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0xHoneyJar
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prose

Create and execute structured AI programs using declarative .prose syntax.

5|Updated Feb 2, 2026
Search Tags:#workflow automation#agent orchestration#prose#llm programming#ai programming#declarative language
One-click install
npx skills add https://github.com/0xHoneyJar/loa-beauvoir --skill prose-0xhoneyjar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/0xHoneyJar/loa-beauvoir/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/0xHoneyJar/loa-beauvoir --skill prose-0xhoneyjar

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured programming language for AI sessions, enabling complex multi-agent workflows and deterministic task execution.

Core Features & Use Cases

  • Declarative Syntax: Write AI workflows in a clear, readable .prose format.
  • Agent Orchestration: Define, manage, and coordinate multiple AI agents.
  • Use Case: Automate a code review process where one agent analyzes code for bugs, another checks for style, and a third synthesizes findings into a report.

Quick Start

Use the prose skill to run the example program 'examples/01-hello-world.prose'.

Frequently Asked Questions about prose

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

FAQPage Schema
How do I automate multi-agent workflows for complex task execution?▼

You can automate multi-agent workflows by writing structured AI programs in a declarative language that defines agent interactions, control flow, and state management for deterministic task execution.

What is a declarative language for AI programming and when do I need it?▼

A declarative language for AI programming allows you to define structured workflows in a readable format, needed when coordinating multiple AI agents and managing conditional logic for complex automation.

Can I coordinate multiple AI agents to run in parallel?▼

Yes, you can coordinate multiple AI agents in parallel by using a declarative syntax that explicitly supports multi-agent orchestration and conditional logic for structured execution.

How do I get started writing agent orchestration programs?▼

You can get started by writing AI workflows in a clear, readable .prose format and running example programs like 'examples/01-hello-world.prose' to test agent execution.

What is the best way to structure conditional logic in AI workflows?▼

The best way to structure conditional logic in AI workflows is using a declarative programming language that natively manages state and control flow for deterministic multi-agent execution.

Does this approach support code review automation with multiple agents?▼

Yes, this approach supports code review automation by allowing one agent to analyze bugs, another to check style, and a third to synthesize findings into a report through structured orchestration.

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