A production-ready framework for orchestrating multi-agent teams with defined roles, task lifecycles, and automated review workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-team-orchestration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-team-orchestration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Team Orchestration?
The Agent Team Orchestration skill provides a structured methodology for managing complex workflows involving two or more AI agents. By implementing defined roles such as Orchestrators, Builders, and Reviewers, this skill ensures that task transitions are seamless and output quality remains high. It is a critical component for developers looking to scale their AI operations using Openclaw Skills to handle sophisticated, multi-step projects that exceed the capacity of a single agent.
At its core, this skill focuses on the lifecycle of a task from inception to completion. It provides clear protocols for handoffs, ensuring that every agent knows exactly what was done, where artifacts are located, and how to verify the work. By using these Openclaw Skills, teams can avoid common pitfalls like quality drift and communication gaps, creating a reliable and repeatable production environment for autonomous agents.
Agent Team Orchestration Use Cases
- Setting up a specialized team of two or more agents with distinct roles like coding and QA.
- Defining a structured task routing system from inbox through specification and build to final review.
- Establishing formal handoff protocols between different agents to ensure continuity and context.
- Implementing quality gates and review cycles to prevent compounding errors in long-running projects.
- Managing asynchronous communication and artifact sharing across a distributed agent team.
How Agent Team Orchestration Works
- Define Roles: Establish the primary function of each agent in the team, such as the Orchestrator for routing and the Builder for execution.
- Initialize Task Record: Create a centralized record (file or database) to track the task state and ID.
- Spawn Builder: Use the Orchestrator to assign the task to a Builder agent with specific output paths and handoff instructions.
- Execute and Produce: The Builder generates code, documentation, or configurations and stores them in a shared directory.
- Handoff and Review: The work is passed to a Reviewer agent who verifies the output against the original specification.
- Update State: The Orchestrator monitors the lifecycle and transitions the task to its final state (Done or Failed) based on the review outcome.
Agent Team Orchestration Setup
To implement these Openclaw Skills, start by defining your team roles in a configuration file. You can initialize a minimal 2-agent team by following these steps:
# 1. Define your Orchestrator and Builder roles
# 2. Create a shared artifacts directory
mkdir -p ./shared/artifacts
# 3. Spawn a task with defined output paths
sessions_spawn --role builder --prompt "Build auth module at ./shared/artifacts/auth/"
Refer to the internal reference files like team-setup.md and task-lifecycle.md to customize the model selection and transition rules for your specific environment.
Agent Team Orchestration Data Schema & Taxonomy
The orchestration framework organizes data through a structured lifecycle and role hierarchy. Below is the standard state taxonomy used in Openclaw Skills:
| State | Description | Owner |
|---|---|---|
| Inbox | New tasks awaiting assignment | Orchestrator |
| Assigned | Task assigned to a specific agent | Orchestrator |
| In Progress | Work is currently being executed | Builder |
| Review | Artifacts are being verified | Reviewer |
| Done | Task successfully completed | Orchestrator |
| Failed | Task stopped with error capture | Orchestrator |
Artifacts are stored in a shared directory with predictable paths, and every state transition is documented with a mandatory comment identifying the actor and the rationale.
Agent Team Orchestration Advanced Features
- Multi-role support allowing for complex hierarchies involving Ops agents for health checks and status reporting.
- Specialized workflow patterns such as parallel research tracks and escalation protocols for blocked tasks.
- Rigorous review gates that ensure quality doesn't degrade over multi-task sessions.
- Automated handoff messages containing verification commands, known issues, and clear next actions.
- Integration with high-reasoning models for orchestration and cost-effective models for mechanical builder tasks within the same Openclaw Skills workflow.
SKILL.md
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