A robust orchestration layer for managing specialized AI agents to complete complex, multi-step tasks efficiently.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-agent-coordinator-zhuyu28
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 multi-agent-coordinator-zhuyu28 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 Multi-Agent Coordinator?
The Multi-Agent Coordinator is a sophisticated tool designed to bridge the gap between individual AI capabilities and complex system-wide requirements. By leveraging this tool within Openclaw Skills, developers can build scalable agentic systems where different agents specialize in unique domains like coding, research, or testing. It provides a structured framework for communication patterns, ensuring that data flows seamlessly between agents while maintaining task context and state throughout the entire lifecycle.
This skill acts as the brain of a multi-agent system, handling the complexities of task decomposition and delegation. By utilizing Openclaw Skills for orchestration, you can ensure that every agent in your stack is performing the tasks best suited to its specific capabilities, leading to higher accuracy and faster project completion in automated environments.
Multi-Agent Coordinator Use Cases
- Coordinating specialized agents for complex software engineering and development projects.
- Decomposing high-level business objectives into granular tasks for delegation across an agentic team.
- Managing state and data flow between independent AI entities in a shared, multi-step workflow.
- Implementing advanced collaboration patterns such as peer review or sequential processing within Openclaw Skills.
How Multi-Agent Coordinator Works
- Analyze the primary goal provided by the user and decompose it into discrete, actionable sub-tasks.
- Identify the optimal agent for each sub-task based on specialized skill sets and current workload.
- Establish a secure communication channel to facilitate data exchange and feedback loops between agents.
- Monitor the execution progress in real-time and aggregate results from various agents into a unified final output.
- Manage error handling and task reassignment automatically if an agent fails to meet specific requirements within the Openclaw Skills framework.
Multi-Agent Coordinator Setup
To integrate this coordinator into your current environment, follow these installation steps:
# Install the multi-agent coordinator skill via the CLI
claw install multi-agent-coordinator-zhuyu28
# Configure the orchestration parameters for your team
claw config set agent_orchestration_mode parallel
Ensure your environment variables for all participating agents are correctly configured to allow seamless integration with Openclaw Skills and shared state management.
Multi-Agent Coordinator Data Schema & Taxonomy
The Multi-Agent Coordinator organizes data through a centralized state object and detailed task metadata to ensure consistency across the team.
| Field | Type | Description |
|---|---|---|
agent_id |
UUID | Unique identifier for each participant in the Openclaw Skills workflow. |
task_status |
String | Current state of the delegated task (e.g., pending, active, completed, failed). |
payload |
Object | The contextual data and parameters passed between agents for processing. |
history |
Array | A comprehensive log of all inter-agent communications and state changes for auditing. |
Multi-Agent Coordinator Advanced Features
- Support for both parallel and sequential execution patterns tailored for Openclaw Skills.
- Dynamic task reassignment based on real-time agent performance metrics and availability.
- Built-in conflict resolution protocols for overlapping agent outputs or resource contention.
- Custom hooks for pre-processing and post-processing task data to maintain high data integrity.
SKILL.md
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