GDPR-compliant data handling with consent management, data subject rights, and privacy controls.
Works with
Implements consent management with audit trails, data subject access requests (DSARs), erasure, portability, and rectification workflows
Provides data retention policies with legal basis tracking, anonymization options, and automated enforcement
Includes breach notification handling with 72-hour authority reporting and affected individual notification workflows
Covers privacy-by-design
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongdpr-data-handlingExecute the skills CLI command in your project's root directory to begin installation:
Fetches gdpr-data-handling from wshobson/agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gdpr-data-handling. Access via /gdpr-data-handling in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls.
| 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 |
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
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) ─┘
// Consent data model
const consentSchema = {
userId: String,
consents: [
{
purpose: String, // 'marketing', 'analytics', etc.
granted: Boolean,
timestamp: Date,
source: String, // 'web_form', 'api', etc.
version: String, // Privacy policy version
ipAddress: String, // For proof
userAgent: String, // For proof
},
],
auditLog: [
{
action: String, // 'granted', 'withdrawn', 'updated'
purpose: String,
timestamp: Date,
source: String,
},
],
};
// Consent service
class ConsentManager {
async recordConsent(userId, purpose, granted, metadata) {
const consent = {
purpose,
granted,
timestamp: new Date(),
source: metadata.source,
version: await this.getCurrentPolicyVersion(),
ipAddress: metadata.ipAddress,
userAgent: metadata.userAgent,
};
// Store consent
await this.db.consents.updateOne(
{ userId },
{
$push: {
consents: consent,
auditLog: {
action: granted ? "granted" : "withdrawn",
purpose,
timestamp: consent.timestamp,
source: metadata.source,
},
},
},
{ upsert: true },
);
// Emit event for downstream systems
await this.eventBus.emit("consent.changed", {
userId,
purpose,
granted,
timestamp: consent.timestamp,
});
}
async hasConsent(userId, purpose) {
const record = await this.db.consents.findOne({ userId });
if (!record) return false;
const latestConsent = record.consents
.filter((c) => c.purpose === purpose)
.sort((a, b) => b.timestamp - a.timestamp)[0];
return latestConsent?.granted === true;
}
async getConsentHistory(userId) {
const record = await this.db.consents.findOne({ userId });
return record?.auditLog || [];
}
}
<!-- GDPR-compliant consent UI -->
<div class="consent-banner" role="dialog" aria-labelledby="consent-title">
<h2 id="consent-title">Cookie Preferences</h2>
<p>
We use cookies to improve your experience. Select your preferences below.
</p>
<form id="consent-form">
<!-- Necessary - always on, no consent needed -->
<div class="consent-category">
<input type="checkbox" id="necessary" checked disabled />
<label for="necessary">
<strong>Necessary</strong>
<span>Required for the website to function. Cannot be disabled.✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.7★★★★★72 reviews- TTariq Thompson★★★★★Dec 28, 2024
Keeps context tight: gdpr-data-handling is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AArjun Malhotra★★★★★Dec 28, 2024
gdpr-data-handling reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMichael Diallo★★★★★Dec 24, 2024
We added gdpr-data-handling from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAva Brown★★★★★Dec 16, 2024
gdpr-data-handling is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAisha Jackson★★★★★Dec 12, 2024
gdpr-data-handling reduced setup friction for our internal harness; good balance of opinion and flexibility.
- RRahul Santra★★★★★Nov 27, 2024
Useful defaults in gdpr-data-handling — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ZZara Tandon★★★★★Nov 19, 2024
gdpr-data-handling is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- YYusuf Malhotra★★★★★Nov 19, 2024
We added gdpr-data-handling from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- YYuki Martinez★★★★★Nov 15, 2024
gdpr-data-handling reduced setup friction for our internal harness; good balance of opinion and flexibility.
- FFatima Huang★★★★★Nov 7, 2024
Keeps context tight: gdpr-data-handling is the kind of skill you can hand to a new teammate without a long onboarding doc.
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