# Awesome ChatGPT Prompts (English)

The [ChatGPT](https://chat.openai.com/chat) model is a large language model trained by [OpenAI](https://openai.com/) that is capable of generating human-like text. By providing it with a prompt, it can generate responses that continue the conversation or expand on the given prompt.

In this repository, you will find a variety of prompts that can be used with ChatGPT. We encourage you to [add your own prompts](https://github.com/f/awesome-chatgpt-prompts/edit/main/README.md) to the list, and to use ChatGPT to generate new prompts as well.

To get started, simply clone this repository and use the prompts in the README.md file as input for ChatGPT. You can also use the prompts in this file as inspiration for creating your own.

We hope you find these prompts useful and have fun using ChatGPT!

#### Using prompts.chat

[prompts.chat](https://prompts.chat/) is designed to provide an enhanced UX when working with prompts. With just a few clicks, you can easily edit and copy the prompts on the site to fit your specific needs and preferences. The copy button will copy the prompt exactly as you have edited it.

{% embed url="<https://prompts.chat/>" %}

[**View on GitHub**](https://github.com/f/awesome-chatgpt-prompts)

{% embed url="<https://github.com/olddoll/awesome-chatgpt-prompts>" %}

[**View on Hugging Face**](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts/)

{% embed url="<https://huggingface.co/datasets/fka/awesome-chatgpt-prompts>" %}

#### [View on Gumroad](https://fka.gumroad.com/l/art-of-chatgpt-prompting)

{% embed url="<https://fka.gumroad.com/l/art-of-chatgpt-prompting>" %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://wiki.aig123.com/chatgpt-tutorial/awesome-chatgpt-prompts-english.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.