Get curated resources for prompt engineering with GPT and more, for startup founders, with 6.0k+ GitHub stars.
intermediate⏱ 30 minutes💵 Free (self-hosted)
6,131 stars717 forksTypeScriptQuality 8/10Updated 7/6/2026100% free · open source
What it is
Use pre-existing resources to train your Generative Pre-trained Transformer (GPT) with the right chat prompts.
What you can make with it
Custom AI models that can predict, generate, or classify text, like a chatbot for customer support.
How it helps
Use this skill to fine-tune your models for specific tasks, reducing errors and improving accuracy.
Real use case example
"A founder of a small e-commerce site uses pre-existing prompt templates to train a chatbot for customer support. The founder creates a template, uploads it to the library, and the model is ready to use within 30 minutes. Now the founder can handle frequent customer inquiries automatically, freeing up more time to focus on business growth."
If you're new
Pick this up when you want to experiment with AI models but don't know where to start.
If you're senior
Reach for this skill when you need to fine-tune a custom model for a specific use case, like text classification or text generation.
Common confusion cleared up
This skill doesn't train a GPT model from scratch, but rather uses pre-existing resources to fine-tune a model.
Best inside these AI tools
Claude DesktopAny AI Client
Pairs with
Claude APIGemini
Why we list it on WorkflowStacks: It's a free and open-source repository, making it a valuable resource in a competitive market.
What it does
Awesome-Prompt-Engineering provides a curated list of resources for prompt engineering with large language models like GPT, ChatGPT, and PaLM, helping startup founders improve their AI-powered applications
Install / run
Clone the repository using `git clone https://github.com/promptslab/Awesome-Prompt-Engineering.git`
When to use it
•When you need to optimize prompts for your chatbot or virtual assistant
•When you want to explore the capabilities and limitations of large language models
•When you need inspiration for designing effective prompts for your specific use case
Quick start
1Explore the `README.md` file for an introduction to prompt engineering and the resources provided
2Browse the `contents` section for a categorized list of resources, including papers, tutorials, and tools
3Check the `contributing.md` file for guidelines on how to contribute to the repository
4Search for specific topics or keywords in the `README.md` file using `Ctrl + F` or `Cmd + F`
5Visit the linked resources, such as research papers or GitHub repositories, to dive deeper into specific topics
Ready-to-paste prompt
Search for 'conversational AI' in the `README.md` file to find relevant resources and examples
Heads up: Note that some resources may require a GitHub account or specific permissions to access, and some linked repositories may have their own setup or installation requirements
Saves to your device
Topics
chatgpt
chatgpt-api
deep-learning
few-shot-learning
gpt
gpt-3
machine-learning
openai
prompt
prompt-based-learning
prompt-engineering
prompt-generator
prompt-learning
prompt-toolkit
prompt-tuning
promptengineering
text-to-image
text-to-speech
text-to-video
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.
5
top-level files
4
folders
547K
repo size
Apache-2.0
license
Key files
README.md
File tree
_source/
.github/
scripts/
website/
.DS_Store
code-of-conduct.md
contributing.md
LICENSE
README.md
Quick Actions
Details
Creator
promptslab
Language
TypeScript
Category
prompt
Published
2/9/2023
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