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prose

Define and execute multi-agent workflows with OpenProse declarative syntax.

Updated Feb 18, 2026
Search Tags:#workflow automation#ai orchestration#agent programming#llmops#declarative ai#prose language
One-click install
npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill prose-loveoplay2023-hue
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/loveoplay2023-hue/OpenMehdi/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill prose-loveoplay2023-hue

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 multi-agent workflows using a structured, readable programming language, turning AI sessions into powerful, programmable computers.

Core Features & Use Cases

  • Define AI Workflows: Write .prose programs to orchestrate AI agents for tasks like research, code generation, and complex analysis.
  • Manage State: Persist execution state using files, SQLite, or PostgreSQL for robust, resumable workflows.
  • Use Case: Automate a code review process by defining a .prose program that spawns specialized AI agents for security, performance, and style checks, then synthesizes their feedback into a single 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 orchestrate multi-agent AI workflows using a declarative syntax?▼

You can orchestrate multi-agent AI workflows by writing structured `.prose` programs that define agent tasks and control flow, executing them directly to manage the entire session programmatically.

What is the best way to automate complex AI tasks like code review with multiple agents?▼

Automate complex AI tasks by writing a `.prose` program that spawns specialized agents for specific checks, such as security or performance, and synthesizes their feedback into a single consolidated report.

Can I persist execution state for resumable AI workflows using SQLite or PostgreSQL?▼

Yes, you can persist execution state for resumable AI workflows by configuring state backends to use file-system storage, SQLite, or PostgreSQL, ensuring robust and collaborative development.

How do I define and execute AI agent workflows step by step?▼

Define your workflow logic in a `.prose` file, specify agent roles and control flow, then execute the program using the provided environment to run the example '01-hello-world.prose' for guidance.

Does declarative AI orchestration support state management for collaborative development?▼

Declarative AI orchestration supports state management by utilizing structured syntax to manage state persistence, enabling scalable and collaborative AI development across various backend storage options.

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