What problem does it solve?
Manually auditing scheduled data engineering jobs for misconfigured cron schedules, incorrect job settings, or unaddressed failed runs is time-consuming and risks missing issues that break downstream data pipelines before their next scheduled execution. This Skill automates read-only validation of all scheduled jobs in a session to catch these issues early.
Core Features & Use Cases
- Schedule Correctness Checks: Verifies cron expressions match intended schedules (e.g. confirming a "daily" job uses the correct daily cron instead of an hourly one) to avoid unexpected job timing.
- Configuration Validation: Confirms job settings including SQL paths, connection IDs, and job types match intended deployments to catch misconfigurations before they cause runtime failures.
- Runtime Status Inspection: Reviews the latest job run status and logs to surface failures without triggering new test runs, letting teams resolve issues before the next scheduled window.
Use Case: A data engineering team deploying 30 new scheduled orchestration jobs can use this Skill to automatically validate all jobs post-deployment, catching misconfigured schedules or failed runs that would otherwise delay daily business reporting.
Quick Start
Use the scheduler-validation skill to audit all scheduled jobs in your current scheduler session for configuration errors and failed run history.
