Can I customize the classification rules?

Yes, the skill provides templates for classification rules (YAML) and tag taxonomies (SQL) that can be easily customized to fit your organization's specific data policies.

Is this skill useful for regulatory compliance?

Absolutely. It automates the identification and tagging of regulated data, making it significantly easier to adhere to frameworks such as GDPR, HIPAA, and CCPA.

How does this skill detect PII?

It uses a combination of schema-based analysis (checking column names and types) and content-based analysis using regex patterns to identify sensitive data like emails, phone numbers, or tax IDs.

Does this work with Unity Catalog?

Yes, the skill is specifically designed to work with Databricks Unity Catalog, utilizing SQL commands and Python APIs to apply tags at the catalog, table, and column levels.

What is the Databricks Data Classification skill?

It is a specialized capability for Claude Code designed to help users implement data governance, PII detection, and sensitivity tagging within the Databricks platform.

Databricks Data Classification

Name: Databricks Data Classification
Author: vivekgana

byvivekgana

•

データベース管理

Automates data classification and tagging within Databricks Unity Catalog to ensure regulatory compliance and data governance.

This skill provides a comprehensive framework for identifying, tagging, and managing sensitive data within Databricks. It leverages both schema-based and content-based detection patterns to categorize data by sensitivity levels—from Public to Restricted—and specific PII types. By integrating automated classification workflows and SQL-based tag application, it helps data engineers and governance teams maintain a robust compliance posture and implement fine-grained access controls based on data sensitivity and business context.

主な機能

01Unity Catalog integration for seamless tag application via SQL and Python

02Hierarchical sensitivity leveling including Public, Internal, Confidential, and Restricted

03Automated PII detection using regex patterns for emails, SSNs, and credit cards

042 GitHub stars

05Schema-based inference for rapid classification of large-scale datasets

06Domain-specific classification for Financial, Customer, Employee, and Product data

ユースケース

01Implementing a standardized data sensitivity framework across a Databricks workspace

02Automating PII discovery and tagging for GDPR, CCPA, or HIPAA compliance

03Auditing existing Unity Catalog tables to identify and tag unmasked sensitive information

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vivekgana/databricks-platform-marketplace data-classification

For use in Claude.ai and ChatGPT

Download Skill