prose

Orchestrate AI agent sessions with a structured programming language.

1|1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/Dbillionaer/wholesaile --skill prose-dbillionaer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/Dbillionaer/wholesaile/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/Dbillionaer/wholesaile --skill prose-dbillionaer

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 orchestrating AI agents, enabling complex multi-agent workflows that are difficult to achieve with simple prompts alone.

Core Features & Use Cases

  • Structured Workflows: Define sequential, parallel, and conditional execution of AI tasks.
  • Agent Management: Define, configure, and manage specialized AI agents with specific models and skills.
  • State Management: Persist execution state using files, SQLite, or PostgreSQL for complex or long-running tasks.
  • 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

Run the 'hello world' example program 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 multi-agent systems with structured workflows?

You orchestrate multi-agent systems by writing structured programs with explicit control flow, agent definitions, state management, and error handling. This enables sequential, parallel, and conditional execution of complex AI tasks.

What is the best way to manage state in long-running AI agent workflows?

State management in long-running AI agent workflows is handled by persisting execution state using files, SQLite, or PostgreSQL. This ensures complex multi-agent tasks maintain context reliably across execution cycles.

Can I automate a software development lifecycle using AI agents?

You can automate a software development lifecycle by defining agents for code generation, testing, review, and deployment. These specialized agents are orchestrated by a central structured program to execute complex workflows.

Does this workflow orchestration approach support parallel and conditional execution?

This workflow orchestration approach supports parallel, conditional, and sequential execution of tasks. It provides a programming language and virtual machine to define explicit control flow for complex multi-agent system development.

How do I run a hello world example for AI agent orchestration?

To run a hello world example for AI agent orchestration, execute the provided example program using the skill. This initiates the virtual machine and demonstrates the core programming language syntax for defining agents.

Why use a programming language for AI agent orchestration instead of simple prompts?

A programming language is used for AI agent orchestration because simple prompts cannot easily achieve complex multi-agent workflows. Structured programs provide explicit control flow, state management, and error handling for reliable execution.