databricks-docs
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ChineseDatabricks 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 and inform your use of MCP tools.
本技能通过llms.txt提供对完整Databricks文档索引的访问权限——可将其作为参考资源，补充其他技能并指导你使用MCP工具。
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 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.
这是一项参考技能，而非操作技能。你可以用它来：
- 当其他技能未覆盖相关主题时，查找文档
- 获取关于Databricks概念和API的权威指导
- 查找详细信息，指导你如何使用MCP工具
- 发现你可能不了解的功能和特性
操作请优先使用MCP工具（如execute_sql、create_or_update_pipeline等），工作流请加载特定技能（如databricks-python-sdk、spark-declarative-pipelines等）。当你需要参考文档时，再使用本技能。
How to Use
使用方法
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 MCP tools
获取llms.txt文档索引：
URL：
https://docs.databricks.com/llms.txt使用WebFetch检索该索引，然后：
- 搜索相关章节/链接
- 获取特定文档页面以获取详细指导
- 使用合适的MCP工具应用所学内容
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 - 基础概念和教程
- 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：与其他技能配合使用
Scenario: User wants to create a Delta Live Tables pipeline
- Load skill for workflow patterns
spark-declarative-pipelines - Use this skill to fetch docs if you need clarification on specific DLT features
- Use MCP tool to actually create the pipeline
create_or_update_pipeline
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
场景： 用户想要创建Delta Live Tables管道
- 加载技能获取工作流模式
spark-declarative-pipelines - 若需要明确特定DLT功能的细节，使用本技能获取文档
- 使用MCP工具实际创建管道
create_or_update_pipeline
场景： 用户询问某个不熟悉的Databricks功能
- 获取llms.txt以找到相关文档
- 阅读特定文档以了解该功能
- 确定适用的技能/工具，然后使用它们