gdpr-data-handling

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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.

AI & Automation 36,166 stars 3920 forks Updated yesterday MIT

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Skill Content

# 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 ...

Details

Author
wshobson
Repository
wshobson/agents
Created
10 months ago
Last Updated
yesterday
Language
Python
License
MIT

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