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

# Operator Agent

- [Operator Agent](https://docs.lleverage.ai/operator-agent/operator-agent.md): The Operator Agent is your AI coworker 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): Open the agent, explore its home screen, configure how it behaves, and see it work through your first 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 can start from chat, schedules, messaging channels, or workflows - and you can manage them all from the Agent Sessions page.
- [Skills](https://docs.lleverage.ai/operator-agent/skills.md): Skills are reusable capabilities that extend what the agent can do, bundling instructions, connections, workflows, knowledge, data, and files into repeatable tasks.
- [Using Skills](https://docs.lleverage.ai/operator-agent/skills/using-skills.md): Browse your project's skills, install ready-made ones from the Skill Library, and run them in agent sessions.
- [Creating Skills](https://docs.lleverage.ai/operator-agent/skills/creating-skills.md): Author skills for the agent: write instructions, add components, review the agent's proposed changes, and manage drafts and 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.
- [Memory](https://docs.lleverage.ai/operator-agent/memory.md): The agent builds a long-term memory of your project - facts, preferences, and knowledge it learns from sessions and files - so it carries context between conversations and gets more useful over time.
- [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
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.lleverage.ai/operator-agent.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.