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Skill
gdpr-data-handling
Original text · EnglishImplement GDPR-compliant data handling with consent management, data subject rights, and privacy by design. Use when building systems that process EU personal data, implementing privacy controls, or conducting GDPR compliance reviews.
Republished in full under its license, with attribution. The source is authoritative.
name: gdpr-data-handling
description: Implement GDPR-compliant data handling with consent management, data subject rights, and privacy by design. Use when building systems that process EU personal data, implementing privacy controls, or conducting GDPR compliance reviews.
GDPR Data Handling
Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls.
When to Use This Skill
Building systems that process EU personal data
Implementing consent management
Handling data subject requests (DSRs)
Conducting GDPR compliance reviews
Designing privacy-first architectures
Creating data processing agreements
Core Concepts
1. Personal Data Categories
Category
Examples
Protection Level
Basic
Name, email, phone
Standard
Sensitive (Art. 9)
Health, religion, ethnicity
Explicit consent
Criminal (Art. 10)
Convictions, offenses
Official authority
Children's
Under 16 data
Parental consent
2. Legal Bases for Processing
Article 6 - Lawful Bases:
├── Consent: Freely given, specific, informed
├── Contract: Necessary for contract performance
├── Legal Obligation: Required by law
├── Vital Interests: Protecting someone's life
├── Public Interest: Official functions
└── Legitimate Interest: Balanced against rights
3. Data Subject Rights
Right to Access (Art. 15) ─┐
Right to Rectification (Art. 16) │
Right to Erasure (Art. 17) │ Must respond
Right to Restrict (Art. 18) │ within 1 month
Right to Portability (Art. 20) │
Right to Object (Art. 21) ─┘
Detailed worked examples and patterns
Detailed sections (starting with ## Implementation Patterns) live in references/details.md. Read that file when the navigation summary above is insufficient.
Best Practices
Do's
Minimize data collection - Only collect what's needed
Create employment contracts, offer letters, and HR policy documents following legal best practices. Use when drafting employment agreements, creating HR policies, or standardizing employment documentation.
Generate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.
Analyze compensation — benchmarking, band placement, and equity modeling. Trigger with "what should we pay a [role]", "is this offer competitive", "model this equity grant", or when uploading comp data to find outliers and retention risks.
Run a compliance check on a proposed action, product feature, or business initiative, surfacing applicable regulations, required approvals, and risk areas. Use when launching a feature that touches personal data, when marketing or product proposes something with regulatory implications, or when you need to know which approvals and jurisdictional requirements apply before proceeding.
Draft an offer letter with comp details and terms. Use when a candidate is ready for an offer, assembling a total comp package (base, equity, signing bonus), writing the offer letter text itself, or prepping negotiation guidance for the hiring manager.
Create structured interview plans with competency-based questions and scorecards. Trigger with "interview plan for", "interview questions for", "how should we interview", "scorecard for", or when the user is preparing to interview candidates.