About databricks-docs
A documentation reference skill for Databricks users seeking authoritative information about features, concepts, and APIs. It directs users to the Databricks documentation index and specific pages, complementing action-oriented skills and CLI or SDK workflows.
Key features
- 01Search the Databricks documentation index
- 02Find pages by topic
- 03Supplement CLI and SDK guidance
Use cases
- 01Look up features not covered by other skills
- 02Verify Databricks concepts and APIs
- 03Find documentation for CLI or SDK actions
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/databricks-docsin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlassets/databricks.svg
Details
From the project READMEDatabricks 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.
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 CLI commands and SDK usage
- Discover features and capabilities you may not know about
Always prefer using CLI/SDK for actions 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:
- Search for relevant sections/links
- Fetch specific documentation pages for detailed guidance
- Apply what you learn using the appropriate CLI commands or SDK
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
- Load
databricks-spark-declarative-pipelinesskill for workflow patterns - Use this skill to fetch docs if you need clarification on specific DLT features
- Use
databricks pipelines createCLI command to create the pipeline
Scenario: User asks about an unfamiliar Databricks feature
- Fetch llms.txt to find relevant documentation
- Read the specific docs to understand the feature
- Determine which skill/tools apply, then use them
Related Skills
- databricks-python-sdk - SDK patterns for programmatic Databricks access
- databricks-pipelines - DLT / Lakeflow pipeline workflows
- databricks-unity-catalog - Governance and catalog management
- databricks-model-serving - Serving endpoints and model deployment
- databricks-mlflow-evaluation - MLflow 3 GenAI evaluation workflows