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databricks-aibi-dashboards

Validate Databricks AI/BI dashboard templates for widget-query alignment and deployment.

5|6|Updated Jan 26, 2026
Search Tags:#automation#monitoring#deployment#dashboards#visualization#databricks#lakeview
One-click install
npx skills add https://github.com/databricks-solutions/vibe-coding-workshop-template --skill databricks-aibi-dashboards-databricks-solutions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-aibi-dashboards
Source: https://github.com/databricks-solutions/vibe-coding-workshop-template/tree/main/data_product_accelerator/skills/monitoring/02-databricks-aibi-dashboards
Command: npx skills add https://github.com/databricks-solutions/vibe-coding-workshop-template --skill databricks-aibi-dashboards-databricks-solutions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses common issues in Databricks AI/BI (Lakeview) dashboard development, preventing visualization errors, deployment failures, and maintenance headaches by enforcing best practices for widget-query alignment, formatting, and deployment.

Core Features & Use Cases

  • Production-Grade Patterns: Provides proven templates and validation for creating robust dashboards.
  • Error Prevention: Catches common issues like column mismatches and incorrect formatting before deployment.
  • Automated Deployment: Supports an UPDATE-or-CREATE pattern for seamless deployment.
  • Use Case: A data team needs to build a Sales Performance Dashboard for executives. This Skill ensures the dashboard is visually consistent, metrics are accurate, and it can be reliably deployed and updated via API.

Quick Start

Use the databricks-aibi-dashboards skill to create a new AI/BI dashboard in Databricks, adding a KPI counter for total revenue and a line chart for daily revenue trends.

Frequently Asked Questions about databricks-aibi-dashboards

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

FAQPage Schema
How do I prevent visualization errors in Databricks AI/BI dashboards?▼

Prevent Databricks AI/BI dashboard visualization errors by enforcing widget-query alignment, validating column mappings, and applying correct number formatting before deployment. Production-grade patterns catch column mismatches and incorrect chart scale properties early.

What is the best way to automate Databricks Lakeview dashboard deployment?▼

Automate Databricks Lakeview dashboard deployment using an UPDATE-or-CREATE pattern via API. This approach ensures seamless updates and reliable version control, preventing deployment failures through automated validation scripts and JSON templates.

How do I configure widgets and parameters for AI/BI dashboards?▼

Configure AI/BI dashboard widgets and parameters by aligning query inputs with widget types and setting proper monitoring table patterns. Correct parameter configuration ensures self-service analytics function accurately across filtering and drilling operations.

Can I deploy production-grade dashboards in Databricks without manual fixes?▼

Yes, you can deploy production-grade Databricks dashboards without manual fixes by using validation scripts that check widget-query alignment and formatting. Automated deployment workflows apply proven JSON templates to ensure visual consistency and metric accuracy.

Why does my Databricks Lakeview dashboard show incorrect chart scales or metrics?▼

Databricks Lakeview dashboards show incorrect chart scales or metrics due to misconfigured chart scale properties and improper number formatting. Applying production-grade validation patterns resolves these issues by enforcing formatting standards and widget-query alignment.

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