data-privacy

Assess GDPR compliance, consent, retention, PII detection, and anonymization.

1|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/manolakis/agents-and-skills --skill data-privacy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-privacy
Source: https://github.com/manolakis/agents-and-skills/tree/main/.github/skills/data-privacy
Command: npx skills add https://github.com/manolakis/agents-and-skills --skill data-privacy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical need for data privacy compliance by ensuring adherence to GDPR obligations, managing user consent, enforcing data retention policies, detecting Personally Identifiable Information (PII), and anonymizing sensitive data with realistic synthetic replacements.

Core Features & Use Cases

  • GDPR Compliance Assessment: Verifies legal bases for data processing, consent validity, and data subject rights.
  • Consent Management: Reviews consent mechanisms against GDPR requirements and common patterns.
  • Data Retention Policy Enforcement: Assesses defined retention periods, legal bases, and automated deletion.
  • PII Detection & Anonymisation: Identifies various PII categories (direct, indirect, special category) and replaces them with synthetic data.
  • Use Case: A company launching a new feature needs to ensure its data handling practices comply with GDPR. This Skill can audit the feature's data collection, consent flows, and retention periods, and anonymize any user data used in testing environments.

Quick Start

Use the data-privacy skill to perform a full data privacy review of the provided documentation.

Frequently Asked Questions about data-privacy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check GDPR compliance for new data collection features?

To check GDPR compliance, verify legal bases for data processing, validate consent mechanisms, and enforce data retention policies. This process ensures personal data handling adheres to regulatory requirements and protects user privacy.

What is the best way to detect and anonymize PII in testing environments?

The best way to anonymize PII is by identifying direct, indirect, and special category personally identifiable information, then replacing sensitive data with realistic synthetic replacements to protect user privacy in testing environments.

How does consent management work under GDPR?

Consent management under GDPR works by reviewing your consent mechanisms against regulatory requirements and common patterns. It validates that user consent is properly obtained before processing personal data.

Can I automate data retention policy enforcement and deletion?

Yes, you can enforce data retention policies by assessing defined retention periods, verifying their legal bases, and implementing automated deletion. This ensures data is not kept longer than necessary.

When do I need to reference specific GDPR articles for data processing?

You need to reference specific GDPR articles when auditing data handling practices to ensure regulatory adherence. Reporting with GDPR article references validates the legal basis for personal data processing and retention.