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Databricks Documentation Reference

Databricks文档参考

This skill provides access to the complete Databricks documentation index via llms.txt - use it as a reference resource to supplement other skills.
本技能通过llms.txt提供对完整Databricks文档索引的访问——将其作为参考资源来补充其他技能。

Role of This Skill

本技能的作用

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.
这是一项参考技能，而非操作技能。可用于：
  • 当其他技能无法覆盖某个主题时查阅文档
  • 获取关于Databricks概念和API的权威指导
  • 查找详细信息以指导CLI命令和SDK使用
  • 发现你可能不了解的功能和能力
操作时优先使用CLI/SDK，工作流请加载特定技能（如databricks-python-sdk、databricks-spark-declarative-pipelines等）。当你需要参考文档时使用本技能。

How to Use

使用方法

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 CLI commands or SDK
获取llms.txt文档索引：
URL: 
https://docs.databricks.com/llms.txt
使用WebFetch检索此索引，然后：
  1. 搜索相关章节/链接
  2. 获取特定文档页面以获取详细指导
  3. 使用合适的CLI命令或SDK应用所学内容

Documentation Structure

文档结构

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
llms.txt文件按类别组织：
  • 概述与入门 - 基本概念和教程
  • 数据工程 - Lakeflow、Spark、Delta Lake、管道
  • SQL与分析 - 数据仓库、查询、仪表板
  • AI/ML - MLflow、模型服务、生成式AI
  • 治理 - Unity Catalog、权限、安全
  • 开发者工具 - SDK、CLI、API、Terraform

Example: Complementing Other Skills

示例：补充其他技能

Scenario: User wants to create a Delta Live Tables pipeline
  1. Load 
    databricks-spark-declarative-pipelines
    skill for workflow patterns
  2. Use this skill to fetch docs if you need clarification on specific DLT features
  3. Use 
    databricks pipelines create
    CLI command to 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
场景： 用户想要创建Delta Live Tables管道
  1. 加载
    databricks-spark-declarative-pipelines
    技能获取工作流模式
  2. 如果需要明确特定DLT功能的细节，使用本技能获取文档
  3. 使用
    databricks pipelines create
    CLI命令创建管道
场景： 用户询问某个不熟悉的Databricks功能
  1. 获取llms.txt以找到相关文档
  2. 阅读特定文档以理解该功能
  3. 确定适用的技能/工具，然后使用它们

Related Skills

相关技能

  • 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
  • databricks-python-sdk - 用于以编程方式访问Databricks的SDK模式
  • databricks-pipelines - DLT / Lakeflow管道工作流
  • databricks-unity-catalog - 治理和目录管理
  • databricks-model-serving - 服务端点和模型部署
  • databricks-mlflow-evaluation - MLflow 3生成式AI评估工作流