prose

Define and execute AI workflows with structured programs orchestrating multiple agents.

1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/syxscott/PaleoClaw --skill prose-syxscott
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/syxscott/PaleoClaw/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/syxscott/PaleoClaw --skill prose-syxscott

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to define and execute complex AI workflows by writing structured programs, moving beyond simple prompts to create robust, repeatable, and maintainable AI-driven processes.

Core Features & Use Cases

  • AI Workflow Orchestration: Define multi-agent interactions, parallel execution, loops, and error handling in a clear, declarative language.
  • Agent Management: Configure and manage specialized AI agents with specific models, skills, and permissions.
  • Use Case: Automate a software development lifecycle by defining agents for code generation, testing, review, and deployment, all orchestrated by a central .prose program.

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 orchestrate complex AI workflows with multiple agents?

You can orchestrate complex AI workflows by writing structured programs in a declarative language that defines multi-agent interactions, parallel execution, loops, and error handling for robust, repeatable processes.

What is declarative AI agent programming and when do I need it?

Declarative AI agent programming is defining AI workflows via structured code rather than simple prompts. You need it when automating multi-step processes requiring complex control flow, state management, and specialized agent configuration.

How do I automate a software development lifecycle using AI agents?

Automate a software development lifecycle by defining specialized agents for code generation, testing, review, and deployment, then orchestrating them together using a central structured program.

Can I manage parallel processing and error handling for AI agents?

Yes, you can manage parallel processing and error handling by utilizing a VM model where the AI session embodies the execution environment, allowing you to configure complex control flow and state management.

Does this AI workflow orchestration approach support state management?

Yes, this approach supports state management by utilizing a VM model execution environment, allowing your structured programs to maintain context and handle errors across multi-agent interactions and parallel execution.