Does this skill support Data Subject Access Requests (DSAR)?

Yes, it includes logic for handling right to access, erasure, rectification, and portability requests as required by GDPR Articles 15-20.

How does it handle user consent?

It includes models for capturing granular consent, managing audit logs for proof of compliance, and mapping consent to specific processing purposes.

Is this skill limited to specific programming languages?

The skill provides cross-platform guidance with specific implementation examples in JavaScript for UIs and Python for backend logic.

What does the GDPR Data Handling skill help with?

It provides standardized patterns and code snippets for implementing GDPR-specific features like consent management, data deletion, and subject access requests.

Can I automate data retention policies with this skill?

Yes, it provides implementation patterns for defining retention periods and automating the anonymization or deletion of expired data.

GDPR Compliance & Data Handling

Name: GDPR Compliance & Data Handling
Author: wshobson

bywshobson

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23,194

Security & Testing

Implements GDPR-compliant data processing, granular consent management systems, and automated privacy controls within your applications.

About

This skill provides a comprehensive framework for developers to integrate General Data Protection Regulation (GDPR) requirements directly into their software architecture. It offers practical implementation patterns for complex tasks such as building granular consent management UIs with audit trails, automating Data Subject Access Requests (DSARs), and enforcing programmatic data retention and anonymization policies, ensuring your systems meet EU privacy standards from the design phase through deployment.

Key Features

Privacy-by-design architectural patterns and patterns
Automated workflows for Data Subject Access Requests (DSARs)
Granular consent management and backend audit logging
Programmatic data retention and anonymization policies
GDPR-compliant mapping for legal bases of processing
23,194 GitHub stars

Use Cases

Automating the response process for user data deletion and portability requests
Designing database schemas that enforce legal data retention limits automatically
Building a web consent banner with persistent backend audit trails

About

Key Features

Privacy-by-design architectural patterns and patterns
Automated workflows for Data Subject Access Requests (DSARs)
Granular consent management and backend audit logging
Programmatic data retention and anonymization policies
GDPR-compliant mapping for legal bases of processing
23,194 GitHub stars

Use Cases

Automating the response process for user data deletion and portability requests
Designing database schemas that enforce legal data retention limits automatically
Building a web consent banner with persistent backend audit trails