databricks-docs

Retrieve Databricks documentation pages from the llms.txt index.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill databricks-docs-jingyiwng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-docs
Source: https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher/tree/main/.claude/skills/databricks-docs
Command: npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill databricks-docs-jingyiwng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often need reliable Databricks platform information that isn’t covered by existing action skills, leading to uncertainty about APIs, configurations, or new features.

Core Features & Use Cases

  • Reference Index: Retrieves the complete Databricks llms.txt documentation index for fast lookup.
  • Targeted Retrieval: Allows searching the index and fetching specific documentation pages, such as Delta Live Tables, Unity Catalog, or MLflow details.
  • Workflow Integration: Complements action‑oriented skills by providing the necessary background knowledge before executing MCP tools.

Quick Start

Use this skill to fetch the Databricks documentation index and locate details about a specific feature, such as Delta Live Tables.

Frequently Asked Questions about databricks-docs

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

FAQPage Schema
How do I retrieve authoritative Databricks documentation for platform features like Unity Catalog?

You can retrieve Databricks documentation by searching the llms.txt index for topics like Unity Catalog and fetching relevant pages. This requires web access to parse and present markdown content from docs.databricks.com.

What is the llms.txt index used for when searching Databricks reference materials?

The llms.txt index serves as a complete reference directory for locating specific Databricks documentation. It allows targeted retrieval of feature pages, such as Delta Live Tables or MLflow details, before executing workflow actions.

Can I use this documentation retrieval method to find details about Delta Live Tables and MLflow?

Yes, you can fetch specific Databricks documentation pages for Delta Live Tables and MLflow. The retrieval mechanism searches the index and returns targeted markdown content for these platform features.

Do I need web access to parse and present markdown content from Databricks docs?

Yes, web access to https://docs.databricks.com/llms.txt is required to retrieve the Databricks documentation index. The system needs the ability to parse and present the fetched markdown content effectively.

How do I integrate background platform knowledge before executing MCP tools?

You integrate background platform knowledge by first retrieving the necessary Databricks documentation. This complements action-oriented skills by providing authoritative reference material before workflow execution.

What are the limitations of using the llms.txt index for Databricks platform queries?

The retrieval mechanism is limited to parsing and presenting markdown content available in the Databricks llms.txt index. It provides reference knowledge but does not execute platform actions directly.