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Awesome-Prompt-Engineering: Boost AI Prompts

Get curated resources for prompt engineering with GPT and more, for startup founders, with 6.0k+ GitHub stars.
intermediate⏱ 30 minutesπŸ’΅ Free (self-hosted)
6,227 stars742 forksTypeScriptHealth Score 8/10Updated 8/5/2026100% free Β· 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
  • β€’When you need to optimize prompts for your chatbot or virtual assistant
  • β€’When you want to explore the capabilities and limitations of large language models
  • β€’When you need inspiration for designing effective prompts for your specific use case
Quick start
  1. 1Explore the `README.md` file for an introduction to prompt engineering and the resources provided
  2. 2Browse the `contents` section for a categorized list of resources, including papers, tutorials, and tools
  3. 3Check the `contributing.md` file for guidelines on how to contribute to the repository
  4. 4Search for specific topics or keywords in the `README.md` file using `Ctrl + F` or `Cmd + F`
  5. 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
How Awesome-Prompt-Engineering: Boost AI Prompts works
Codeflow
Free to inspect

Awesome-Prompt-Engineering: Boost AI Prompts is a medium TypeScript project (~3.2k lines across 38 code files). Expect some technical setup β€” comfortable with a terminal, or ask a developer. Last commit this month, Apache-2.0 license, no tests found.

Size
Medium codebase
~3.2k lines Β· 38 code files Β· 27 min skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
TypeScript
No API keys detected
TypeScript 95%Python 4%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here β€” what it does and how to install it
  2. 2
    website/src/app/layout.tsx
    Inside website/src/ β€” the main logic begins here
What's in each folder
website/src/Core code β€” the actual logic35 files
_source/Folder4 files
scripts/Helper scripts1 files
website/public/Images & static assets6 files
.github/CI / automation (GitHub Actions)2 files
READMENo tests foundDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
promptslab
Language
TypeScript
Category
prompt
Published
2/9/2023

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