prompt

Prompt-Engineering-Guide: Improve AI Models

Name: Prompt-Engineering-Guide: Improve AI Models
Author: dair-ai

Get resources for prompt engineering and AI agents. For founders working with language models.

intermediate⏱ 1-2 hours💵 Free (open-source)

76,983 stars8,461 forksMDXHealth Score 8/10Updated 3/11/2026100% free · open source

What it is

Develop guides and papers on prompt engineering, context engineering, RAG, and AI Agents.

What you can make with it

Automation scripts that integrate with AI Agents like Claude or Gemini, enabling tasks such as generating product descriptions based on product data from Amazon.

How it helps

It helps developers create high-quality prompts for AI models, reducing trial and error, and enabling more accurate and actionable results.

Real use case example

"A founder wants to automate the process of generating social media posts for a new product launch. They use the prompt engineering guide to create a high-quality prompt for their AI model, which generates a engaging post. The founder saves time and ensures consistency in their branding."

If you're new

For beginners who are new to AI development and want to learn the basics of prompt engineering.

If you're senior

For experienced AI developers and researchers looking to optimize their prompt engineering skills.

Common confusion cleared up

Some users may think this skill only applies to specific AI models, but it's designed to be a tool-agnostic resource for general prompt engineering knowledge.

Best inside these AI tools

Claude DesktopSelf-hostedGemini Code Assist

Pairs with

Claude APIGemini APIAmazon product data API

Why we list it on WorkflowStacks: It's included as a community-driven resource, providing a wide range of materials and guidance for users.

What it does

The Prompt-Engineering-Guide provides a comprehensive collection of resources, including guides, papers, lessons, and notebooks, to help with prompt engineering, context engineering, and AI agents.

Install / run

Clone the repository using the command `git clone https://github.com/dair-ai/Prompt-Engineering-Guide.git`

When to use it

•When you need to fine-tune your AI model's prompts for better performance
•When you want to learn about the latest techniques in prompt engineering and context engineering
•When you're working on a project that involves AI agents and need resources to get started

Quick start

1Explore the `guides` directory for tutorials and lessons on prompt engineering
2Check out the `papers` directory for research papers on the topic
3Look at the `notebooks` directory for example code and notebooks
4Read the `README.md` file for an overview of the resources available
5Visit the `https://github.com/dair-ai/Prompt-Engineering-Guide` GitHub page for more information and updates

Ready-to-paste prompt

To get started with prompt engineering, try reading the `prompt-engineering.md` guide in the `guides` directory

Heads up: To fully utilize the resources in the Prompt-Engineering-Guide, you may need to have a basic understanding of AI and machine learning concepts, as well as familiarity with Markdown and GitHub

Saves to your device

Topics

agent

agents

ai-agents

chatgpt

deep-learning

generative-ai

language-model

llms

openai

prompt-engineering

rag

How Prompt-Engineering-Guide: Improve AI Models works

Codeflow

Free to inspect

Prompt-Engineering-Guide: Improve AI Models is mostly documents (1111 doc files, 24 small scripts) — something you read, not something you run. There is nothing to install. Last commit 5 months ago, MIT license.

Size

Mostly documents

1111 documents · 24 small scripts · days to read — use, don't read

Setup

No code to run

It's prompts / instructions. Copy them into your AI tool.

Runs on

Inside your AI tool

Helper scripts use Node.js

MDX 94%Jupyter Notebook 4%TypeScript 1%

Where to start reading