Does it support custom dbt tests?

Yes, the skill includes templates for generic dbt tests (like row count ranges) and singular tests for specific business logic.

How do data contracts work with this skill?

It provides a standardized YAML structure to define schemas, quality requirements (SodaCL), and SLAs, facilitating clear communication between data producers and consumers.

What tools does this data quality skill support?

It specifically provides patterns for Great Expectations (GX), dbt (data build tool), and YAML-based data contract specifications.

Can I use this for real-time data monitoring?

Yes, it includes patterns for checkpoints and action lists that can trigger alerts to Slack or other monitoring tools when data quality thresholds are missed.

Data Quality Frameworks

Name: Data Quality Frameworks
Author: as4584

byas4584

Database Management

Implements comprehensive data validation using Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.

About

The Data Quality Frameworks skill provides a standardized approach to maintaining high-integrity data environments. It offers production-grade implementation patterns for industry-standard tools like Great Expectations and dbt, alongside modern data contract specifications. By focusing on critical dimensions such as completeness, uniqueness, and timeliness, this skill enables data engineers to build automated testing pyramids that catch schema drift and logic errors early in the development lifecycle.

Key Features

Multi-dimensional data quality metric tracking
Automated validation in CI/CD pipelines
Great Expectations suite and checkpoint orchestration
Data contract definition for cross-team alignment
0 GitHub stars
Generic and singular dbt testing patterns

Use Cases

Enforcing schema and business rules in production data warehouses
Preventing breaking changes with data contracts between services
Automating data monitoring and alerting via Slack or email

About

Key Features

Multi-dimensional data quality metric tracking
Automated validation in CI/CD pipelines
Great Expectations suite and checkpoint orchestration
Data contract definition for cross-team alignment
0 GitHub stars
Generic and singular dbt testing patterns

Use Cases

Enforcing schema and business rules in production data warehouses
Preventing breaking changes with data contracts between services
Automating data monitoring and alerting via Slack or email