databricks-dashboards

Generate Databricks AI/BI dashboards as lvdash.json definitions.

1|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/mats16/briclaude --skill databricks-dashboards
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-dashboards
Source: https://github.com/mats16/briclaude/tree/main/skills/databricks-dashboards
Command: npx skills add https://github.com/mats16/briclaude --skill databricks-dashboards

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Databricks AI/BI dashboards are typically defined in a structured JSON format. This skill automates producing consistent lvdash.json dashboard definitions that can be imported directly into Databricks Dashboards.

Core Features & Use Cases

  • Deterministic dashboard JSON generation for datasets, pages, and UI settings.
  • Standardized schema for datasets, pages, widgets, and frames to enable repeatable analytics workflows.
  • Use Case: rapidly bootstrap executive dashboards and operational dashboards by exporting ready-to-import lvdash.json files.

Quick Start

Create a minimal lvdash.json with a single dataset and a Summary page to bootstrap a Databricks dashboard.

Frequently Asked Questions about databricks-dashboards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate Databricks AI/BI dashboards as code?

Databricks AI/BI dashboards as code are generated by creating lvdash.json definitions that structure datasets, pages, widgets, and uiSettings. This produces deterministic JSON files ready for direct import into Databricks.

What is the lvdash.json schema for Databricks dashboards?

The lvdash.json schema for Databricks dashboards organizes pages, datasets, and widgets while enforcing specific requirements like 8-character hex IDs, pageType presence, and proper frame and query structures.

Can I automate operational dashboard creation in Databricks?

You can automate operational dashboard creation in Databricks by generating standardized lvdash.json files. This enables repeatable analytics workflows to rapidly bootstrap executive and operational dashboards without manual UI configuration.

Do I need dependencies to create lvdash.json files for Databricks?

No dependencies are required to create lvdash.json files for Databricks. The generation process applies the schema requirements directly to produce a minimal JSON file with a single dataset and a Summary page.

Why does my Databricks dashboard JSON import fail validation?

Databricks dashboard JSON imports fail validation when lvdash schema requirements are unmet, such as missing pageType attributes, incorrect frame structures, or IDs that are not 8-character hex values.

What's the best way to bootstrap a Databricks dashboard quickly?

The best way to bootstrap a Databricks dashboard quickly is to generate a minimal lvdash.json definition with a single dataset and a Summary page, creating a ready-to-import file for repeatable analytics workflows.