databricks-docs

Fetch Databricks documentation pages from the llms.txt index.

Updated May 20, 2026
One-click install
npx skills add https://github.com/ice-droid-99/BI-Dashboard-Generation-Agent-in-Databricks- --skill databricks-docs-ice-droid-99
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-docs
Source: https://github.com/ice-droid-99/BI-Dashboard-Generation-Agent-in-Databricks-/tree/main/.gemini/skills/databricks-docs
Command: npx skills add https://github.com/ice-droid-99/BI-Dashboard-Generation-Agent-in-Databricks- --skill databricks-docs-ice-droid-99

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Databricks feature and API uncertainty slows down dashboard and platform development by making it hard to quickly find authoritative guidance when specialized skills do not cover a topic.

Core Features & Use Cases

  • Authoritative doc lookup: Retrieves the Databricks documentation index from llms.txt and helps you locate relevant sections and pages.
  • Reference-first workflow: Designed to support understanding and decision-making rather than performing actions directly in Databricks.
  • Bridges missing coverage: Used when other skills cannot answer questions about APIs, configurations, or platform capabilities.

Quick Start

Ask your AI to use the databricks-docs skill to look up llms.txt for the exact Databricks documentation pages related to your question, then apply the guidance to your MCP-driven workflow.

Frequently Asked Questions about databricks-docs

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

FAQPage Schema
How do I find the right Databricks documentation for API configuration details?

You can find Databricks documentation by fetching the llms.txt index, locating relevant sections for your topic, then retrieving specific documentation pages to confirm API guidance and platform behavior.

What is llms.txt and how does it help with Databricks platform queries?

The llms.txt file is a searchable reference index for Databricks documentation. It helps resolve platform behavior questions by providing an authoritative map to specific documentation pages when other skills lack coverage.

When do I need to use the llms.txt reference for Databricks docs?

Use the llms.txt reference when other Databricks skills cannot answer questions about APIs, configurations, or platform capabilities, or when you need authoritative clarification on platform behavior for an implementation.

Can I use this approach to look up Databricks API guidance for MCP workflows?

Yes, the reference-first workflow is designed to support understanding and decision making. You look up documentation pages via llms.txt, then apply the authoritative guidance to inform subsequent MCP-driven actions.

What are the limitations of using llms.txt for Databricks documentation lookup?

This approach is reference-first and does not perform actions directly in Databricks. It requires fetching the llms.txt index via WebFetch and is limited to providing authoritative documentation context rather than executing platform changes.