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prompt

Prompt-Engineering-Guide: Improve AI Models

Get resources for prompt engineering and AI agents. For founders working with language models.
intermediate⏱ 1-2 hours💵 Free (open-source)
75,321 stars8,178 forksMDXQuality 8/10Updated 6/5/2026100% 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
  1. 1Explore the `guides` directory for tutorials and lessons on prompt engineering
  2. 2Check out the `papers` directory for research papers on the topic
  3. 3Look at the `notebooks` directory for example code and notebooks
  4. 4Read the `README.md` file for an overview of the resources available
  5. 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
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

14
top-level files
9
folders
80.8M
repo size
MIT
license
Key files
next.config.js
package.json
README.md
theme.config.tsx
tsconfig.json
File tree
.github/
ar-pages/
components/
guides/
img/
lecture/
notebooks/
pages/
public/
.gitignore
CITATION.cff
CLAUDE.md
infographic-review.html
LICENSE.md
middleware.js
next-env.d.ts
next.config.js
package-lock.json
package.json
pnpm-lock.yaml
README.md
theme.config.tsx
tsconfig.json
Quick Actions
Details
Creator
dair-ai
Language
MDX
Category
prompt
Published
12/16/2022

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