> For the complete documentation index, see [llms.txt](https://docs.snackprompt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.snackprompt.com/get-started.md).

# Get started

- [Quickstart](https://docs.snackprompt.com/get-started/quickstart.md): A quick guide to getting started with Snack Prompt, focusing on how to discover ready-made prompts on our public page and conduct your first interactions with AI.
- [Creating and Customizing: Prompt](https://docs.snackprompt.com/get-started/creating-prompt.md): Learn how to transform a blank page into an interactive tool. This guide teaches you how to structure, edit, and customize high-quality prompts using our editor.
- [Monetize your prompt](https://docs.snackprompt.com/get-started/monetize-your-prompt.md): Discover how to turn your creativity into profit. Learn how to set up your Stripe account and start selling your prompts securely.
- [Create a Simple 'Knowledge Base' using our Elements](https://docs.snackprompt.com/get-started/create-a-simple-knowledge-base-using-our-elements.md): Tutorial on how to use KMS (Knowledge Management System) to create structured knowledge bases that feed AI agents with their own data.
- [Templates](https://docs.snackprompt.com/get-started/templates.md): Learn how to create and use templates to save time, standardizing project structures and professional layouts for recurring use.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://docs.snackprompt.com/get-started.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.