References Databricks documentation via llms.txt index. Use for unfamiliar features, APIs, configurations, platform capabilities, or when other skills lack coverage.
How this skill is triggered — by the user, by Claude, or both
Slash command
/databricks-ai-dev-kit:databricks-docsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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.
This is a reference skill, not an action skill. Use it to:
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.
Fetch the llms.txt documentation index:
URL: https://docs.databricks.com/llms.txt
Use WebFetch to retrieve this index, then:
The llms.txt file is organized by category:
Scenario: User wants to create a Delta Live Tables pipeline
databricks-spark-declarative-pipelines skill for workflow patternsmanage_pipeline(action="create_or_update") MCP tool to actually create the pipelineScenario: User asks about an unfamiliar Databricks feature
npx claudepluginhub databricks-solutions/ai-dev-kit --plugin databricks-ai-dev-kitExpert guidance for Azure Databricks covering troubleshooting, best practices, architecture, deployment, Unity Catalog, Delta Live Tables, Model Serving, and Databricks SQL. Activates when working with Azure Databricks tools and services.
Guides Databricks development with Python SDK, Databricks Connect for local Spark, CLI, and REST API. Use for databricks-sdk, databricks-connect, or APIs.
Fetches dbt docs in markdown via .md URLs or llms.txt index; searches full content with bash script. For dbt Core, Cloud, Semantic Layer queries.