databricks-jobs
Databricks Jobs management, monitoring, and debugging. Use for job status checks, run history, failure investigation, job execution, and historical analysis. Triggers: job status, run history, job failure, debug job, run job, cancel job, repair run, job metrics, failure analysis. Real-time operations use CLI (databricks jobs). Historical analysis uses System Tables (system.lakeflow.*).
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Databricks Jobs management, monitoring, and debugging. Use for job status checks, run history, failure investigation, job execution, and historical analysis. Triggers: job status, run history, job failure, debug job, run job, cancel job, repair run, job metrics, failure analysis. Real-time operations use CLI (databricks jobs). Historical analysis uses System Tables (system.lakeflow.*).
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-21
- Index updated
- 2026-03-03
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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