databricks-docs
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Translated
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.
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NPX Install
npx skill4agent add databricks/databricks-agent-skills databricks-docsTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →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.
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.txtUse 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 skill for workflow patterns
databricks-spark-declarative-pipelines - Use this skill to fetch docs if you need clarification on specific DLT features
- Use CLI command to create the pipeline
databricks pipelines create
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