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Organize Reusable Prompt Workflows With Poml

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Use Microsoft's POML to turn advanced prompts into structured, reusable prompt assets with markup, data components, templating, styling, SDK rendering, and VS Code testing.

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  • Added September 2, 2026
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Scanned September 2, 2026

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SKILL.md
---
name: "Organize reusable prompt workflows with POML"
slug: "organize-reusable-prompt-workflows-with-poml"
description: "Use Microsoft's POML to turn advanced prompts into structured, reusable prompt assets with markup, data components, templating, styling, SDK rendering, and VS Code testing."
github_stars: 4859
verification: "security_reviewed"
source: "https://github.com/microsoft/poml"
author: "Microsoft"
publisher_type: "open_source"
category: "Templates & Workflows"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "microsoft/poml"
  github_stars: 4859
  npm_package: "pomljs"
  npm_weekly_downloads: 714
---

# Organize reusable prompt workflows with POML

Use Microsoft's POML to turn advanced prompts into structured, reusable prompt assets with markup, data components, templating, styling, SDK rendering, and VS Code testing.

## Prerequisites

POML VS Code extension, Python poml package, or npm pomljs package; source-controlled prompt files; configured LLM provider settings for interactive testing

## Installation

Use the upstream install or setup path that matches your environment:
- npm install pomljs
- pip install poml
- For development or local installation, you might use pip install -e . from a cloned repository.

Requirements and caveats from upstream:
- **Software Development Kits (SDKs)**: Offers SDKs for Node.js (JavaScript/TypeScript) and Python for seamless integration into various application workflows and popular LLM frameworks.
- [mini-poml-rs](https://github.com/linmx0130/mini-poml-rs) – Experimental Rust-based POML renderer for environments without JavaScript or Python interpreters.
- [ai-chatbot-with-python-and-angular](https://github.com/hereandnowai/ai-chatbot-with-python-and-angular) – A chatbot built with Python and Angular (version 20), utilizing POML for prompting and the Langchain framework...

Basic usage or getting-started notes:
- **Structured Prompting Markup**: Employs an HTML-like syntax with semantic components such as <role>, <task>, and <example> to encourage modular design, enhancing prompt readability, reusability, and maintainability.
- Here's a very simple POML example. Please put it in a file named example.poml. Make sure it resides in the same directory as the photosynthesis_diagram.png image file.
- xml

- Source: https://github.com/microsoft/poml
- Extracted from upstream docs: https://raw.githubusercontent.com/microsoft/poml/HEAD/README.md

## Documentation

- https://microsoft.github.io/poml/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/organize-reusable-prompt-workflows-with-poml/)

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