databao 0.5.1.dev4

QA agent for the Databao platform

Databao CLI

Databao is a data assistant in Slack for all your teams, with answers you can trust.

Databao CLI is the local toolkit for building and maintaining the semantic layer that powers the assistant for dbt projects.

Databao • Quickstart • Docs

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Prerequisites

1. Python 3.11+
2. Claude Code
3. GitHub account
4. Git repository with your dbt project

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Installation

Databao CLI is available on PyPI and can be installed with uv, pip, or another package manager.

Using uv

uv add databao

Using pip

pip install databao

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Quickstart

1. In the terminal, navigate to the root of your dbt project.

2. Launch Databao:

   databao
   

3. In the browser tab that opens, click Log in with GitHub and follow the prompts.

4. In the terminal, select Start Databao in Claude Code:

   ? What would you like to do? (Use arrow keys)
   » Start Databao in Claude Code
   Advanced settings
   Quit
   

5. When asked by Claude, agree to use the skill and follow the prompts to generate the semantic layer.

6. When the semantic layer is generated, Claude will offer you to commit and push it to your GitHub repository.

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Databao • Docs