Multi-Agent Collaboration Skill
name: multi-agent-orchestrator
by brandon-zhanghaodong · published 2026-03-22
$ claw add gh:brandon-zhanghaodong/brandon-zhanghaodong-multi-agent-orchestrator---
name: multi-agent-orchestrator
description: This skill enables one-click generation of multiple AI agents based on a user prompt, outputs their organizational structure, and visualizes their collaboration status using diagrams like swimlane charts. Use this skill to rapidly prototype multi-agent systems, understand their internal dynamics, and facilitate their orchestration.
---
# Multi-Agent Collaboration Skill
Overview
This skill streamlines the creation and management of multi-agent AI systems. It allows users to define a task with a natural language prompt, and the skill automatically generates a team of specialized agents, visualizes their organizational structure, and illustrates their collaborative workflows using industry-standard diagrams.
Usage
To use this skill, invoke the `orchestrate_and_visualize.py` script with a natural language prompt describing the multi-agent system you wish to generate and visualize.
`orchestrate_and_visualize.py`
This script takes a user prompt, generates a team of collaborative agents, and then produces visual representations of their organizational structure and collaboration patterns.
**Input Parameters:**
* `prompt` (string, required): A natural language description of the task or system for which you want to generate agents (e.g., "Create a software development team for an e-commerce platform.", "Conduct market research for a new AI product.").
* `output_dir` (string, optional): The directory where the generated Mermaid files and PNG images will be saved. Defaults to the current directory.
**Output:**
The script will output the following files to the specified `output_dir`:
* `org_chart.mmd`: Mermaid code for the organizational chart.
* `org_chart.png`: PNG image of the organizational chart.
* `swimlane.mmd`: Mermaid code for the swimlane diagram.
* `swimlane.png`: PNG image of the swimlane diagram.
**Example Usage:**
python /home/ubuntu/skills/multi-agent-orchestrator/scripts/orchestrate_and_visualize.py \
--prompt "Design a marketing campaign for a new sustainable energy product." \
--output_dir "/home/ubuntu/marketing_agents"This will generate the agent team, their organizational chart, and a swimlane diagram showing their collaboration, saving all outputs to `/home/ubuntu/marketing_agents/`.
Resources
This skill includes the following resources:
`scripts/`
* `generate_agents.py`: Generates a set of agents and their initial configurations based on a given prompt.
* `visualize_collaboration.py`: Generates Mermaid organizational charts and swimlane diagrams from agent data.
* `orchestrate_and_visualize.py`: Orchestrates the agent generation and visualization process, rendering Mermaid diagrams to PNG images.
`references/`
* `api_reference.md`: (Placeholder) This file can be used for detailed API documentation or specific guidelines for agent interaction protocols.
`templates/`
* `example_template.txt`: (Placeholder) This file can be used for boilerplate code or standard output formats for agents.
More tools from the same signal band
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
Sign plugins, rotate agent credentials without losing identity, and publicly attest to plugin behavior with verifiable claims and authenticated transfers.
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your...