Query Databricks job status and run histories to diagnose failures.
npx skills add https://github.com/mats16/briclaude --skill databricks-jobs-mats16
Please help me install this Agent Skill. Skill: databricks-jobs Source: https://github.com/mats16/briclaude/tree/main/skills/databricks-jobs Command: npx skills add https://github.com/mats16/briclaude --skill databricks-jobs-mats16
Streamlines Databricks job management by providing quick visibility into job health, run histories, and failure diagnostics to reduce MTTR.
Ask to fetch a Databricks job overview and initiate a repair workflow for a failed run.
High-intent search queries and answers about installing and using this skill.
Databricks job failure investigation uses CLI-based live checks to fetch run histories and current status. This Skill applies failure diagnostics and historical analysis to resolve job health issues and reduce MTTR.
Monitoring Databricks workflows for pipeline health issues is done by querying current status and run histories. It supports real-time visibility and historical analysis across multiple jobs to identify and resolve failures quickly.
Yes, you can use system.lakeflow tables for historical analysis of Databricks jobs. This Skill supports querying these tables to audit job performance and browse historical run data across your data pipelines.
To initiate a repair workflow for a failed Databricks job, ask to fetch a job overview and trigger a repair. The Skill supports CLI-based run-now commands to repair and rerun failed data pipeline tasks.
Yes, this approach supports debugging notebook and spark-task failures in Databricks. It provides unified workflows for failure investigation, allowing operations teams to troubleshoot and repair failed analytics workloads.
rbutinarMonitor Databricks workspace clusters, job runs, SQL warehouses, and user details.
brianlanExport OpenCode session histories as JSON or Markdown transcripts.
m19cQuery Unity Catalog system tables and manage volumes in Databricks.
viinearaujoAnalyzes UiPath Orchestrator job data to produce performance metrics and failure diagnostics.
