prose

Execute OpenProse programs that orchestrate AI agents with parallel execution and state management.

3|1|Updated Feb 23, 2026

Search Tags:#automation #agent orchestration #ai workflow #openprose #programming language #llm programming

Ready to run

npx skills add https://github.com/SeanHogg/coderClaw --skill prose-seanhogg

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/SeanHogg/coderClaw/tree/main/product/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/SeanHogg/coderClaw --skill prose-seanhogg

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 execute structured AI workflows defined in .prose files, automating complex multi-agent tasks without manual intervention.

Core Features & Use Cases

Execute .prose programs: Run any OpenProse script, from simple tasks to complex orchestration.
Manage AI agents: Define, configure, and invoke specialized AI agents for specific roles.
Handle complex logic: Supports parallel execution, loops, error handling, and conditional branching.
Use Case: Automate a code review process where multiple specialized agents (security, performance, style) review code in parallel, then a coordinator agent 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 AI agents for complex automated workflows?▼

You can orchestrate AI agents by executing structured OpenProse programs that manage agent definitions, parallel execution, loops, and conditional logic without manual intervention.

How do I run a multi-agent code review process in parallel?▼

Run a multi-agent code review by executing an OpenProse program where specialized agents analyze code in parallel, then a coordinator agent synthesizes their feedback into a single report.

What state management backends can I use for persistent AI workflow memory?▼

Persistent AI workflow memory supports file-system, in-context, SQLite, and PostgreSQL backends to maintain execution tracking and session state across agent runs.

Does OpenProse support conditional logic and error handling for agent orchestration?▼

OpenProse supports conditional logic and error handling for agent orchestration, allowing structured workflows to manage branching and recover from execution failures automatically.

How do I start automating tasks with OpenProse programs?▼

Start automating tasks by using the skill to run example OpenProse scripts, such as the 'hello-world' program, to see how agent definitions and execution tracking function.

What is the best way to manage multiple AI agent sessions dynamically?▼

Manage multiple AI agent sessions dynamically by executing OpenProse programs that handle session spawning and parallel execution using supported state management backends.