A production-grade framework for managing multi-agent teams through structured roles, task lifecycles, and rigorous handoff protocols.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-team-orchestration-bak
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-bak 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?
Agent Team Orchestration is a specialized framework designed for complex environments where a single AI agent isn't enough. It provides a robust playbook for running teams of two or more agents, ensuring that specializations are respected and work is verified through structured quality gates. By implementing this skill within Openclaw Skills, developers can move away from chaotic, unstructured agent interactions toward a disciplined, professional-grade production environment.
The skill focuses on the core loop of task routing, execution by builder agents, and validation by reviewer agents. It establishes a clear separation of concerns, ensuring that high-reasoning models handle judgment and orchestration while cost-effective models handle mechanical execution. This approach prevents quality drift and ensures that every artifact produced is verified and documented according to a predictable lifecycle.
Agent Team Orchestration Use Cases
- Setting up a team of 2+ agents with distinct specializations such as building and reviewing.
- Defining complex task routing and lifecycles that move from inbox to specification, build, review, and completion.
- Creating standardized handoff protocols to ensure context and artifact paths are never lost between agents.
- Establishing quality gates and review workflows to maintain high standards over long-running projects.
- Managing asynchronous communication and shared artifact directories between multiple autonomous agents.
How Agent Team Orchestration Works
- Define specific roles for each agent (Orchestrator, Builder, Reviewer, or Ops) to prevent overlap and confusion.
- Initialize a task record within a file, database, or task board to track the state transition from Inbox to Done.
- The Orchestrator spawns a Builder agent with a specific Task ID, description, and required output paths for artifacts.
- Upon completion, the Builder performs a handoff, providing a summary of changes and exact file locations.
- A Reviewer agent verifies the artifacts against the original specification and provides feedback or approval.
- The Orchestrator updates the final task state and reports the results back to the system.
Agent Team Orchestration Setup
To implement Agent Team Orchestration in your environment, follow these configuration steps:
- Create a shared directory for artifacts to ensure all agents have a predictable location for file exchange.
- Configure your Orchestrator with a high-reasoning model and your Builders with cost-optimized models.
- Ensure your agents have the necessary capabilities (e.g., file system access or browser access) before routing tasks.
# Example directory structure for orchestration
mkdir -p project/tasks project/artifacts/builds project/artifacts/reviews
# Initialize your task tracker
touch project/tasks/task_board.md
Agent Team Orchestration Data Schema & Taxonomy
The orchestration skill organizes data through a strict hierarchy of states and communication templates:
| Data Type | Description | Key Components |
|---|---|---|
| Task States | The lifecycle of work | Inbox, Assigned, In Progress, Review, Done, Failed |
| Handoff Record | Context for the next agent | Work summary, Artifact paths, Verification commands, Known issues |
| Role Definition | Agent specialization | Orchestrator (Reasoning), Builder (Execution), Reviewer (Verification) |
| Transition Log | Audit trail | Timestamp, transitioning agent, rationale for state change |
Agent Team Orchestration Advanced Features
- Multi-agent support for specialized parallel research and escalation workflows.
- Formalized quality gates that prevent task completion until a cross-role review is successfully passed.
- Custom task state transitions and automated commenting requirements to eliminate coordination blind spots.
- Structured artifact sharing protocols using predictable metadata and file system taxonomies.
- Support for Ops agents to handle health checks, standups, and recurring cron job triggers within the Openclaw Skills ecosystem.
SKILL.md
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