Is this skill specific to a single database?

While it features examples for Snowflake and dbt, the governance principles and metadata structures are applicable across most modern data warehouses.

Does it support row-level security?

Yes, it includes specific SQL patterns for creating row access policies to restrict data visibility based on user roles or regions.

How does this skill handle sensitive data?

It includes templates for PII classification and SQL-based masking policies to ensure sensitive information is only visible to authorized roles.

What tools are supported for data lineage?

The skill provides implementation patterns for dbt documentation and OpenLineage clients to track data movement from source to consumption.

Can it help with regulatory compliance?

Yes, it provides guidance and implementation patterns for meeting requirements for GDPR, CCPA, SOC2, and HIPAA.

Data Governance Manager

Name: Data Governance Manager
Author: timequity

bytimequity

Database Management

Manages data lineage, metadata cataloging, access control, and compliance standards for modern data platforms.

About

The Data Governance skill empowers Claude to architect and maintain robust data frameworks by implementing end-to-end lineage tracking, detailed metadata cataloging, and rigorous security protocols. It provides standardized patterns for tracking data flow from source to consumption using tools like dbt and OpenLineage, while enforcing column and row-level security policies. This skill is essential for data teams needing to ensure transparency, maintain high data quality, and adhere to strict regulatory requirements like GDPR, CCPA, and SOC2.

Key Features

Automated metadata cataloging for technical and business context
Compliance workflows for GDPR, CCPA, SOC2, and HIPAA
End-to-end data lineage tracking from source systems to reporting
0 GitHub stars
Implementation of column-level masking and row-level access policies
PII classification and sensitive data management patterns

Use Cases

Configuring secure access controls and data masking in Snowflake
Mapping complex data flows for impact analysis and auditing
Generating comprehensive data documentation and catalogs with dbt

About

Key Features

Automated metadata cataloging for technical and business context
Compliance workflows for GDPR, CCPA, SOC2, and HIPAA
End-to-end data lineage tracking from source systems to reporting
0 GitHub stars
Implementation of column-level masking and row-level access policies
PII classification and sensitive data management patterns

Use Cases

Configuring secure access controls and data masking in Snowflake
Mapping complex data flows for impact analysis and auditing
Generating comprehensive data documentation and catalogs with dbt