# dbt charts

> Ask a question, get a board. dbt charts is an open, dbt-native language for dashboards: the query, charts, and layout of a board in one YAML file, versioned in git, validated in CI, rendered by the open-source `dct` CLI, and hosted on dbtcharts.com.

An agent that has never used dbt charts starts here, in a shell:

    uv tool install dbt-charts && dct skills intro

`dct skills intro` explains the tool, the shortest path from data to a rendered board, and which skill to read next. The reference lives in the same CLI (`dct docs`, `dct examples`, `dct skills`) and on the docs site below.

## Docs

- [Documentation index](https://docs.dbtcharts.com/llms.txt): the docs site's own llms.txt, with every reference page
- [Quick guide](https://docs.dbtcharts.com/quick-guide/): install, `dct init`, the board syntax, render and serve
- [CLI and MCP for AI assistants](https://docs.dbtcharts.com/cli/ai-cli-and-mcp/): the `dct` CLI versus the MCP server, and how skills reach each
- [Cloud getting started](https://docs.dbtcharts.com/cloud/getting-started/): publish a repository's boards to dbtcharts.com

## Product

- [The language](https://dbtcharts.com/language/): dashboards you can code review, built up from a four-line chart
- [BI built backwards](https://dbtcharts.com/bi/): dbt charts Cloud, the hosted product
- [Pricing](https://dbtcharts.com/pricing/)
- [Blog](https://dbtcharts.com/blog/): notes on the language, the renderer, and shipping BI as code. Its feed is at [/blog/index.xml](https://dbtcharts.com/blog/index.xml)
- [Sign up](https://dbtcharts.com/accounts/signup/): a dbtcharts.com account, created at the same URL `dct cloud login` opens

## Source

- [dbt-labs/dbt-charts on GitHub](https://github.com/dbt-labs/dbt-charts): the open-source engine and CLI
- [dbt-charts on PyPI](https://pypi.org/project/dbt-charts/)