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Ai Team Orchestration

  • 1 installs
  • 37.5k repo stars
  • Updated August 5, 2026
  • github/awesome-copilot

ai-team-orchestration skill documents Bootstrap and run a multi-agent AI development team.

About

ai-team-orchestration skill documents 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 sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.. name: ai-team-orchestration description: '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 sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.'

  • Bootstrap and run a multi-agent AI development team.
  • Required sections (do not abbreviate):
  • Platform-specific setup patterns for ai-team-orchestration.
  • Evidence-backed steps from upstream SKILL.md.
  • When-to-use criteria for ai-team-orchestration versus alternatives.

Ai Team Orchestration by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #1,980 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

ai-team-orchestration capabilities & compatibility

Capabilities
ai team orchestration quick start · ai team orchestration when to use guidance · ai team orchestration integration patterns
From the docs

What ai-team-orchestration says it does

Starting a new project that needs planning, development, testing, and deployment
SKILL.md
Setting up parallel AI agent teams (dev, QA, DevOps)
SKILL.md
npx skills add https://github.com/github/awesome-copilot --skill ai-team-orchestration

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Listed on Skillselion
Installs1
repo stars37.5k
Last updatedAugust 5, 2026
Repositorygithub/awesome-copilot

How do I use ai-team-orchestration correctly?

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 sprint plans, writing brainstorm prompts with

Who is it for?

Teams implementing ai-team-orchestration workflows from the catalog.

Skip if: Skip when requirements clearly match a different specialized stack.

When should I use this skill?

User asks about ai-team-orchestration, bootstrap and run a multi-agent ai development team. use when: starting a new software pro.

What you get

Working ai-team-orchestration setup with validated configuration and next steps.

Files

SKILL.mdMarkdownGitHub ↗

AI Team Orchestration

When to Use

  • Starting a new project that needs planning, development, testing, and deployment
  • Setting up parallel AI agent teams (dev, QA, DevOps)
  • Writing brainstorm prompts that produce real debate (not generic output)
  • Creating sprint plans with cross-chat context survival
  • Recovering from context overflow mid-sprint

Team Roles

AgentNameRoleFocus
ProducerRemySprint planning, coordination, merging PRsScope control, handoffs, issue triage
Product DesignerKiraUX, mechanics, user experienceFun factor, user flows, feature design
Visual/Art DirectorMiloCSS, animations, visual identityDesign system, polish, accessibility
Frontend EngineerNovaUI framework, state management, componentsReact/Vue/Svelte, client-side logic
Backend EngineerSageAPI, database, auth, securityServer-side logic, infrastructure
DevOps EngineerDashCI/CD, cloud deployment, pipelinesGitHub Actions, Azure/AWS/GCP
QA EngineerIvyE2E tests, automation, playtestingPlaywright/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 <repo> project-dev    # Dev team
git clone <repo> project-qa     # QA
git clone <repo> 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): 1. Project Overview 2. Concept / Product Description 3. Tech Stack 4. Architecture (ASCII diagram) 5. Key Files Map 6. Team Roles 7. Sprint Status (updated every sprint) 8. Current State (rewritten every sprint) 9. Security Rules 10. How to Run Locally 11. How to Deploy 12. Cross-Chat Handoff Protocol — how context survives between chats 13. Bug & Fix Tracking — GitHub Issues as single source of truth 14. 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:

  • 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: 1. Update docs/sprint-N/progress.md with current status 2. Update PROJECT_BRIEF.md sections 7+8 3. 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'tDo Instead
Rebase feature branchesMerge (rebase loses commits)
Producer writes codeProducer only plans, merges, files issues
Batch "fix everything" commitsOne commit per fix with issue reference
Vague brainstorm promptsName each agent with distinct perspective
Keep bugs only in chatFile GitHub Issues (chat context dies)

Tips for Better Results

  • "Take your time, do it right" in prompts produces better output than rushing
  • Test before merge — you playtest, file issues, dev fixes, then merge
  • Run team consiliums before major sprints — each agent reviews the plan from their perspective
  • Save lessons to memory after every milestone

Related skills

FAQ

What does ai-team-orchestration do?

ai-team-orchestration skill documents Bootstrap and run a multi-agent AI development team.

When should I use ai-team-orchestration?

User asks about ai-team-orchestration, bootstrap and run a multi-agent ai development team. use when: starting a new software pro.

Is this skill safe to install?

Review the Security Audits panel on this page before installing in production.

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