---
title: AI onboarding in Elasticsearch projects
description: AI onboarding is a skill you can invoke in your IDE, CLI, or directly within your Elastic deployment using Elastic Agent Builder. This skill enables an...
url: https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/6486/solutions/elasticsearch-solution-project/ai-onboarding
products:
  - Elastic Cloud Serverless
  - Elasticsearch
  - Kibana
applies_to:
  - Elastic Cloud Serverless: Generally available
  - Elastic Stack: Generally available since 9.4
---

# AI onboarding in Elasticsearch projects
<agent-skill url="https://github.com/elastic/agent-skills/blob/main/skills/elasticsearch/elasticsearch-onboarding">
  A skill is available to help AI agents with this topic.
  This skill guides users through search concepts and helps create a working search use case.`npx skills add elastic/agent-skills@elasticsearch-onboarding`
</agent-skill>

**AI onboarding** is a skill you can invoke in your IDE, CLI, or directly within your Elastic deployment using [Elastic Agent Builder](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/6486/explore-analyze/ai-features/elastic-agent-builder). This skill enables an AI agent to guide you from an initial idea for your use case to a working search experience, using natural language.
The agent asks what you’re building, understands your data, recommends the right approach, and generates a working implementation. This helps you get started immediately without reading documentation or creating templates.
Along the way, it explains key Elasticsearch concepts such as indices, mappings, and queries, so you learn while building.
AI onboarding helps you:
- **Get to value faster**: go from idea to a working search experience in minutes, not days
- **Build the right solution**: receive recommendations tailored to your use case and data
- **Learn by doing**: understand Elasticsearch concepts as part of the workflow
- **Avoid common pitfalls**: the assistant explains decisions and validates key steps

AI onboarding uses a guided, conversational flow that adapts to your use case.
It starts by understanding your intent, then analyzes your data and requirements.
Based on this, it recommends an appropriate search approach and guides you through implementation, including mappings, indexing, and queries.

## Get started with AI onboarding

When you start a new Elasticsearch project, the **Getting started** page opens. To access it later, use the **Getting started** menu.
![AI onboarding paths](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/6486/solutions/images/ai-onboarding-paths.png)

You can choose between two onboarding paths:

### Use your IDE or CLI

Install Elastic onboarding skills in your preferred coding assistant (for example, Cursor or Claude Code):
1. Click **Copy prompt**.
2. Copy the generated prompt.

![Invoke the AI onboarding skill directly](https://docs-v3-preview.elastic.dev/elastic/docs-content/pull/6486/solutions/images/ai-onboarding-copy-prompt.png)