databricks-aibi-dashboards

Create and update Databricks AI/BI dashboards with SQL validation and deployment.

Updated Mar 10, 2026

Search Tags:#dashboard #data analysis #sql #visualization #databricks #aibi

Ready to run

npx skills add https://github.com/robkisk/coding-agents-databricks-app --skill databricks-aibi-dashboards-robkisk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: databricks-aibi-dashboards
Source: https://github.com/robkisk/coding-agents-databricks-app/tree/main/.claude/skills/databricks-aibi-dashboards
Command: npx skills add https://github.com/robkisk/coding-agents-databricks-app --skill databricks-aibi-dashboards-robkisk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation and deployment of Databricks AI/BI dashboards, ensuring data accuracy and visual integrity through a rigorous validation process.

Core Features & Use Cases

Guided Dashboard Creation: Follows a strict workflow for building dashboards, from schema retrieval to query testing and deployment.
Mandatory Validation: Enforces testing of all SQL queries via execute_sql before dashboard creation to prevent errors.
Use Case: A data analyst needs to create a sales performance dashboard. They use get_table_details to understand the sales schema, write SQL queries for key metrics, test each query with execute_sql, and then use create_or_update_dashboard to deploy the validated dashboard.

Quick Start

Use the databricks-aibi-dashboards skill to create a new dashboard named 'Sales Performance Overview' using the provided SQL queries and layout specifications.

Frequently Asked Questions about databricks-aibi-dashboards

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

FAQPage Schema

How do I create Databricks AI/BI dashboards with validated SQL queries?▼

You create Databricks AI/BI dashboards by following a structured workflow: retrieve table schemas, validate SQL queries via execute_sql, and deploy using create_or_update_dashboard to ensure data accuracy and widget functionality.

What is the workflow for building data visualization dashboards in Databricks?▼

The dashboard building workflow involves schema retrieval, SQL query testing, and dashboard deployment. It mandates executing SQL to validate queries before deployment, ensuring data accuracy and visual integrity.

Do I need a Databricks SQL Warehouse to deploy AI/BI dashboards?▼

Yes, you need a Databricks SQL Warehouse. The dashboard creation process integrates with Databricks SQL Warehouses to execute queries and host the deployed AI/BI dashboards.

Why does my Databricks dashboard creation fail without query validation?▼

Dashboard creation fails without query validation because the workflow mandates testing all SQL queries via execute_sql before deployment. This prevents errors and ensures data accuracy within the dashboard widgets.

Can I update existing data analysis dashboards on Databricks without breaking widgets?▼

You can update existing data analysis dashboards using create_or_update_dashboard. The workflow enforces SQL validation beforehand, ensuring widget functionality and visual integrity remain intact during updates.