# Operator Agent

- [Operator Agent](https://docs.lleverage.ai/operator-agent/operator-agent.md): The Operator Agent is your AI assistant inside Lleverage — chat with it, give it tasks, upload files, and let it work with your integrations, knowledge bases, and skills to get things done.
- [Getting Started](https://docs.lleverage.ai/operator-agent/getting-started.md): Send your first message, upload a file, and see the agent work through a task in real time.
- [Chat & Sessions](https://docs.lleverage.ai/operator-agent/chat-and-sessions.md): Each conversation with the agent is a session. Sessions persist, stay private to you, and can be continued later.
- [Skills](https://docs.lleverage.ai/operator-agent/skills.md): Skills are reusable tool packages that extend what the agent can do — bundling instructions, integrations, knowledge bases, and data tables into repeatable capabilities.
- [Using Skills](https://docs.lleverage.ai/operator-agent/skills/using-skills.md): Browse available skills, enable or disable them per project, and understand how the agent selects and runs them.
- [Creating Skills](https://docs.lleverage.ai/operator-agent/skills/creating-skills.md): Author new skills for the agent — add instructions, connect integrations and knowledge bases, publish, and manage versions.
- [File Handling](https://docs.lleverage.ai/operator-agent/file-handling.md): Upload documents, spreadsheets, images, and other files for the agent to process. The agent reads, transforms, and generates files in a secure cloud sandbox.
- [Integrations](https://docs.lleverage.ai/operator-agent/integrations.md): Connect external apps so the agent can use them as tools — send emails, update records, query systems, and more.
- [Knowledge Bases](https://docs.lleverage.ai/operator-agent/knowledge-bases.md): Give the agent access to your documents and reference data through knowledge bases — it searches and retrieves relevant information automatically.
- [Tips & Best Practices](https://docs.lleverage.ai/operator-agent/tips-and-best-practices.md): Get the most out of the Operator Agent — effective prompting, reading the agent's output, and knowing when to use the agent vs. a workflow.


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# 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://docs.lleverage.ai/operator-agent.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.