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prose

Orchestrate AI agents and simulate virtual machines using the Prose language.

23|10|Updated Feb 9, 2026
Search Tags:#multi-agent workflow#virtual machine#AI programming#AI session#Prose language
One-click install
npx skills add https://github.com/deepgram/dglabs-deepclaw --skill prose-deepgram
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/deepgram/dglabs-deepclaw/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/deepgram/dglabs-deepclaw --skill prose-deepgram

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to program AI agents and simulate virtual machines using Prose, enabling complex workflows and computations within the AI session.

Core Features & Use Cases

  • Programming AI Agents: Write structured programs that orchestrate AI agents.
  • Virtual Machine Simulation: Execute programs that simulate virtual machines with detailed system descriptions.
  • Use Case: Imagine you want to automate a workflow that involves multiple AI agents working together to analyze a dataset and generate a report. This Skill enables you to write a program that coordinates these agents and manages the flow of the workflow.

Quick Start

Run the onboarding wizard (prose onboard) in your terminal to set up the gateway, workspace, channels, and skills.

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 workflows within an AI session?▼

You simulate a virtual machine by using the Prose language to execute programs with detailed system descriptions inside an AI session. This allows complex computations and multi-agent workflows to run in a controlled virtual environment.

Do I need to know the Prose language to program AI agents for complex computations?▼

Yes, you need Prose language knowledge and an understanding of AI session architecture to program AI agents effectively. These prerequisites allow you to write structured programs that orchestrate complex multi-agent workflows and computations.

What is the best way to set up a workspace to simulate virtual machines using Prose?▼

The best way to set up is by running the onboarding wizard (`prose onboard`) in your terminal. This process configures the gateway, workspace, channels, and skills required to simulate virtual machines and program AI agents.

Can I automate a dataset analysis and report generation workflow across multiple AI agents?▼

Yes, you can automate dataset analysis and report generation by writing a Prose program that coordinates multiple AI agents. The Skill manages the workflow flow, allowing agents to work together and generate a final report within the AI session.

What are the limitations when simulating virtual machines in an AI session?▼

Simulating virtual machines in an AI session is limited by your knowledge of the Prose language and AI session architecture. Complex multi-agent workflows require structured programming, meaning computations depend on the accuracy of your system descriptions and program logic.

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