databricks-docs

Retrieves official Databricks llms.txt index and product documentation for APIs and platform features.

38|12|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/databrickslabs/coding-agents-databricks-apps --skill databricks-docs-databrickslabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-docs
Source: https://github.com/databrickslabs/coding-agents-databricks-apps/tree/main/.claude/skills/databricks-docs
Command: npx skills add https://github.com/databrickslabs/coding-agents-databricks-apps --skill databricks-docs-databrickslabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users working with Databricks often need authoritative, up-to-date guidance on platform features, APIs, and best practices, but sifting through full documentation libraries is time-consuming and can lead to incorrect implementation if information is outdated or misapplied.

Core Features & Use Cases

  • Full Documentation Index Access: Retrieves the complete Databricks llms.txt index to quickly locate relevant documentation sections across all Databricks product areas.
  • Supplemental Reference for Workflows: Provides detailed context to complement specialized skills and MCP tools when building Databricks pipelines, managing Unity Catalog, or deploying models.
  • Use Case: If you are configuring a Databricks model serving endpoint and are unsure about available deployment options, use this skill to fetch the official model serving documentation to inform your configuration choices.

Quick Start

Use the databricks-docs skill to look up official guidance for configuring Databricks Unity Catalog schema permissions.

Frequently Asked Questions about databricks-docs

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

FAQPage Schema
How do I look up official Databricks documentation for platform features and APIs?

To look up official Databricks documentation, retrieve the complete Databricks llms.txt index to quickly locate relevant reference sections across all product areas for development and administrative tasks.

What is the best way to get API guidance for configuring Databricks model serving endpoints?

The best way to get API guidance for Databricks model serving is to fetch official product documentation references that inform your specific deployment options and service configurations.

Can I use this to find official reference material for Databricks Unity Catalog schema permissions?

Yes, you can use this to fetch official Databricks Unity Catalog documentation to inform correct usage and configuration of schema permissions and other platform capabilities.

Does this provide supplemental context for Databricks MCP tools and SDKs?

Yes, this provides detailed supplemental reference context to complement specialized Databricks MCP tools and SDKs when building pipelines, managing Unity Catalog, or deploying models.

When do I need official Databricks documentation references instead of specialized workflow skills?

You need official Databricks documentation references when you require clarification on APIs, platform features, or service configurations not covered by specialized workflow skills.