prose

Coordinate multi-agent workflows with sessions, imports, and state backends.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/saifaldin14/Espada-Auto --skill prose-saifaldin14
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/saifaldin14/Espada-Auto/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/saifaldin14/Espada-Auto --skill prose-saifaldin14

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenProse VM skill pack provides a complete, self-contained framework to orchestrate multi-agent workflows inside the OpenProse ecosystem. It standardizes how to define agents, spawn sessions, manage imports, and coordinate across different backends, enabling reliable, auditable automation.

Core Features & Use Cases

  • Integrated execution model for sessions, agents, and imports, enabling complex orchestrations like captain's chair patterns, parallel research, and multi-stage pipelines.
  • Built-in support for multiple state backends (filesystem, in-context, SQLite, PostgreSQL) to suit persistence, resumption, and cross-team collaboration.
  • Comprehensive guidance, references, and example programs to accelerate authoring, testing, and deployment of OpenProse workflows.

Quick Start

Run a minimal program that defines an agent, starts a session, and returns an output to verify the basics.

Frequently Asked Questions about prose

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

FAQPage Schema
How do I coordinate multi-agent workflows with deterministic task routing?

Multi-agent workflows are coordinated by defining agent templates and spawning sessions within the OpenProse VM, which handles deterministic task routing and parallel execution across complex orchestration pipelines.

What state backends can I use for multi-agent session resumption and auditing?

Session state management supports filesystem, in-context, SQLite, and PostgreSQL backends to enable robust resumption, persistence, and auditing for multi-agent workflow execution.

How do I orchestrate parallel research and multi-stage agent pipelines?

Parallel research and multi-stage pipelines are orchestrated using the integrated execution model that manages sessions, imports, and agent templates, enabling complex patterns like captain's chair and parallel execution.

Does OpenProse VM work without external dependencies for managing agent sessions?

Yes, the framework operates self-contained without external dependencies, but it does require integration with OpenProse programs and skill modules to define the agents and structured interfaces for execution.

What is the best way to standardize multi-agent automation for cross-team collaboration?

Standardizing multi-agent automation is achieved by using structured interfaces for execution, state, and outputs alongside PostgreSQL backends, enabling reliable and auditable cross-team workflow collaboration.

Why do I need a virtual machine for multi-agent workflow state management?

The VM provides an integrated execution model that standardizes how agents are defined and sessions are spawned, ensuring deterministic routing and robust state backend coordination rather than ad-hoc agent scripting.