
ai-team-orchestration
✓ Official★ 36,200by github · part of github/awesome-copilot
Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating…
Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating…
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by github
Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating…
npx skills add https://github.com/github/awesome-copilot --skill ai-team-orchestration
Download ZIPGitHub36.2k
AI Team Orchestration
When to Use
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Starting a new project that needs planning, development, testing, and deployment
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Setting up parallel AI agent teams (dev, QA, DevOps)
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Writing brainstorm prompts that produce real debate (not generic output)
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Creating sprint plans with cross-chat context survival
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Recovering from context overflow mid-sprint
Team Roles
Agent Name Role Focus Producer Remy Sprint planning, coordination, merging PRs Scope control, handoffs, issue triage Product Designer Kira UX, mechanics, user experience Fun factor, user flows, feature design Visual/Art Director Milo CSS, animations, visual identity Design system, polish, accessibility Frontend Engineer Nova UI framework, state management, components React/Vue/Svelte, client-side logic Backend Engineer Sage API, database, auth, security Server-side logic, infrastructure DevOps Engineer Dash CI/CD, cloud deployment, pipelines GitHub Actions, Azure/AWS/GCP QA Engineer Ivy E2E tests, automation, playtesting Playwright/Cypress, bug filing, sign-off
Customize names and roles for your project. Not every project needs all roles.
Chat Architecture
The human (CEO) is the message bus between parallel chats:
┌────────────────────────────────────────┐
│ @ai-team-producer — Plans, merges │
│ NEVER writes code │
└────────────────┬───────────────────────┘
│ Human carries messages
┌──────────┼──────────┐
▼ ▼ ▼
┌──────────┐ ┌────────┐ ┌────────┐
│@ai-team │ │@ai-team│ │DevOps │
│-dev │ │-qa │ │(on │
│ │ │ │ │demand) │
│ Nova │ │ Ivy │ │ │
│ Sage │ │ │ │ │
│ Milo │ │ │ │ │
│ │ │feature/│ │feature/│
│ feature/ │ │qa-N │ │devops-N│
│ sprint-N │ └────────┘ └────────┘
└──────────┘
Each team works in a separate VS Code window with its own clone:
git clone project-dev # Dev team
git clone project-qa # QA
git clone project-devops # DevOps (only when needed)
Project Bootstrap
1. Create PROJECT_BRIEF.md
The single source of truth across all chats. See the project brief template.
Required sections (do not abbreviate):
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Project Overview
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Concept / Product Description
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Tech Stack
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Architecture (ASCII diagram)
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Key Files Map
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Team Roles
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Sprint Status (updated every sprint)
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Current State (rewritten every sprint)
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Security Rules
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How to Run Locally
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How to Deploy
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Cross-Chat Handoff Protocol — how context survives between chats
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Bug & Fix Tracking — GitHub Issues as single source of truth
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Multi-Repo Setup — separate clones, branch strategy, merge rules
2. Run a Brainstorm
See the brainstorm format. Key: name each agent explicitly with distinct personality and perspective. Require at least 2 genuine disagreements to prevent groupthink.
3. Create Sprint Plans
See the sprint plan template. Every sprint gets:
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docs/sprint-N/plan.md— prioritized tasks, success criteria -
docs/sprint-N/progress.md— live tracker, enables recovery -
docs/sprint-N/done.md— handoff doc written at sprint end
4. Execute Sprints
Read PROJECT_BRIEF.md, then read docs/sprint-N/plan.md. Execute Sprint N.
First: git pull origin main && git checkout -b feature/sprint-N
Close GitHub Issues in commits: "fix: description (Fixes #NN)"
Update docs/sprint-N/progress.md after each phase.
When done, push and create PR: git push origin feature/sprint-N
Follow Sections 12-14 of PROJECT_BRIEF.md.
5. QA Sign-off
After dev merges, QA does a full playthrough:
Read PROJECT_BRIEF.md. You are Ivy (QA).
Sprint N is merged to main. Do full playthrough.
File bugs as GitHub Issues. Write docs/qa/sprint-N-signoff.md.
Context Recovery
When a chat gets long (>100 messages), save state and start fresh:
Before closing:
-
Update
docs/sprint-N/progress.mdwith current status -
Update
PROJECT_BRIEF.mdsections 7+8 -
Write
docs/sprint-N/done.md
Cold start prompt:
Read PROJECT_BRIEF.md and docs/sprint-N/progress.md.
Continue from where it left off.
Anti-Patterns
See anti-patterns reference for the full list. Top 5:
Don't Do Instead Rebase feature branches Merge (rebase loses commits) Producer writes code Producer only plans, merges, files issues Batch "fix everything" commits One commit per fix with issue reference Vague brainstorm prompts Name each agent with distinct perspective Keep bugs only in chat File GitHub Issues (chat context dies)
Tips for Better Results
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"Take your time, do it right" in prompts produces better output than rushing
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Test before merge — you playtest, file issues, dev fixes, then merge
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Run team consiliums before major sprints — each agent reviews the plan from their perspective
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Save lessons to memory after every milestone
npx skills add https://github.com/github/awesome-copilot --skill ai-team-orchestrationRun this in your project — your agent picks the skill up automatically.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.