How do I install the Multi Agent Orchestrator skill?

Run npx skillmds@latest add dvcrn/multi-agent-orchestrator-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Multi Agent Orchestrator safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Multi Agent Orchestrator?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Multi Agent Orchestrator free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Multi Agent Orchestrator?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Multi Agent Orchestrator by dvcrn — Agent Skill

Name: Multi Agent Orchestrator
Rating: 4.2 (5 reviews)
Author: dvcrn

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.

dvcrn Updated Sep 9, 2026 32 repo stars

File contents

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.

---name: multi-agent-orchestrator-2description: 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:** ```bash 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.

Frequently asked questions