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.
Scanned 6/6/2026
Install via CLI
openskills install frank-luongt/faos-skills-marketplace<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: databricks-docs
tags: [databricks, documentation]
---
# 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, create_or_update_pipeline, etc.) and
**load specific skills for workflows** (databricks-python-sdk, 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 `spark-declarative-pipelines` skill for workflow patterns
2. Use this skill to fetch docs if you need clarification on specific DLT features
3. Use `create_or_update_pipeline` 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
<!-- Source: .faos/custom/skills/cloud/databricks/databricks-docs/SKILL.md -->
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