POML Learning Guide

A comprehensive guide for learning and experimenting with POML (Prompt Markup Language).

Overview

This repository contains learning materials, examples, and experiments for mastering POML syntax and best practices.

Project Structure

poml-learning-guide/
├── prompts/                # POML template files
├── data/                   # Sample data and datasets for experiments
├── documents/              # Learning notes and documentation
│   └── sample-notes.txt    # Key concepts and best practices
└── images/                 # Image assets and media files

Key POML Features

• Variables: Dynamic content with {{variableName}}
• Lists: Multiple formatting styles (decimal, star, bullet)
• Images: Media references with <img src="path" />
• Documents: External file inclusion with <document src="path" />
• Conversations: Chat-style interaction templates

Getting Started

1. Check prompts/ folder for POML template examples
2. Explore the documents/ folder for learning materials
3. Use data/ folder for sample datasets and test data
4. Store images in the images/ folder
5. Experiment with different POML syntax patterns
6. Test templates with various AI models

Best Practices

• Organize assets in dedicated folders
• Use descriptive variable names
• Keep prompts modular and reusable
• Store test data in the data/ folder
• Test across different AI models

Experiments

• Multi-step workflow creation
• Conversation template building
• Dynamic content generation with data files
• Cross-model compatibility testing
• Data-driven prompt variations