A production-ready framework for managing multi-agent teams with defined roles, structured 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 modesty-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 modesty-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?
Agent Team Orchestration is a comprehensive production playbook designed to manage complex multi-agent teams. It provides the architectural foundation for running teams of two or more agents with specialized roles, ensuring that task routing, state management, and quality assurance are handled systematically. By implementing these Openclaw Skills, developers can transition from simple one-off prompts to sophisticated, collaborative agentic workflows that scale effectively.
The core of the skill revolves around clear role differentiation—such as Orchestrators, Builders, and Reviewers—and a strictly defined task lifecycle. It prevents common pitfalls like quality drift and communication silos by enforcing structured handoff protocols and mandatory review gates, making it an essential tool for any sustained agentic operation.
Agent Team Orchestration Use Cases
- Orchestrating a team of specialized agents for complex software development tasks.
- Defining standardized task routing and lifecycle management from inbox to completion.
- Establishing formal handoff protocols and shared artifact directories between agents.
- Implementing quality gates and review workflows to maintain high output standards.
- Managing asynchronous communication and coordination across multiple AI agents.
How Agent Team Orchestration Works
- Define distinct roles like Orchestrator, Builder, and Reviewer to prevent functional overlap and model confusion.
- Create a task record in a file or database to initialize the lifecycle within the inbox state.
- Spawn the Builder agent with a specific Task ID, output path for artifacts, and detailed handoff instructions.
- Route produced artifacts to a Reviewer agent for verification against the original specification.
- Update the task state through defined transitions (Assigned, In Progress, Review) until final delivery or documented failure.
Agent Team Orchestration Setup
To get started with these Openclaw Skills, ensure your environment is configured for multi-agent spawns and shared artifact storage. Configuration is handled through the SkillBoss API Hub, utilizing the pilot endpoint for automated model routing.
# Ensure your orchestrator has access to the following endpoint for routing
# POST https://api.skillboss.hub/v1/pilot
# Define your team structure in a team-setup.md file
# Initialize your shared artifacts directory
mkdir -p ./shared/artifacts
Ensure your workspace is structured to include predictable paths so agents can reliably find and hand off work artifacts.
Agent Team Orchestration Data Schema & Taxonomy
The skill organizes data through a task-tracking system and a set of reference documents. The core task state schema follows a linear progression:
| State | Description |
|---|---|
| Inbox | Initial intake of the task request |
| Assigned | Task allocated to a specific agent role |
| In Progress | Work actively being performed by a Builder |
| Review | Artifacts being verified by a Reviewer agent |
| Done | Task completed and verified successfully |
| Failed | Task stopped with error documentation and capture |
Every handoff includes a metadata packet containing the summary of work, exact file paths for artifacts, verification commands (e.g., test scripts), known issues, and the designated next action.
Agent Team Orchestration Advanced Features
- Automated model routing via the SkillBoss API Hub to match task requirements with high-reasoning or cost-effective models.
- Parallel research and escalation patterns for handling complex, multi-faceted projects across multiple agents.
- Structured artifact sharing via predictable directory structures to prevent data loss between agent transitions.
- Multi-step workflow patterns including specification-to-build-to-test loops for high-reliability outputs.
- Mandatory review gates that require a different agent to verify work, preventing compounding quality drift.
SKILL.md
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