prose

Orchestrate multi-agent AI workflows with sessions, parallel branches, and loops.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/rigeoben/fairy --skill prose-rigeoben
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/rigeoben/fairy/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/rigeoben/fairy --skill prose-rigeoben

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenProse VM skill pack enables orchestrating multi-agent workflows by coordinating sessions, imports, and state across agents within the VM environment.

Core Features & Use Cases

  • Orchestrates multi-agent workflows (sessions, parallel branches, and loops) across agents
  • Supports importing external programs, reusable blocks, and persistent memory for agents
  • Provides flexible state backends (filesystem, in-context, SQLite, PostgreSQL) to fit project needs

Quick Start

Install this skill package and start a session to orchestrate agents using 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 with parallel sessions and state persistence?

You can orchestrate multi-agent AI workflows by coordinating sessions, parallel branches, and loops across agents while using memory persistence and flexible state backends like filesystem, SQLite, or PostgreSQL to maintain context.

What is the best way to manage state across multiple AI agents in an automation pipeline?

Managing state across multiple AI agents requires flexible state backends; this approach supports filesystem, in-context, SQLite, and PostgreSQL backends to fit project needs and ensure persistent memory across coordinated agent sessions.

How do I run parallel and nested agent workflows within a local VM environment?

Running parallel and nested agent workflows within a local VM involves enforcing a strict program structure with features like sessions, loops, and blocks to coordinate end-to-end automation pipelines across distributed agents.

Does this multi-agent orchestration approach support reusable blocks and external program imports?

Yes, multi-agent orchestration supports importing external programs and using reusable blocks across projects, enabling code reuse and persistent agents within an OpenProse-enabled environment.

Can I build a captain's chair pattern for end-to-end automation pipelines using this orchestration framework?

Building a captain's chair pattern for end-to-end automation pipelines is supported directly by the orchestration framework, allowing you to coordinate nested workflows, manage state, and execute parallel sessions across agents.