🤖
AI EngineeringPython

AI Team Orchestration

by github

AI Team Orchestration is an AI Engineering skill for Claude Code, published by github in awesome-copilot.

37.8K stars4.8K forkson github/awesome-copilotAdded 2026/08/13Repository updated 2026/08/13
agent-skillsagentsaiawesomecustom-agentsgithub-copilothacktoberfestprompt-engineering
Install in seconds
Install AI Team Orchestration
Copy AI Team Orchestration into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/github/awesome-copilot/tree/main/skills/ai-team-orchestration ~/.claude/skills/ai-team-orchestration

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/github/awesome-copilot.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/ai-team-orchestration/SKILL.md in github/awesome-copilot
Installs to
~/.claude/skills/ai-team-orchestration
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What AI Team Orchestration does

AI Team Orchestration bootstraps and runs a lightweight multi-agent development team with producer, developer, and optional QA roles. Use it for project planning, implementation, independent testing, brainstorming, and preserving context across sessions.

AI Team Orchestration is cataloged under AI Engineering on DirSkills. AI Team Orchestration comes from a repository tagged agent-skills, agents, ai, awesome and custom-agents.

Documentation

README

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:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AI Team Orchestration

  • What else does github publish alongside AI Team Orchestration?

    AI Team Orchestration is one of 25 skills that DirSkills catalogs from github/awesome-copilot, the repository it ships in. Its siblings there include AI Prompt Engineering Safety Review, AI Readiness Assessment and AI Ready. Each one is a separate skill with its own page in this directory, installs the same way AI Team Orchestration does, and is maintained by github in that same repository. The rest of the collection is listed on the github/awesome-copilot page.

  • How does AI Team Orchestration compare to other AI Engineering skills?

    AI Team Orchestration ranks #153 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AI Team Orchestration against them. Open each page to compare what they document and how they install.

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