References Databricks documentation via llms.txt index for unfamiliar features, APIs, configurations, and platform capabilities when other skills lack coverage.
npx claudepluginhub databricks-solutions/ai-dev-kit --plugin databricks-ai-dev-kitThis skill uses the workspace's default tool permissions.
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.
Provides Ktor server patterns for routing DSL, plugins (auth, CORS, serialization), Koin DI, WebSockets, services, and testApplication testing.
Conducts multi-source web research with firecrawl and exa MCPs: searches, scrapes pages, synthesizes cited reports. For deep dives, competitive analysis, tech evaluations, or due diligence.
Provides demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation for multi-location retailers managing 300-800 SKUs.
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