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prose

Define and execute multi-agent workflows with OpenProse scripts.

39|10|Updated Jan 27, 2026
Search Tags:#automation#agent workflow#multi-agent systems#ai orchestration#llm programming#prose language
One-click install
npx skills add https://github.com/lllooollpp/clawdbot-cn --skill prose-lllooollpp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/lllooollpp/clawdbot-cn/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/lllooollpp/clawdbot-cn --skill prose-lllooollpp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to define and execute complex multi-agent workflows using a structured programming language, turning AI sessions into powerful, repeatable automation.

Core Features & Use Cases

  • Define AI Agents: Create reusable agent configurations with specific models and prompts.
  • Orchestrate Workflows: Write .prose programs to sequence, parallelize, and manage agent interactions.
  • Use Case: Automate a code review process where one agent identifies issues, another suggests fixes, and a third synthesizes the feedback into a report, all managed by a .prose script.

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 workflows with structured programs?▼

Multi-agent workflows are orchestrated using OpenProse, a declarative programming language that sequences, parallelizes, and manages agent interactions through structured scripts.

How does context passing work in parallel AI agent execution?▼

Context passing and parallel execution are managed by declarative scripts that control agent lifecycles and state persistence, ensuring data flows correctly between concurrent agents.

Can I use PostgreSQL or SQLite for AI agent state persistence?▼

Yes, state persistence supports multiple backends including SQLite, PostgreSQL, file-system, and in-context storage to manage agent state for diverse operational needs.

What is the best way to automate a code review process with multiple AI agents?▼

Automate code review by writing a program where one agent identifies issues, another suggests fixes, and a third synthesizes feedback into a report.

Do I need to install dependencies to define and execute AI agent configurations?▼

No external dependencies are required to define reusable agent configurations with specific models and prompts, as the execution environment manages the workflow internally.

When should I use declarative programming for LLM orchestration?▼

Use declarative programming for LLM orchestration to turn AI sessions into repeatable automation, managing complex agent lifecycles and parallel execution reliably.

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