Can I use this for real-time data monitoring?

Yes, it provides patterns for setting up quality metrics and alerting to monitor data reliability in production environments.

How does it help with team collaboration?

It helps establish data contracts that define clear expectations and ownership between different teams providing and consuming data.

Does it integrate with existing CI/CD workflows?

Yes, the skill includes specific instructions for automating data validation checks as part of your continuous integration and deployment pipelines.

Data Quality Frameworks

Name: Data Quality Frameworks
Author: JantonioFC

byJantonioFC

•

Analíticas y Monitorización

Implements robust data validation using Great Expectations, dbt tests, and data contracts to ensure pipeline reliability.

This skill enables developers and data engineers to establish rigorous data quality standards within their workflows by integrating industry-standard tools like Great Expectations and dbt. It facilitates the creation of automated validation rules, formal data contracts, and quality monitoring metrics, helping teams prevent data drift and ensure schema consistency. Use this skill to automate validation within CI/CD pipelines, define ownership, and establish clear remediation steps for data-related incidents.

Características Principales

012 GitHub stars

02Great Expectations validation setup

03Comprehensive dbt test suite generation

04Automated CI/CD validation patterns

05Data contract implementation and enforcement

06Data quality metric and alerting configuration

Casos de Uso

01Establishing formal data contracts between upstream producers and downstream consumers

02Implementing production-grade monitoring for data quality and pipeline health

03Automating data validation during CI/CD to prevent breaking changes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank data-quality-frameworks

For use in Claude.ai and ChatGPT

Características Principales

012 GitHub stars

02Great Expectations validation setup

03Comprehensive dbt test suite generation

04Automated CI/CD validation patterns

05Data contract implementation and enforcement

06Data quality metric and alerting configuration

Casos de Uso

01Establishing formal data contracts between upstream producers and downstream consumers

02Implementing production-grade monitoring for data quality and pipeline health

03Automating data validation during CI/CD to prevent breaking changes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank data-quality-frameworks

For use in Claude.ai and ChatGPT