databricks-docs

Fetches the Databricks llms.txt documentation index to look up APIs and concepts.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/FMurray/mlfts --skill databricks-docs-fmurray
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: databricks-docs
Source: https://github.com/FMurray/mlfts/tree/main/.agents/skills/databricks-docs
Command: npx skills add https://github.com/FMurray/mlfts --skill databricks-docs-fmurray

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When working on Databricks tasks, you often hit features or APIs not covered by a specific workflow skill, leaving you without authoritative guidance. This Skill provides a reference layer that retrieves the official Databricks documentation index so you can confirm API behavior and discover capabilities before acting. ## Core Features & Use Cases - Documentation Index Lookup: Fetches the Databricks llms.txt index via WebFetch and navigates categories like Data Engineering, SQL & Analytics, AI/ML, Governance, and Developer Tools. - Reference for Action Tools: Supplies authoritative context that informs how you use MCP tools and workflow skills such as spark-declarative-pipelines or databricks-python-sdk. - Use Case: A user asks about an unfamiliar Databricks feature. You fetch llms.txt, locate the relevant documentation page, read the details, then determine which skill or MCP tool applies to complete the task. ## Quick Start Fetch the Databricks llms.txt documentation index and find the official guidance on Delta Live Tables pipeline configuration.

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 Databricks documentation from an AI agent?

Fetch the llms.txt index at https://docs.databricks.com/llms.txt using WebFetch, search for the relevant section, then fetch the specific documentation page for detailed guidance before applying it with MCP tools.

What is the Databricks llms.txt file used for?

The llms.txt file is a machine-readable index of Databricks documentation organized by category, including Data Engineering, SQL & Analytics, AI/ML, Governance, and Developer Tools. It lets agents quickly locate authoritative pages.

When should I use documentation lookup instead of MCP tools?

Use documentation lookup when you need reference information about a feature or API before acting. Always prefer MCP tools like execute_sql or create_or_update_pipeline for actual operations, and load specific workflow skills for known tasks.

Does this skill execute Databricks operations directly?

No, it is a reference-only skill that fetches and reads documentation. It does not create pipelines, run SQL, or modify resources; those actions are delegated to MCP tools and action-oriented skills.

What are the limitations of the llms.txt documentation index?

The index only covers content published on docs.databricks.com and requires network access via WebFetch. It may not reflect unreleased features, workspace-specific configurations, or third-party integrations.