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Skills multi-agent-orchestrator

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.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/brandon-zhanghaodong/multi-agent-orchestrator" ~/.claude/skills/clawdbot-skills-multi-agent-orchestrator-4316a4 && rm -rf "$T"
manifest: skills/brandon-zhanghaodong/multi-agent-orchestrator/SKILL.md
source content

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.