> For the complete documentation index, see [llms.txt](https://options-docs-v2.avisplus.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://options-docs-v2.avisplus.io/get-started/key-terminology-simplified/option-set-template.md).

# Option Set template

Our app provides pre-designed option set templates that include options, option values, conditional logic, and other configurations. These templates are crafted based on thorough research to meet the unique requirements of various types of online stores.

These templates can help you save a lot of time and effort, especially if you’re not highly technical. We are excited to share with you these templates and continuously work on enhancing their design to better align with the needs of each store type.

{% hint style="info" %}
[How to create an option set for your product from a template](/building-options/step-2-create-option-sets/avis-option-set-template.md)
{% endhint %}

<figure><img src="/files/wAn3mrubwu61aKJOGeY0" alt=""><figcaption></figcaption></figure>


---

# 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, and the optional `goal` query parameter:

```
GET https://options-docs-v2.avisplus.io/get-started/key-terminology-simplified/option-set-template.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
