Does it provide UI examples for consent?

Yes, it includes a reference implementation for a GDPR-compliant consent banner that distinguishes between necessary, analytical, and marketing cookies.

How does this skill help with GDPR compliance?

It provides standardized code patterns and implementation logic for consent tracking, data erasure, and handling subject access requests (DSARs) according to EU regulations.

Can it automate data deletion requests?

Yes, it includes patterns for identifying user data across various sources and executing deletion or anonymization while accounting for legal retention exceptions.

Is this skill suitable for existing legacy systems?

Absolutely. The patterns can be adapted to wrap around existing data models to add a compliance layer for auditing, consent verification, and automated data cleanup.

GDPR Data Handling & Compliance

Name: GDPR Data Handling & Compliance
Author: Tahir-yamin

byTahir-yamin

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Security & Testing

Implements GDPR-compliant data processing workflows, consent management systems, and privacy-by-design patterns for modern applications.

About

This skill provides a comprehensive technical framework for developers to integrate European privacy standards directly into their software architecture. It covers the practical implementation of consent schemas, automated Data Subject Access Request (DSAR) handling, and systematic data retention policies, ensuring systems are audit-ready and respect user rights. It is particularly valuable when building applications that process EU personal data, conducting compliance reviews, or architecting privacy-first backends that require robust data lifecycle management.

Key Features

Consent management schemas with full audit logging and version tracking
Automated Data Subject Access Request (DSAR) processing workflows
Privacy-first architecture guidance based on Article 6 legal bases
Implementation patterns for the Right to Erasure and Data Portability
3 GitHub stars
Configurable data retention and anonymization policy enforcement

Use Cases

Automating the deletion or anonymization of user data across multiple distributed databases
Building a GDPR-compliant cookie and marketing consent banner system
Generating machine-readable data exports for portability requests

About

Key Features

Consent management schemas with full audit logging and version tracking
Automated Data Subject Access Request (DSAR) processing workflows
Privacy-first architecture guidance based on Article 6 legal bases
Implementation patterns for the Right to Erasure and Data Portability
3 GitHub stars
Configurable data retention and anonymization policy enforcement

Use Cases

Automating the deletion or anonymization of user data across multiple distributed databases
Building a GDPR-compliant cookie and marketing consent banner system
Generating machine-readable data exports for portability requests