Does this skill handle sensitive data categories?

Yes, it includes logic for identifying and applying specific protection levels to basic, sensitive (Art. 9), criminal (Art. 10), and children's data.

Does it support data anonymization?

Yes, the skill includes patterns for anonymizing old data as an alternative to deletion, allowing you to maintain analytics while remaining compliant.

Can I use this to automate 'Right to Erasure' requests?

Absolutely. It provides a DSAR handler pattern specifically designed to process erasure requests while accounting for legal exceptions and retention requirements.

How does this skill help with GDPR compliance?

It provides standardized code patterns and architectural guidance for implementing legal requirements like consent tracking, data subject rights, and automated retention policies.

GDPR Data Handling & Compliance

Name: GDPR Data Handling & Compliance
Author: EngineerWithAI

byEngineerWithAI

Security & Testing

Implements GDPR-compliant data processing workflows including consent management, data subject rights, and automated retention policies.

About

This skill provides a comprehensive framework for engineering privacy-first systems that comply with the EU General Data Protection Regulation (GDPR). It offers standardized implementation patterns for capturing granular user consent, managing audit trails, and automating responses to Data Subject Access Requests (DSARs). By integrating this skill, developers can efficiently handle complex legal requirements such as the Right to Erasure, data portability, and multi-layered retention schedules, ensuring that privacy by design is baked into the application architecture rather than treated as an afterthought.

Key Features

Right to Erasure and Portability logic
Granular Consent Management with audit logging
Automated Data Subject Access Request (DSAR) handlers
Legal-basis-driven Data Retention policies
Privacy by Design architectural patterns
0 GitHub stars

Use Cases

Building a compliant cookie and data processing consent banner
Implementing database-level data anonymization and cleanup scripts
Automating the workflow for user data deletion and export requests

About

Key Features

Right to Erasure and Portability logic
Granular Consent Management with audit logging
Automated Data Subject Access Request (DSAR) handlers
Legal-basis-driven Data Retention policies
Privacy by Design architectural patterns
0 GitHub stars

Use Cases

Building a compliant cookie and data processing consent banner
Implementing database-level data anonymization and cleanup scripts
Automating the workflow for user data deletion and export requests