> For the complete documentation index, see [llms.txt](https://docs.skyone.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skyone.cloud/english/skyone-studio/artificial-intelligence/agents/ai-agent-publication-channels/publishing-agent-flows.md).

# Publishing Agent Flows

### **Publication Channel**

In this section, you will learn how to publish workflows using the different available channels. We will guide you step by step for each type of publication.

### **Workflows Available in Skyone Studio**

Currently, **Skyone Studio** offers two main types of workflows for interacting with the AI agent: **Chats** and **Business Intelligence (BI)**.

**1. Chats**

In this mode, users can interact directly with the virtual agent, sending questions and receiving answers in real time. The available communication channels are:

* **WhatsApp**
* **Private Chat** (Skyone Studio internal interface)
* **Slack**

These channels allow quick conversations, ideal for answering questions, obtaining specific information, or performing simple interactions with the assistant.

**2. Business Intelligence (BI)**

Here, the agent is integrated with data analysis tools, allowing users to ask questions in natural language directly about the data and view answers through dashboards and interactive reports. Currently, Skyone Studio offers integration with:

* **Power BI**

This workflow is especially useful for making data analysis more accessible, allowing any user—even without advanced BI knowledge—to explore insights and clarify questions about available reports.

* **Metabase**

Metabase is an open-source tool for exploring, visualizing, and sharing data easily. Integrated with Skyone Studio, it uses Data Warehouse information for queries and analyses.

* **New users:** Access is enabled automatically.
* **Existing users:** Access must be requested from support.

***

### **Workflows in Development (Coming Soon)**

We are working to expand interaction possibilities, including new channels and tools:

**Chats**

* **Google Chat**
* **Microsoft Teams**

These integrations will allow you to further extend the use of the virtual agent, connecting it to different corporate environments and analytical tools.


---

# 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://docs.skyone.cloud/english/skyone-studio/artificial-intelligence/agents/ai-agent-publication-channels/publishing-agent-flows.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.