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GitHub Skill

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.*).

mats16☆ 1 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill 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.

GitHub ↗

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