A powerful tool for automatically generating, organizing, and visualizing collaborative AI agent teams from a single natural language prompt.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-agent-orchestrator
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-orchestrator 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 Orchestrator?
The Multi-Agent Orchestrator is a specialized skill designed to simplify the complex task of designing multi-agent systems. By processing a natural language prompt, it identifies the necessary roles and hierarchies required for a specific task, effectively automating the architectural phase of agent deployment. This integration within the Openclaw Skills ecosystem allows developers to move from concept to a structured agent framework in seconds.\n\nBeyond simple agent creation, this skill provides critical insights into system dynamics. It translates abstract agent relationships into tangible visual artifacts, including organizational charts and swimlane diagrams. These visualizations are essential for debugging collaboration logic and communicating system architecture to stakeholders, making it an indispensable asset for developers working with autonomous agent workflows.
Multi-Agent Orchestrator Use Cases
- Rapidly prototyping complex multi-agent teams for software development or marketing projects.\n- Generating visual documentation for agent-based system architectures.\n- Analyzing and optimizing collaboration patterns between specialized AI roles.\n- Communicating technical agent hierarchies to non-technical stakeholders through automated PNG exports.
How Multi-Agent Orchestrator Works
- The user provides a natural language prompt describing a goal or task to the orchestration script.\n2. The skill analyzes the requirements and identifies the optimal set of specialized agents needed.\n3. Agent roles, responsibilities, and reporting lines are automatically defined and configured.\n4. The system generates Mermaid.js code representing the organizational structure and workflow.\n5. Mermaid files are rendered into high-quality PNG images for immediate visualization and review.
Multi-Agent Orchestrator Setup
To install and use the Multi-Agent Orchestrator as part of your Openclaw Skills library, ensure you have the necessary Python environment configured. You can execute the primary orchestration script directly from your terminal.\n\nbash\n# Navigate to your skills directory\ncd /home/ubuntu/skills/multi-agent-orchestrator\n\n# Run the orchestration script with a custom prompt\npython scripts/orchestrate_and_visualize.py \\\n --prompt "Create a research and development team for autonomous vehicles" \\\n --output_dir "./output"\n
Multi-Agent Orchestrator Data Schema & Taxonomy
The Multi-Agent Orchestrator generates structured output files to help manage agent metadata and visual assets. The following table describes the primary outputs:\n\n| File Name | Format | Description |\n| :--- | :--- | :--- |\n| org_chart.mmd | Mermaid | Source code for the organizational hierarchy. |\n| org_chart.png | Image | Visual representation of agent reporting lines. |\n| swimlane.mmd | Mermaid | Source code for collaborative workflow logic. |\n| swimlane.png | Image | Visual swimlane chart showing task distribution. |\n| scripts/ | Folder | Contains core logic for generation and visualization. |
Multi-Agent Orchestrator Advanced Features
- Automated Mermaid-to-PNG rendering for instant technical documentation.\n- Customizable output directories for seamless integration into larger project pipelines.\n- Extensible template system for standardizing agent output formats and boilerplate code.\n- Support for complex hierarchical structures including multiple management layers and cross-functional roles.\n- Integration-ready scripts that can be triggered by other Openclaw Skills for autonomous system scaling.
SKILL.md
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