prose

Coordinate AI agents into workflows with subagents and stateful task management.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/191854169/openclawFork --skill prose-191854169
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/191854169/openclawFork/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/191854169/openclawFork --skill prose-191854169

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OpenProse provides a structured, executable framework to coordinate multiple AI agents as part of a workflow, turning complex orchestration into repeatable, auditable tasks.

Core Features & Use Cases

  • VM-driven orchestration: Spawns subagents to perform tasks in parallel or sequence, and aggregates results.
  • Command-driven activation: Activates on standard prose commands and mentions within a workspace to trigger workflows.
  • Reusable workflows: Enables composing tasks into higher-level processes using sessions, blocks, and imports.

Quick Start

Install OpenProse and run a small .prose file to see the VM orchestrate a sample multi-agent workflow.

Frequently Asked Questions about prose

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

FAQPage Schema
How do I orchestrate multiple AI agents in a reliable workflow?

Multi-agent orchestration coordinates subagents into repeatable, auditable tasks. OpenProse spawns subagents to execute tasks in parallel or sequence, routing commands and persisting outcomes in a structured state store for reliable results.

What is the best way to manage state and provenance in multi-agent pipelines?

Stateful task management in multi-agent pipelines tracks provenance by persisting outcomes in a structured state store. OpenProse ensures deterministic orchestration by maintaining session state and aggregating subagent results for full auditability.

Can I run parallel and sequential tasks in a multi-agent content generation workflow?

Yes, you can run parallel and sequential tasks in multi-agent content generation workflows. The VM-driven orchestration spawns subagents that perform isolated tasks, aggregating the results to compose higher-level processes using sessions and blocks.

How do I trigger automated workflows using standard commands in a workspace?

Command-driven activation triggers automated workflows when standard prose commands or mentions are used within a workspace. This mechanism routes commands to the orchestration VM, initiating multi-agent tasks without manual configuration.

Does multi-agent orchestration require external dependencies to manage task routing?

No external dependencies are required to manage multi-agent task routing. OpenProse handles command routing, subagent spawning, and state persistence internally, allowing you to execute multi-agent workflows directly within your environment.

When should I not use a deterministic orchestration framework for AI agents?

Deterministic orchestration frameworks are not suited for highly dynamic, unpredictable agent interactions requiring real-time human intervention. OpenProse is built for repeatable, auditable pipelines like research and content generation, not free-form conversational autonomy.