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alessandro9110
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databricks-aibi-dashboards

Create and update Databricks AI/BI dashboards with validated SQL queries and JSON widget configurations.

4|2|Updated Feb 16, 2026
Search Tags:#data visualization#validation#dashboard#sql#bi#databricks
One-click install
npx skills add https://github.com/alessandro9110/Speech-To-Text-With-Databricks --skill databricks-aibi-dashboards-alessandro9110
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-aibi-dashboards
Source: https://github.com/alessandro9110/Speech-To-Text-With-Databricks/tree/main/.claude/skills/databricks-aibi-dashboards
Command: npx skills add https://github.com/alessandro9110/Speech-To-Text-With-Databricks --skill databricks-aibi-dashboards-alessandro9110

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (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 strict validation process.

Core Features & Use Cases

  • Guided Dashboard Creation: Follows a mandatory validation workflow to prevent errors.
  • SQL Query Testing: Integrates execute_sql for rigorous query verification before deployment.
  • Widget Configuration: Provides detailed guidelines for various widget types (counters, tables, charts, filters) including versioning, layout, and field matching.
  • Use Case: A data analyst needs to create a dashboard visualizing sales performance. They use get_table_details to understand the schema, write SQL queries, test them with execute_sql, and then use the Skill's JSON structure and guidelines to build and deploy interactive charts and KPIs.

Quick Start

Use the databricks-aibi-dashboards skill to create a new Databricks AI/BI dashboard by providing the dashboard JSON definition.

Frequently Asked Questions about databricks-aibi-dashboards

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

FAQPage Schema
How do I build Databricks AI/BI dashboards without data visualization errors?▼

To build Databricks AI/BI dashboards accurately, use a validated workflow that inspects schemas, tests SQL queries via execute_sql, and applies strict JSON configuration for widgets to ensure data integrity and visual correctness.

What is the best way to validate SQL queries before deploying Databricks dashboards?▼

Validating SQL queries before deploying Databricks dashboards requires executing them through execute_sql to verify results and ensure accurate data retrieval prior to finalizing widget configuration and dashboard deployment.

How do I configure different widget types in a Databricks AI/BI dashboard?▼

Configuring Databricks AI/BI dashboard widgets involves defining precise JSON structures for counters, tables, charts, and filters, while matching data fields and managing layout to maintain visual integrity across versions.

Can I automate the deployment of Databricks AI/BI dashboards using SQL?▼

You can automate Databricks AI/BI dashboard deployment by using the create_or_update_dashboard function after completing schema inspection, SQL query validation, and JSON widget configuration.

Why should I test SQL queries before creating charts in Databricks AI/BI?▼

Testing SQL queries before creating charts in Databricks AI/BI prevents data inaccuracies by verifying query outputs through execute_sql, ensuring that counters, tables, and visualizations reflect validated information.

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