orchestration on TypingMind?

Because you install it once and use it with any model. Ai Team Orchestration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Team Orchestration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/github/awesome-copilot/tree/main/skills/ai-team-orchestration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ai Team Orchestration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Team Orchestration?

As many as you like. As long as a model supports skills, you can use Ai Team Orchestration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Team Orchestration AI skill free?

Yes. It is published on GitHub by github under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇