Extract orchestration lineage from Databricks jobs and notebooks.
npx skills add https://github.com/rbutinar/ade-ops --skill databricks-lineage
Please help me install this Agent Skill. Skill: databricks-lineage Source: https://github.com/rbutinar/ade-ops/tree/main/.agents/skills/databricks-lineage Command: npx skills add https://github.com/rbutinar/ade-ops --skill databricks-lineage
This Skill provides a comprehensive view of Databricks Job and Notebook Lineage, helping users understand the relationships between jobs, tasks, and notebooks.
Use the /databricks-lineage skill to list all available jobs in your Databricks workspace.
High-intent search queries and answers about installing and using this skill.
You can trace task dependencies in a Databricks job by extracting orchestration lineage that details task relationships and notebook execution paths. This skill lists job structures and retrieves detailed job specifications to visualize your ETL workflow.
Getting Databricks notebook execution paths involves extracting orchestration lineage from jobs and notebooks. This skill details task dependencies and execution paths, and can export the complete job lineage to JSON for further analysis.
Yes, you need a configured MCP server and access to the Databricks Jobs API to extract job lineage. This environment setup is required for the skill to retrieve job definitions, list available jobs, and detail task dependencies.
The best way to document complex ETL job structures in Databricks is by extracting orchestration lineage to map task dependencies and notebook execution paths. This skill automates job structure discovery and exports job lineage to JSON.
Yes, you can export Databricks job definitions to JSON for dependency tracking. This skill retrieves detailed job specifications, including tasks and their dependencies, and supports exporting the complete job lineage to JSON format.
Yes, this Databricks lineage extraction tool supports notebook management by detailing notebook execution paths within job workflows. It focuses on job structure and task dependencies to help you understand relationships between jobs, tasks, and notebooks.
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