How does this skill help with GDPR code implementation?

It provides specific code patterns, such as .NET interfaces for data subject request handling and repository patterns for granular consent management.

Can I use this for Data Protection Impact Assessments (DPIA)?

Yes, it includes a structured DPIA template and a risk scoring matrix to help you evaluate the necessity, proportionality, and residual risk of data processing.

What implementation patterns are included for data subject rights?

The skill covers technical workflows for the 'Right to be Forgotten' (erasure), data portability (JSON/CSV exports), and data access requests with 1-month response tracking.

Does it provide guidance on international data transfers?

Yes, it includes frameworks for Transfer Impact Assessments (TIA) and guidance on using Standard Contractual Clauses (SCCs) post-Schrems II.

Is this suitable for planning 'Privacy by Design'?

Absolutely. It contains specific checklists for the architecture, development, and testing phases to ensure data minimization and purpose limitation are handled early.

GDPR Compliance Planner

Name: GDPR Compliance Planner
Author: melodic-software

bymelodic-software

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Security & Testing

Provides comprehensive guidance and implementation patterns for building GDPR-compliant data systems and privacy controls.

About

The gdpr-compliance skill empowers developers and architects to integrate General Data Protection Regulation requirements directly into the development lifecycle. It provides technical implementation patterns for data subject rights—such as the right to erasure and portability—alongside structured frameworks for Data Protection Impact Assessments (DPIA) and Records of Processing Activities (ROPA). By offering specialized checklists for 'Privacy by Design' and specific .NET code examples for consent management, this skill ensures that software projects handling EU personal data are built with compliance, transparency, and accountability as core architectural principles.

Key Features

Implementation patterns for Data Subject Rights (Access, Erasure, Portability)
Data Protection Impact Assessment (DPIA) templates and risk scoring
Consent management architecture and granular tracking logic
Privacy by Design checklists for architecture and testing phases
International data transfer guidance and Transfer Impact Assessment (TIA) tools
5 GitHub stars

Use Cases

Architecting consent management systems and user preference centers
Automating Data Subject Access Requests (DSAR) and 'Right to be Forgotten' workflows
Conducting regulatory risk assessments before deploying high-risk data processing features

About

Key Features

Implementation patterns for Data Subject Rights (Access, Erasure, Portability)
Data Protection Impact Assessment (DPIA) templates and risk scoring
Consent management architecture and granular tracking logic
Privacy by Design checklists for architecture and testing phases
International data transfer guidance and Transfer Impact Assessment (TIA) tools
5 GitHub stars

Use Cases

Architecting consent management systems and user preference centers
Automating Data Subject Access Requests (DSAR) and 'Right to be Forgotten' workflows
Conducting regulatory risk assessments before deploying high-risk data processing features