prose

Orchestrate multi-agent workflows using OpenProse VM and structured .prose programs.

Updated Feb 18, 2026

Search Tags:#workflow automation #multi-agent #ai orchestration #openprose #virtual machine

Ready to run

npx skills add https://github.com/ClaudioCeppi83/kora-os-kernel --skill prose-claudioceppi83

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/ClaudioCeppi83/kora-os-kernel/tree/main/engines/openclaw/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/ClaudioCeppi83/kora-os-kernel --skill prose-claudioceppi83

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openclaw, tauri, tokio, svelte, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a platform for orchestrating AI-powered workflows, allowing users to simulate virtual machines and manage multi-agent sessions through structured OpenProse programs.

Core Features & Use Cases

Multi-Agent Workflow Orchestration: Simulate a virtual machine with OpenProse VM to control multiple AI agents for complex tasks.
Program Composition: Write structured .prose files to define and execute workflows, leveraging session spawning, parallel execution, and state management.
Use Case: For a content review process, you can create a .prose program that defines research, analysis, and review agents, and orchestrates them to process content and generate reports.

Quick Start

Run the 'prose' command to activate the OpenProse VM and begin defining your workflow.

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 for automated task execution?▼

Multi-agent workflow orchestration is managed by simulating a virtual machine with OpenProse VM to control multiple AI agents. You write structured .prose files defining agents and workflows, enabling session spawning, parallel execution, and state management for complex automated tasks.

Can I control Claude Code and OpenCode agents through structured program composition?▼

Yes, you can control Claude Code, OpenCode, and other AI agents through structured program composition. The OpenProse VM automates complex tasks by orchestrating these compatible agents, using defined .prose programs to execute and manage multi-agent sessions.

How do I write .prose files to define parallel execution and state management?▼

You define .prose programs by writing structured files that specify research, analysis, and review agents. These files leverage OpenProse VM session spawning, parallel execution, and state management to orchestrate content processing and generate reports.

What dependencies do I need to run the OpenProse VM for AI workflow automation?▼

Running the OpenProse VM for AI workflow automation requires the openclaw, tauri, tokio, and svelte dependencies. You need this environment setup along with compatible AI agents like Claude Code or OpenCode to execute the structured .prose programs.

Does multi-agent orchestration support parallel session spawning for content review processes?▼

Yes, multi-agent orchestration supports parallel session spawning for content review processes. You can create a .prose program that defines research, analysis, and review agents, orchestrating them concurrently to process content and generate reports efficiently.

When should I use a virtual machine approach for AI workflow automation?▼

You should use a virtual machine approach for AI workflow automation when managing complex multi-agent tasks requiring structured program composition. The OpenProse VM provides state management and parallel execution capabilities necessary for orchestrating multiple AI agents in sophisticated workflows.