ai-team-orchestration — GitHub Copilot skill: setup and usage
Bootstraps a lightweight multi-agent team inside your editor. It helps plan features, coordinate code changes, and preserve context across chat sessions.
npx skills add github/awesome-copilot --skill ai-team-orchestrationWhat ai-team-orchestration does
The skill organizes work across three stable roles. @ai-team-producer clarifies scope and coordinates merging. @ai-team-dev implements code, runs tests, and prepares the pull request. @ai-team-qa verifies behavior when dedicated testing is necessary. Inside the dev agent, Nova, Sage, and Milo act as distinct analytical perspectives rather than mandatory project layers.
Work stays proportional to task size. Small fixes skip formal planning. For larger tasks, the skill introduces PROJECT_BRIEF.md and sprint plans to track decisions. Bundled agents omit hardcoded tools and model configurations. Because of this, developers keep full control over model selection and MCP tooling.
Blockers and next actions are saved directly in repository files before ending a session. This setup pays off when you need structured handoffs, but it adds unnecessary ceremony to quick one-off edits.
What it helps with
- coordinate scope, coding, and testing through distinct agents
- preserve project context across disconnected chat sessions
- bootstrap architecture notes using
PROJECT_BRIEF.md - brainstorm technical trade-offs using competing perspectives
Example prompts for the agent
- @ai-team-producer draft a concise plan for the checkout workflow
- @ai-team-dev implement the smallest complete solution and inspect diff
- Read the repository instructions, PROJECT_BRIEF.md, and continue from the recorded next action
How to install ai-team-orchestration
1Skills CLI (Vercel)
npx skills add github/awesome-copilot --skill ai-team-orchestration2GitHub CLI
gh skill install github/awesome-copilot ai-team-orchestration3Manually: put the files in place
.github/skills/ai-team-orchestration/SKILL.md1Skills CLI (Vercel)
npx skills add github/awesome-copilot --skill ai-team-orchestration -a claude-code2Manually: put the files in place
~/.claude/skills/ai-team-orchestration/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/ai-team-orchestration/
Manually: put the files in place
.agents/skills/ai-team-orchestration/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/ai-team-orchestration/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
Platform CLI
gemini skills install https://github.com/github/awesome-copilot --path skills/ai-team-orchestrationManually: put the files in place
.devin/skills/ai-team-orchestration/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set554
The whole set →Similar
Questions about ai-team-orchestration
How to install ai-team-orchestration in GitHub Copilot?
Run npx skills add github/awesome-copilot --skill ai-team-orchestration or gh skill install github/awesome-copilot ai-team-orchestration. You can also add the file directly at .github/skills/ai-team-orchestration/SKILL.md.
What does ai-team-orchestration do?
It orchestrates producer, developer, and QA roles to plan, implement, and verify code changes according to repository policies.
Which models or MCP tools are required?
The skill intentionally omits model and tools frontmatter. You retain control over model choices, editor extensions, and active MCP servers.
Source text
SKILL.md · MIT
--- name: ai-team-orchestration description: '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.' --- # 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](./references/project-brief-template.md) and omit irrelevant sections. 4. For substantial work, create a concise plan from the [sprint plan template](./references/sprint-plan-template.md). 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](./references/brainstorm-format.md) 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](./references/anti-patterns.md) for concise lessons.
© github · MIT · github/awesome-copilot