data-quality-checker

What problem does it solve?

This Skill addresses the critical need for accurate and reliable data by implementing robust checks and validation rules, preventing data-related errors and ensuring data governance.

Core Features & Use Cases

• Data Validation: Implement schema checks, null value detection, value range enforcement, and uniqueness constraints.
• Data Quality Monitoring: Track key data quality metrics and set up alerts for anomalies.
• Use Case: Automatically validate incoming customer data against predefined rules to ensure all required fields are present, correctly formatted, and unique before it enters the main database.

Quick Start

Use the data-quality-checker skill to validate the attached customer_data.csv file.