gdpr-dsgvo-expert

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill gdpr-dsgvo-expert
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summary

Expert-level EU General Data Protection Regulation (GDPR) and German Datenschutz-Grundverordnung (DSGVO) compliance with comprehensive data protection auditing, privacy impact assessment, and regulatory compliance verification capabilities.

skill.md

Senior GDPR/DSGVO Expert and Auditor

Expert-level EU General Data Protection Regulation (GDPR) and German Datenschutz-Grundverordnung (DSGVO) compliance with comprehensive data protection auditing, privacy impact assessment, and regulatory compliance verification capabilities.

Core GDPR/DSGVO Competencies

1. GDPR/DSGVO Compliance Framework Implementation

Design and implement comprehensive data protection compliance programs ensuring systematic GDPR/DSGVO adherence.

GDPR Compliance Framework:

GDPR/DSGVO COMPLIANCE IMPLEMENTATION
├── Legal Basis and Lawfulness
│   ├── Lawful basis identification (Art. 6)
│   ├── Special category data processing (Art. 9)
│   ├── Criminal conviction data (Art. 10)
│   └── Consent management and documentation
├── Individual Rights Implementation
│   ├── Right to information (Art. 13-14)
│   ├── Right of access (Art. 15)
│   ├── Right to rectification (Art. 16)
│   ├── Right to erasure (Art. 17)
│   ├── Right to restrict processing (Art. 18)
│   ├── Right to data portability (Art. 20)
│   └── Right to object (Art. 21)
├── Accountability and Governance
│   ├── Data protection policies and procedures
│   ├── Records of processing activities (Art. 30)
│   ├── Data protection impact assessments (Art. 35)
│   └── Data protection by design and default (Art. 25)
└── International Data Transfers
    ├── Adequacy decisions (Art. 45)
    ├── Standard contractual clauses (Art. 46)
    ├── Binding corporate rules (Art. 47)
    └── Derogations (Art. 49)

2. Privacy Impact Assessment (DPIA) Implementation

Conduct systematic Data Protection Impact Assessments ensuring comprehensive privacy risk identification and mitigation.

DPIA Process Framework:

  1. DPIA Threshold Assessment

    • Systematic large-scale processing evaluation
    • Special category data processing assessment
    • High-risk processing activity identification
    • Decision Point: Determine DPIA necessity per Article 35
  2. DPIA Execution Process

    • Processing Description: Comprehensive data processing analysis
    • Necessity and Proportionality: Legal basis and purpose limitation assessment
    • Privacy Risk Assessment: Risk identification, analysis, and evaluation
    • Mitigation Measures: Risk reduction and residual risk management
  3. DPIA Documentation and Review

    • DPIA report preparation and stakeholder consultation
    • Data Protection Officer (DPO) consultation and advice
    • Supervisory authority consultation (if required)
    • DPIA monitoring and review processes

3. Data Subject Rights Management

Implement comprehensive data subject rights fulfillment processes ensuring timely and effective rights exercise.

Data Subject Rights Framework:

DATA SUBJECT RIGHTS IMPLEMENTATION
├── Rights Request Management
│   ├── Request receipt and verification
│   ├── Identity verification procedures
│   ├── Request assessment and classification
│   └── Response timeline management
├── Rights Fulfillment Processes
│   ├── Information provision (privacy notices)
│   ├── Data access and copy provision
│   ├── Data rectification and correction
│   ├── Data erasure and deletion
│   ├── Processing restriction implementation
│   ├── Data portability and transfer
│   └── Objection handling and opt-out
├── Complex Rights Scenarios
│   ├── Conflicting rights balancing
│   ├── Third-party rights considerations
│   ├── Legal obligation conflicts
│   └── Legitimate interest assessments
└── Rights Response Documentation
    ├── Decision rationale documentation
    ├── Technical implementation evidence
    ├── Timeline compliance verification
    └── Appeal and complaint procedures

4. German DSGVO Specific Requirements

Address German-specific implementation of GDPR including national derogations and additional requirements.

German DSGVO Specificities:

  • BDSG Integration: Federal Data Protection Act coordination with GDPR
  • Länder Data Protection Laws: State-specific data protection requirements
  • Sectoral Regulations: Healthcare, telecommunications, and financial services
  • German Supervisory Authorities: Federal and state data protection authority coordination

Advanced GDPR Applications

Healthcare Data Protection (Medical Device Context)

Implement specialized data protection measures for healthcare data processing in medical device environments.

Healthcare GDPR Compliance:

  1. Health Data Processing Framework

    • Health data classification and special category handling
    • Medical research and clinical trial data protection
    • Patient consent management and documentation
    • Decision Point: Determine appropriate legal basis for health data processing
  2. Medical Device Data Protection

    • For Connected Devices: Follow references/device-data-protection.md
    • For Clinical Systems: Follow references/clinical-data-protection.md
    • For Research Platforms: Follow references/research-data-protection.md
    • Cross-border health data transfer management
  3. Healthcare Stakeholder Coordination

    • Healthcare provider data processing agreements
    • Medical device manufacturer responsibilities
    • Clinical research organization compliance
    • Patient rights exercise in healthcare context

International Data Transfer Compliance

Manage complex international data transfer scenarios ensuring GDPR Chapter V compliance.

International Transfer Framework:

  1. Transfer Mechanism Assessment

    • Adequacy decision availability and scope
    • Standard Contractual Clauses (SCCs) implementation
    • Binding Corporate Rules (BCRs) development
    • Certification and code of conduct utilization
  2. Transfer Risk Assessment

    • Third country data protection law analysis
    • Government access and surveillance risk evaluation
    • Data subject rights enforceability assessment
    • Additional safeguard necessity determination
  3. Supplementary Measures Implementation

    • Technical measures: encryption, pseudonymization, access controls
    • Organizational measures: data minimization, purpose limitation, retention
    • Contractual measures: additional processor obligations, audit rights
    • Procedural measures: transparency, redress mechanisms

GDPR Audit and Assessment

GDPR Compliance Auditing

Conduct systematic GDPR compliance audits ensuring comprehensive data protection verification.

GDPR Audit Methodology:

  1. Audit Planning and Scope

    • Data processing inventory and risk assessment
    • Audit scope definition and stakeholder identification
    • Audit criteria and methodology selection
    • Audit Team Assembly: Technical and legal competency requirements
  2. Audit Execution Process

    • Legal Compliance Assessment: GDPR article-by-article compliance verification
    • Technical Measures Review: Data protection by design and default implementation
    • Organizational Measures Evaluation: Policies, procedures, and training effectiveness
    • Documentation Review: Records of processing, DPIAs, and data subject communications
  3. Audit Finding and Reporting

    • Non-compliance identification and risk assessment
    • Improvement recommendation development
    • Regulatory reporting obligation assessment
    • Remediation planning and timeline development

Privacy Risk Assessment

Conduct comprehensive privacy risk assessments ensuring systematic privacy risk management.

Privacy Risk Assessment Framework:

  • Data Flow Analysis: Comprehensive data processing mapping and analysis
  • Privacy Risk Identification: Personal data processing risk evaluation
  • Risk Impact Assessment: Individual and organizational privacy impact
  • Risk Mitigation Planning: Privacy control implementation and effectiveness

External Audit Preparation

Prepare organization for supervisory authority investigations and external privacy audits.

External Audit Readiness:

  1. Supervisory Authority Preparation

    • Investigation response procedures and protocols
    • Documentation organization and accessibility
    • Personnel training and communication coordination
    • Legal Representation: External counsel coordination and support
  2. Compliance Verification

    • Internal audit completion and issue resolution
    • Documentation completeness and accuracy verification
    • Process implementation and effectiveness demonstration
    • Continuous monitoring and improvement evidence

Data Protection Officer (DPO) Support

DPO Function Support and Coordination

Provide comprehensive support to Data Protection Officer functions ensuring effective data protection governance.

DPO Support Framework:

  • DPO Advisory Support: Technical and legal guidance for complex data protection issues
  • DPO Resource Coordination: Cross-functional team coordination and resource provision
  • DPO Training and Development: Ongoing competency development and regulatory updates
  • DPO Independence Assurance: Organizational independence and conflict of interest management

Data Protection Governance

Establish comprehensive data protection governance ensuring organizational accountability and compliance.

Governance Structure:

  • Data Protection Committee: Cross-functional data protection decision-making body
  • Privacy Steering Group: Strategic privacy program oversight and direction
  • Data Protection Champions: Departmental privacy representatives and coordination
  • Privacy Compliance Network: Organization-wide privacy competency and awareness

GDPR Performance and Continuous Improvement

Privacy Program Performance Metrics

Monitor comprehensive privacy program performance ensuring continuous improvement and compliance demonstration.

Privacy Performance KPIs:

  • Compliance Rate: GDPR requirement implementation and adherence rates
  • Data Subject Rights: Request fulfillment timeliness and accuracy
  • Privacy Risk Management: Risk identification, assessment, and mitigation effectiveness
  • Incident Management: Data breach response and notification compliance
  • Training Effectiveness: Privacy awareness and competency development

Privacy Program Optimization

Continuously improve privacy program through regulatory monitoring, best practice adoption, and technology integration.

Program Enhancement:

  1. Regulatory Intelligence

    • GDPR interpretation guidance and supervisory authority positions
    • Case law development and regulatory enforcement trends
    • Industry best practice evolution and adoption
    • Technology Innovation: Privacy-enhancing technology evaluation and implementation
  2. Privacy Program Evolution

    • Process optimization and automation opportunities
    • Cross-border compliance harmonization
    • Stakeholder feedback integration and response
    • Privacy culture development and maturation

Resources

scripts/

  • gdpr-compliance-checker.py: Comprehensive GDPR compliance assessment and verification
  • dpia-automation.py: Data Protection Impact Assessment workflow automation
  • data-subject-rights-tracker.py: Individual rights request management and tracking
  • privacy-audit-generator.py: Automated privacy audit checklist and report generation

references/

  • gdpr-implementation-guide.md: Complete GDPR compliance implementation framework
  • dsgvo-specific-requirements.md: German DSGVO implementation and national requirements
  • device-data-protection.md: Medical device data protection compliance guidance
  • international-transfer-guide.md: Chapter V international transfer compliance
  • privacy-audit-methodology.md: Comprehensive GDPR audit procedures and checklists

assets/

  • gdpr-templates/: Privacy notice, consent, and data subject rights response templates
  • dpia-tools/: Data Protection Impact Assessment worksheets and frameworks
  • audit-checklists/: GDPR compliance audit and assessment checklists
  • training-materials/: Data protection awareness and compliance training programs
how to use gdpr-dsgvo-expert

How to use gdpr-dsgvo-expert on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add gdpr-dsgvo-expert
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill gdpr-dsgvo-expert

The skills CLI fetches gdpr-dsgvo-expert from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gdpr-dsgvo-expert

Reload or restart Cursor to activate gdpr-dsgvo-expert. Access the skill through slash commands (e.g., /gdpr-dsgvo-expert) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.565 reviews
  • Isabella Abbas· Dec 28, 2024

    Registry listing for gdpr-dsgvo-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Carlos Sethi· Dec 20, 2024

    I recommend gdpr-dsgvo-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sophia Martin· Dec 20, 2024

    Keeps context tight: gdpr-dsgvo-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Isabella Park· Dec 12, 2024

    I recommend gdpr-dsgvo-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 8, 2024

    Registry listing for gdpr-dsgvo-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sofia Tandon· Dec 8, 2024

    Solid pick for teams standardizing on skills: gdpr-dsgvo-expert is focused, and the summary matches what you get after install.

  • Oshnikdeep· Nov 27, 2024

    Solid pick for teams standardizing on skills: gdpr-dsgvo-expert is focused, and the summary matches what you get after install.

  • Mateo Brown· Nov 27, 2024

    Registry listing for gdpr-dsgvo-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Omar Rao· Nov 19, 2024

    Solid pick for teams standardizing on skills: gdpr-dsgvo-expert is focused, and the summary matches what you get after install.

  • Lucas Mehta· Nov 11, 2024

    Useful defaults in gdpr-dsgvo-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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