通过定义的角色、任务生命周期、移交协议和审核工作流程来协调多代理团队。在以下情况下使用:(1) 建立由 2 个以上具有不同专业知识的代理组成的团队,(2) 定义任务路由和生命周期(收件箱 → 规范 → 构建 → 审查 → 完成),(3) 创建之间的切换协议
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install agent-team-orchestration或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install agent-team-orchestration⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/agent-team-orchestration/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: agent-team-orchestration description: "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." ---
Production playbook for running multi-agent teams with clear roles, structured task flow, and quality gates.
A builder and a reviewer. The simplest useful team.
Orchestrator (you) — Route tasks, track state, report results
Builder agent — Execute work, produce artifacts
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
Builder produces artifact → Reviewer checks it → Orchestrator ships or returns
That's the core loop. Everything below scales this pattern.
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 when defining a new team or adding agents.
Every task moves through a defined lifecycle:
Inbox → Assigned → In Progress → Review → Done | Failed
Rules:
→ Read references/task-lifecycle.md when designing task flows or debugging stuck tasks.
When work passes between agents, the handoff message includes:
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."
Cross-role reviews prevent quality drift:
Skip the review step and quality degrades within 3-5 tasks. Every time.
→ Read references/communication.md when setting up agent communication channels. → Read references/patterns.md for proven multi-step workflows.
| File | Read when... | |------|-------------| | team-setup.md | Defining agents, roles, models, workspaces | | task-lifecycle.md | Designing task states, transitions, comments | | communication.md | Setting up async/sync communication, artifact paths | | patterns.md | Implementing specific workflows (spec→build→test, parallel research, escalation) |
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.
"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.
Silent agents create coordination blind spots. Require comments at: start, blocker, handoff, completion. If an agent goes silent, assume it's stuck.
Assigning browser-based testing to an agent without browser access. Assigning image work to a text-only model. Check capabilities before routing.
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.
sessions_spawn directly. This skill is for sustained workflows with multiple handoffs.This skill is for sustained team workflows — recurring collaboration patterns where agents depend on each other's output over multiple tasks.
安装 代理团队编排 后,可以对 AI 说这些话来触发它
Help me get started with Agent Team Orchestration
Explains what Agent Team Orchestration does, walks through the setup, and runs a quick demo based on your current project
Use Agent Team Orchestration to orchestrate multi-agent teams with defined roles, task lifecycles, ...
Invokes Agent Team Orchestration with the right parameters and returns the result directly in the conversation
What can I do with Agent Team Orchestration in my ai agent & automation workflow?
Lists the top use cases for Agent Team Orchestration, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/agent-team-orchestration/ 目录(个人级,所有项目可用),或 .claude/skills/agent-team-orchestration/(项目级)。重启 AI 客户端后,用 /agent-team-orchestration 主动调用,或让 AI 根据上下文自动发现并使用。
代理团队编排 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
代理团队编排 可免费安装使用。请查阅仓库了解许可证信息。
通过定义的角色、任务生命周期、移交协议和审核工作流程来协调多代理团队。在以下情况下使用:(1) 建立由 2 个以上具有不同专业知识的代理组成的团队,(2) 定义任务路由和生命周期(收件箱 → 规范 → 构建 → 审查 → 完成),(3) 创建之间的切换协议
代理团队编排 属于「AI Agent & Automation」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my ai agent & automation tasks using Agent Team Orchestration
Identifies repetitive steps in your workflow and sets up Agent Team Orchestration to handle them automatically