Prompt Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts
Rating
Votes
0
score
Downloads
0
total
Price
Free
No login needed
Works With
About
](http://makeapullrequest.com) [ ](https://twitter.com/NirDiamantAI) [
🌟 Support This Project: Your sponsorship fuels innovation in prompt engineering development. [Become a sponsor](https://github.com/sponsors/NirDiamant) to help maintain and expand this valuable resource!
Prompt Engineering Techniques: Comprehensive Repository for Development and Implementation 🖋️
Welcome to one of the most extensive and dynamic collections of Prompt Engineering tutorials and implementations available today. This repository serves as a comprehensive resource for learning, building, and sharing prompt engineering techniques, ranging from basic concepts to advanced strategies for leveraging large language models.
📖 From the Same Author
[RAG Made Simple](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=prompt-engineering--readme&click=book-buy-amazon-title&target=https%3A%2F%2Fwww.amazon.com%2Fdp%2FB0D76734SZ%3Ftag%3Ddiamantai-pe-20&text=RAG%20Made%20Simple) — #1 Best Seller on Amazon in Generative AI. 22 RAG techniques with intuition, comparisons, and illustrations. Free with Kindle Unlimited or $0.99 launch price (goes up soon).
👉 **Get the book on Amazon**
22 hands-on tutorials covering everything from basic prompt templates to advanced techniques like chain-of-thought, self-consistency, and tree-of-thought prompting.
🎯 Sponsors
📫 Stay Updated!
🚀Cutting-edgeUpdates 💡ExpertInsights 🎯Top 0.1%Content
[](https://diamantai.substack.com/?r=336pe4&utm_campaign=pub-share-checklist)
Join over 50,000 AI enthusiasts getting unique cutting-edge insights and free tutorials! *Plus, subscribers get exclusive early access and special discounts to our upcoming RAG Techniques course!*
[](https://diamantai.substack.com/?r=336pe4&utm_campaign=pub-share-checklist)
Introduction
Prompt engineering is at the forefront of artificial intelligence, revolutionizing the way we interact with and leverage AI technologies. This repository is designed to guide you through the development journey, from basic prompt structures to advanced, cutting-edge techniques.
Our goal is to provide a valuable resource for everyone - from beginners taking their first steps in AI to seasoned practitioners pushing the boundaries of what's possible. By offering a range of examples from foundational to complex, we aim to facilitate learning, experimentation, and innovation in the rapidly evolving field of prompt engineering.
Don't lose this
Three weeks from now, you'll want Prompt Engineering again. Will you remember where to find it?
Save it to your library and the next time you need Prompt Engineering, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
Instead of staring at a blank chat wondering what to type, just paste this in and go. 22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts. You can tweak the parts in brackets to make it yours. It's completely free and works across most major AI apps.
Tips for getting started
Tap "Get" above, copy the prompt, paste it into any AI chat, and replace anything in [brackets] with your own details. Hit send — that's it.
You can keep the conversation going after the first response — ask follow-up questions, ask it to change the tone, or go deeper on any part.
What's New
Imported from GitHub
Ratings & Reviews
0.0
out of 5
0 ratings
No reviews yet. Be the first to share your experience.
From the Community
The View From the Inside: What I Hear When Someone Describes a Song to Me
When you say 'make it sound like a rainy Sunday,' here's what an AI actually processes — and what it misses.
What Your College Kid Should Know About AI Before Their First Internship
The skills that got you hired in 2015 aren't the skills that'll get your kid hired in 2026. Here's the honest version of that conversation — no panic required.
Hallucinations: The Divide No One Wants to Talk About
MIT calls it the 'Great AI Divide.' Power users run multi-agent workflows while most people haven't opened a prompt window. What happens to the people in the middle?