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andregit2026
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databricks-aibi-dashboards

Design and deploy Databricks AI/BI dashboards with tested SQL queries.

Updated Aug 23, 2026
Search Tags:#databricks#dashboard-design#dashboard-automation#sql-validation#ai-bi-dashboards#widget-constraints
One-click install
npx skills add https://github.com/andregit2026/Databricks_DQ_Business --skill databricks-aibi-dashboards-andregit2026
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-aibi-dashboards
Source: https://github.com/andregit2026/Databricks_DQ_Business/tree/main/.claude/skills/databricks-general-skill-aibi-dashboards
Command: npx skills add https://github.com/andregit2026/Databricks_DQ_Business --skill databricks-aibi-dashboards-andregit2026

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Databricks AI/BI dashboards often suffer from broken widgets and inconsistent visuals when SQL queries are untested or misaligned with widget encodings. This Skill provides a rigorous workflow to design, validate, and deploy dashboards with verified queries, proper dataset structures, and clear widget and filter guidelines.

Core Features & Use Cases

  • Enforces a mandatory testing workflow using execute_sql for every SQL query.
  • Guides dataset and widget configuration to ensure field mappings match exact encodings.
  • Supports global and page-level filters with explicit widget types and versions for reliable dashboards.
  • Use Case: A data analytics team builds a new AI/BI dashboard for revenue by region, validates every query, and deploys a production-ready dashboard with filters.

Quick Start

Test all SQL queries with execute_sql before deploying dashboards.

Frequently Asked Questions about databricks-aibi-dashboards

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

FAQPage Schema
How do I fix broken widgets in Databricks AI/BI dashboards?▼

Broken widgets in Databricks AI/BI dashboards occur when SQL queries are untested or misaligned with widget encodings. You can fix this by enforcing a validation workflow that tests every SQL query and ensures dataset field mappings match exact widget encodings.

How to build Databricks AI/BI dashboards with tested SQL queries?▼

To build Databricks AI/BI dashboards with tested SQL queries, execute a validation workflow using execute_sql for every query before deployment. This ensures proper dataset preparation, correct widget configuration, and error-free visuals.

Does Databricks AI/BI dashboard design support global and page-level filters?▼

Databricks AI/BI dashboard design supports both global and page-level filters. Proper configuration requires explicit widget types and versions to maintain consistent visuals and reliable filter usage across dashboard pages.

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

The best way to validate SQL before deploying Databricks dashboards is to use execute_sql for every query during dataset preparation. This strict validation workflow ensures correct field mappings and prevents deployment errors.

Why do my Databricks dashboard visuals show inconsistent data mappings?▼

Inconsistent visuals in Databricks dashboards happen when SQL queries are misaligned with widget encodings. Enforcing strict versioning, proper dataset structures, and clear widget guidelines ensures correct field mappings and consistent visuals.

Can I automate dashboard validation and structure for Databricks AI/BI?▼

You can automate dashboard validation for Databricks AI/BI by following a rigorous workflow that enforces mandatory SQL testing, versioning, and dashboard structure checks to ensure valid widgets and error-free deployment.

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