skills.rest
coltonbatts
coltonbattsCOMMUNITY
Explore all skills by this author →
𝕏@theColtonBattsGitHub

prose

Define and execute multi-agent workflows with a declarative programming language.

Updated Jan 26, 2026
Search Tags:#workflow automation#ai agents#orchestration#multi-agent systems#llm orchestration#programming language
One-click install
npx skills add https://github.com/coltonbatts/Loubot --skill prose-coltonbatts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prose
Source: https://github.com/coltonbatts/Loubot/tree/main/extensions/open-prose/skills/prose
Command: npx skills add https://github.com/coltonbatts/Loubot --skill prose-coltonbatts

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates complex multi-agent workflows by allowing you to write structured programs that define agent behavior, data flow, and execution logic.

Core Features & Use Cases

  • Agent Orchestration: Define and manage multiple AI agents within a single program.
  • Structured Workflows: Create deterministic, repeatable processes for AI tasks.
  • Use Case: Automate a code review process where one agent identifies issues, another suggests fixes, and a third synthesizes the feedback into a 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 workflows using a declarative programming language?▼

You orchestrate multi-agent workflows by writing declarative programs that define agent behavior, data flow, and execution logic. A virtual machine model manages agent lifecycles, context passing, parallel execution, and state persistence dynamically.

What is structured AI agent orchestration and when do I need it?▼

Structured AI agent orchestration coordinates multiple agents within deterministic, repeatable processes. You need it to automate complex multi-agent tasks, such as a code review process where agents identify issues, suggest fixes, and synthesize feedback.

How do I manage context passing and state persistence for parallel AI agents?▼

Context passing and state persistence for parallel AI agents are managed through a virtual machine model. This approach handles agent lifecycles and explicit control flow constructs to ensure deterministic execution across your multi-agent systems.

Can I dynamically compose AI agents using imports in my workflow automation?▼

Yes, you can dynamically compose AI agents via imports within your workflow automation. The declarative programming language supports explicit control flow constructs and dynamic agent composition to build flexible multi-agent systems.

What's the best way to create deterministic, repeatable processes for LLM orchestration?▼

The best way to create deterministic, repeatable processes for LLM orchestration is using a declarative programming language. It defines structured workflows that manage agent behavior and data flow, preventing unpredictable AI task execution.

Related Skills

Explore More Software Engineering Skills→
MakisuoMakisuo
1.6k

clickhousectl-local-dev

Install and configure a local ClickHouse environment with clickhousectl.

Community
Intermediate
Team-HirealTeam-Hireal

prose

Define and execute multi-agent workflows using the OpenProse declarative language.

Community
Advanced
bykoleksii-hardobykoleksii-hardo

latent-briefing

Share memory at the representation level to reduce redundant context in multi-agent systems.

Community
Advanced
frames-engineeringframes-engineering
4

open-prose

Define and execute multi-agent workflows with structured syntax.

Official
Advanced