Is it suitable for handling sensitive data categories?

Yes, the skill includes classifications for basic, sensitive (Art. 9), and children's data, ensuring appropriate protection levels and consent requirements are applied.

Can this skill help with Data Subject Access Requests?

Yes, it provides specific implementation patterns for processing access, erasure, and portability requests across multiple data sources, including deadline tracking and verification logic.

Does it include front-end components for compliance?

It includes HTML/CSS templates for GDPR-compliant consent banners and cookie preference managers that prioritize user choice.

How does it handle data retention policies?

The skill defines policy-driven retention logic to automatically archive, anonymize, or delete data based on legal obligations, contracts, or consent expiration.

GDPR Compliance & Data Handling

Name: GDPR Compliance & Data Handling
Author: drgaciw

bydrgaciw

セキュリティとテスト

Implements GDPR-compliant data processing, consent management, and data subject rights within software architectures.

概要

This skill provides standardized patterns for ensuring GDPR compliance in applications processing EU personal data. It offers structured guidance on implementing robust consent management systems, handling complex Data Subject Access Requests (DSARs), and enforcing data retention policies. By integrating privacy-by-design principles, developers can automate privacy controls, manage legal bases for processing, and maintain comprehensive audit logs to meet regulatory requirements and protect user privacy.

主な機能

Structured mapping of legal bases for data processing (Art. 6)
Standardized consent management schemas and service patterns
0 GitHub stars
Configurable data retention and anonymization policy enforcement
Automated Data Subject Access Request (DSAR) handling for access and erasure
Privacy-first UI/UX templates for consent banners and preference centers

ユースケース

Building EU-market compliant backend systems with automated privacy controls
Implementing 'Right to be Forgotten' (erasure) workflows across distributed data sources
Generating audit-ready documentation for data processing and consent history

概要

主な機能

Structured mapping of legal bases for data processing (Art. 6)
Standardized consent management schemas and service patterns
0 GitHub stars
Configurable data retention and anonymization policy enforcement
Automated Data Subject Access Request (DSAR) handling for access and erasure
Privacy-first UI/UX templates for consent banners and preference centers

ユースケース

Building EU-market compliant backend systems with automated privacy controls
Implementing 'Right to be Forgotten' (erasure) workflows across distributed data sources
Generating audit-ready documentation for data processing and consent history