prose

Create and execute AI workflows using the OpenProse language.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/fame0528/Savant-dead --skill prose-fame0528
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/fame0528/Savant-dead/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/fame0528/Savant-dead --skill prose-fame0528

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and examples (resource) components.

What problem does it solve?

This Skill allows you to write and execute AI workflows using a structured, human-readable language called OpenProse, eliminating the need for complex SDKs or manual API calls.

Core Features & Use Cases

  • Write & Execute AI Workflows: Define multi-agent tasks, parallel processing, and error handling in a clear .prose file.
  • Agent Orchestration: Seamlessly manage and coordinate multiple AI agents for complex tasks.
  • Use Case: Automate a code review process where one agent identifies issues, another suggests fixes, and a third synthesizes the feedback into a report.

Quick Start

Run the example program '01-hello-world.prose' using the prose skill.

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 without using complex SDKs?

You can orchestrate multiple AI agents by writing structured, human-readable OpenProse files. This approach eliminates the need for complex SDKs or manual API calls by defining multi-agent tasks, parallel processing, and error handling directly in a clear text format.

What is the best way to define parallel processing and error handling for AI workflows?

Defining parallel processing and error handling for AI workflows is best done using the OpenProse language. It allows you to programmatically compose complex AI tasks and specify robust error handling mechanisms within a structured, human-readable `.prose` file.

Can I persist state for dynamic agent management across complex AI tasks?

Yes, you can persist state for dynamic agent management via the file system or a database. The OpenProse language supports state persistence to ensure data continuity when coordinating complex AI tasks and parallel processing workflows.

How do I start writing a multi-agent task using the OpenProse language?

To start writing a multi-agent task using the OpenProse language, run the example program '01-hello-world.prose' provided by the skill. This example demonstrates the basic syntax and execution process for creating structured AI workflows.

Does structured prose work for automating a multi-step code review process?

Structured prose works for automating a multi-step code review process by orchestrating multiple AI agents. One agent can identify issues, another suggests fixes, and a third synthesizes the feedback into a report, all coordinated within a `.prose` file.