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RamVegiraju
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databricks-aibi-dashboards

Validate SQL queries before deploying Databricks AI/BI dashboards.

4|4|Updated Jan 5, 2026
Search Tags:#validation#queries#ai#dashboard#data-visualization#databricks
One-click install
npx skills add https://github.com/RamVegiraju/databricks-samples --skill databricks-aibi-dashboards-ramvegiraju
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-aibi-dashboards
Source: https://github.com/RamVegiraju/databricks-samples/tree/main/.claude/skills/databricks-aibi-dashboards
Command: npx skills add https://github.com/RamVegiraju/databricks-samples --skill databricks-aibi-dashboards-ramvegiraju

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design and deploy reliable Databricks AI/BI dashboards by enforcing every dataset SQL query is tested before rendering, reducing failures and debugging time.

Core Features & Use Cases

  • Robust validation workflow: run get_table_details and execute_sql to verify schemas and queries before building dashboards.
  • Deterministic deployment: assemble a dashboard JSON and deploy with create_or_update_dashboard, ensuring versioned and consistent widgets.
  • Real-world use: create dashboards across datasets with enforced checks, then publish via get_best_warehouse and related MCP tools.

Quick Start

Run a starter workflow: validate all SQL with execute_sql, assemble the dashboard JSON, and deploy via create_or_update_dashboard.

Frequently Asked Questions about databricks-aibi-dashboards

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

FAQPage Schema
How do I validate Databricks AI/BI dashboard SQL queries before deployment?▼

To validate Databricks AI/BI dashboard SQL queries before deployment, run get_table_details and execute_sql to verify schemas and test datasets, ensuring data-type checks pass before rendering widgets.

What is the best way to deploy deterministic AI dashboards on Databricks?▼

The best way to deploy deterministic AI dashboards on Databricks is to assemble a versioned dashboard JSON with proper widget encodings and dataset definitions, then deploy using create_or_update_dashboard.

Why does my Databricks dashboard fail when rendering multiple datasets?▼

Databricks dashboards fail when rendering multiple datasets if strict validation workflows are skipped, leading to untested SQL queries and incorrect data-type checks causing rendering failures.

Can I use execute_sql to test dataset queries for Databricks dashboards?▼

Yes, you can use execute_sql to test dataset queries for Databricks dashboards by running the queries to verify schemas and ensure deterministic rendering before assembling the dashboard JSON.

Do I need to run get_table_details before creating an AI/BI dashboard in Databricks?▼

Yes, you need to run get_table_details before creating an AI/BI dashboard in Databricks to verify table schemas and enforce the strict validation workflow required for deterministic deployment.

What tools are required for versioned deployment of Databricks AI/BI dashboards?▼

Versioned deployment of Databricks AI/BI dashboards requires get_best_warehouse and create_or_update_dashboard tools to publish validated dashboards with consistent widget encodings and dataset definitions.

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