prose

Orchestrate multi-agent workflows and simulate virtual machines with OpenProse.

18|1|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/vignesh2027/Vilvona-AI --skill prose-vignesh2027
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/vignesh2027/Vilvona-AI/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/vignesh2027/Vilvona-AI --skill prose-vignesh2027

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires vilvona, anthropic, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill allows users to create and simulate virtual machines by orchestrating AI agents, enabling the simulation of complex systems and workflows.

Core Features & Use Cases

  • Multi-Agent Workflows: Define and execute workflows that involve multiple AI agents working together.
  • Virtual Machine Simulation: Simulate virtual machines using OpenProse programming language, allowing users to simulate complex systems.
  • Use Case: Imagine you want to simulate a web browser using AI. You can define a .prose file that includes multiple agents, each with its own task, to simulate the browser's functionality.

Quick Start

To get started with the OpenProse Skill, first install Vilvona AI using the following command: npx vilvona. Then, create a .prose file that defines your desired workflow and run it using the command: prose run your-prose-file.prose.

Frequently Asked Questions about prose

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent AI workflows for complex system simulation?

Multi-agent AI workflows are orchestrated by defining agents and their tasks in a .prose file, which is then executed using the prose run command to simulate complex system behaviors and interactions.

What do I need to simulate virtual machines using AI agents?

Simulating virtual machines with AI agents requires installing Vilvona AI via npx vilvona, providing an Anthropic API key, and accessing the Claude Fable 5 model for agent execution and system simulation.

How do I create and run a multi-agent workflow using a programming language?

Create a .prose file using the OpenProse programming language to define multiple AI agents and their specific tasks, then execute the workflow by running the command prose run your-prose-file.prose.

Can I use this multi-agent workflow tool to simulate a web browser?

Yes, you can simulate a web browser by creating a .prose file that includes multiple AI agents, each assigned specific tasks to replicate the browser's functionality and system interactions.

Does the virtual machine simulation support file I/O and remote fetching?

Virtual machine simulation supports handling tasks like file I/O operations and remote fetching by orchestrating designated AI agents within the defined multi-agent workflow environment.

Why does agent simulation require the Claude Fable 5 model and an Anthropic API key?

Agent simulation requires the Claude Fable 5 model and an Anthropic API key to execute the underlying AI logic and power the multi-agent workflows necessary for virtual machine simulation.