dbt Artifacts Package - AI Instructions

Purpose

This skill enables AI agents to help users monitor dbt execution using the brooklyn-data/dbt_artifacts package. The package captures detailed execution metadata during dbt runs and stores it in queryable tables for analysis and monitoring.

When to Use This Skill

Activate this skill when users ask about:

• Tracking test and model execution history
• Analyzing dbt run patterns over time
• Monitoring data quality metrics from dbt tests
• Investigating dbt performance issues or slow models
• Setting up execution logging and observability
• Querying dbt execution metadata programmatically
• Comparing dbt monitoring approaches (Artifacts vs Event Tables)