> For the complete documentation index, see [llms.txt](https://learn.mechanic.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.mechanic.dev/core/tasks/advanced-settings/javascript.md).
# JavaScript
Shopify allows apps to inject JavaScript into the online storefront. (This is facilitated by [ScriptTag](https://shopify.dev/docs/admin-api/rest/reference/online-store/scripttag) in the Shopify API.)
Mechanic supports this by allowing each task to specify its own JavaScript, to be injected into the online storefront.
Here, the developer can add in their own JavaScript code, taking advantage of Liquid for mixing in data from the current store, or from the current task's options.
{% hint style="info" %}
A task's JavaScript content only has access to to the `shop` and `options` Liquid variables. The rendering context is similar to that of [task subscriptions](/core/tasks/subscriptions.md#using-liquid); Liquid code here does not have access to any data related to events, and cannot dynamically respond to any information about the visitor's current request.
{% endhint %}
---
# 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://learn.mechanic.dev/core/tasks/advanced-settings/javascript.md?ask=&goal=
```
`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.