agent-team-orchestration
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Best use case
agent-team-orchestration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Teams using agent-team-orchestration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-team-orchestration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-team-orchestration Compares
| Feature / Agent | agent-team-orchestration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Agent Team Orchestration Production playbook for running multi-agent teams with clear roles, structured task flow, and quality gates. ## Quick Start: Minimal 2-Agent Team A builder and a reviewer. The simplest useful team. ### 1. Define Roles ``` Orchestrator (you) — Route tasks, track state, report results Builder agent — Execute work, produce artifacts ``` ### 2. Spawn a Task ``` 1. Create task record (file, DB, or task board) 2. Spawn builder with: - Task ID and description - Output path for artifacts - Handoff instructions (what to produce, where to put it) 3. On completion: review artifacts, mark done, report ``` ### 3. Add a Reviewer ``` Builder produces artifact → Reviewer checks it → Orchestrator ships or returns ``` That's the core loop. Everything below scales this pattern. ## Core Concepts ### Roles Every agent has one primary role. Overlap causes confusion. | Role | Purpose | Model guidance | |------|---------|---------------| | **Orchestrator** | Route work, track state, make priority calls | High-reasoning model (handles judgment) | | **Builder** | Produce artifacts — code, docs, configs | Can use cost-effective models for mechanical work | | **Reviewer** | Verify quality, push back on gaps | High-reasoning model (catches what builders miss) | | **Ops** | Cron jobs, standups, health checks, dispatching | Cheapest model that's reliable | → *Read [references/team-setup.md](references/team-setup.md) when defining a new team or adding agents.* ### Task States Every task moves through a defined lifecycle: ``` Inbox → Assigned → In Progress → Review → Done | Failed ``` **Rules:** - Orchestrator owns state transitions — don't rely on agents to update their own status - Every transition gets a comment (who, what, why) - Failed is a valid end state — capture why and move on → *Read [references/task-lifecycle.md](references/task-lifecycle.md) when designing task flows or debugging stuck tasks.* ### Handoffs When work passes between agents, the handoff message includes: 1. **What was done** — summary of changes/output 2. **Where artifacts are** — exact file paths 3. **How to verify** — test commands or acceptance criteria 4. **Known issues** — anything incomplete or risky 5. **What's next** — clear next action for the receiving agent Bad handoff: *"Done, check the files."* Good handoff: *"Built auth module at `/shared/artifacts/auth/`. Run `npm test auth` to verify. Known issue: rate limiting not implemented yet. Next: reviewer checks error handling edge cases."* ### Reviews Cross-role reviews prevent quality drift: - **Builders review specs** — "Is this feasible? What's missing?" - **Reviewers check builds** — "Does this match the spec? Edge cases?" - **Orchestrator reviews priorities** — "Is this the right work right now?" Skip the review step and quality degrades within 3-5 tasks. Every time. → *Read [references/communication.md](references/communication.md) when setting up agent communication channels.* → *Read [references/patterns.md](references/patterns.md) for proven multi-step workflows.* ## Reference Files | File | Read when... | |------|-------------| | [team-setup.md](references/team-setup.md) | Defining agents, roles, models, workspaces | | [task-lifecycle.md](references/task-lifecycle.md) | Designing task states, transitions, comments | | [communication.md](references/communication.md) | Setting up async/sync communication, artifact paths | | [patterns.md](references/patterns.md) | Implementing specific workflows (spec→build→test, parallel research, escalation) | ## Common Pitfalls ### Spawning without clear artifact output paths Agent produces great work, but you can't find it. Always specify the exact output path in the spawn prompt. Use a shared artifacts directory with predictable structure. ### No review step = quality drift "It's a small change, skip review." Do this three times and you have compounding errors. Every artifact gets at least one set of eyes that didn't produce it. ### Agents not commenting on task progress Silent agents create coordination blind spots. Require comments at: start, blocker, handoff, completion. If an agent goes silent, assume it's stuck. ### Not verifying agent capabilities before assigning Assigning browser-based testing to an agent without browser access. Assigning image work to a text-only model. Check capabilities before routing. ### Orchestrator doing execution work The orchestrator routes and tracks — it doesn't build. The moment you start "just quickly doing this one thing," you've lost oversight of the rest of the team. ## When NOT to Use This Skill - **Single-agent setups** — Just follow standard AGENTS.md conventions. Team orchestration adds overhead that solo agents don't need. - **One-off task delegation** — Use `sessions_spawn` directly. This skill is for sustained workflows with multiple handoffs. - **Simple question routing** — If you're just forwarding a question to a specialist, that's a message, not a workflow. This skill is for **sustained team workflows** — recurring collaboration patterns where agents depend on each other's output over multiple tasks.
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