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Dotfiles databricks-docs

Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.

install
source · Clone the upstream repo
git clone https://github.com/msbaek/dotfiles
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/msbaek/dotfiles "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/databricks-docs" ~/.claude/skills/msbaek-dotfiles-databricks-docs && rm -rf "$T"
manifest: .claude/skills/databricks-docs/SKILL.md
source content

Databricks Documentation Reference

This skill provides access to the complete Databricks documentation index via llms.txt - use it as a reference resource to supplement other skills and inform your use of MCP tools.

Role of This Skill

This is a reference skill, not an action skill. Use it to:

  • Look up documentation when other skills don't cover a topic
  • Get authoritative guidance on Databricks concepts and APIs
  • Find detailed information to inform how you use MCP tools
  • Discover features and capabilities you may not know about

Always prefer using MCP tools for actions (execute_sql, manage_pipeline, etc.) and load specific skills for workflows (databricks-python-sdk, databricks-spark-declarative-pipelines, etc.). Use this skill when you need reference documentation.

How to Use

Fetch the llms.txt documentation index:

URL: 

https://docs.databricks.com/llms.txt

Use WebFetch to retrieve this index, then:

  1. Search for relevant sections/links
  2. Fetch specific documentation pages for detailed guidance
  3. Apply what you learn using the appropriate MCP tools

Documentation Structure

The llms.txt file is organized by category:

  • Overview & Getting Started - Basic concepts and tutorials
  • Data Engineering - Lakeflow, Spark, Delta Lake, pipelines
  • SQL & Analytics - Warehouses, queries, dashboards
  • AI/ML - MLflow, model serving, GenAI
  • Governance - Unity Catalog, permissions, security
  • Developer Tools - SDKs, CLI, APIs, Terraform

Example: Complementing Other Skills

Scenario: User wants to create a Delta Live Tables pipeline

  1. Load 
    databricks-spark-declarative-pipelines
    skill for workflow patterns
  2. Use this skill to fetch docs if you need clarification on specific DLT features
  3. Use 
    manage_pipeline(action="create_or_update")
    MCP tool to actually create the pipeline

Scenario: User asks about an unfamiliar Databricks feature

  1. Fetch llms.txt to find relevant documentation
  2. Read the specific docs to understand the feature
  3. Determine which skill/tools apply, then use them

Related Skills