gdpr-compliance
Lets your agent implement GDPR data protection requirements. Allows managing consent and user rights. Useful when handling personal data in Europe.
What it does
This tool helps ensure a company follows the European Union's data protection rules (GDPR). It assists in managing how personal data is collected, used, and protected.
When to use it
- ✓When collecting information from people in the European Union.
- ✓When deciding how to store and protect customer data.
- ✓When needing to explain to users how their data is used.
Example of what to ask your AI
“How can I ensure email collection for marketing is GDPR compliant?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool helps document legal bases for data processing, like obtaining consent and setting data retention periods. It also suggests security measures to protect information.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill gdpr-complianceOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/gdpr-compliance/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
GDPR Compliance
Implement General Data Protection Regulation requirements for organizations that process personal data of EU/EEA residents, covering lawful processing, data subject rights, and technical safeguards.
Key Principles and Legal Bases
gdpr_principles:
article_5:
lawfulness_fairness_transparency:
description: "Process data lawfully, fairly, and transparently"
implementation:
- Document legal basis for every processing activity
- Provide clear privacy notices
- No hidden or deceptive data collection
purpose_limitation:
description: "Collect for specified, explicit, and legitimate purposes"
implementation:
- Define purpose before collection
- Do not repurpose data without new legal basis
- Document all processing purposes in ROPA
data_minimization:
description: "Adequate, relevant, and limited to what is necessary"
implementation:
- Collect only required fields
- Review data models for unnecessary fields
- Remove optional fields that are not used
accuracy:
description: "Accurate and kept up to date"
implementation:
- Provide self-service profile editing
- Implement data validation at point of entry
- Schedule regular data quality reviews
storage_limitation:
description: "Kept no longer than necessary"
implementation:
- Define retention periods per data category
- Automate deletion when retention expires
- Document retention schedule
integrity_and_confidentiality:
description: "Appropriate security measures"
implementation:
- Encryption at rest and in transit
- Access controls and audit logging
- Pseudonymization where appropriate
accountability:
description: "Demonstrate compliance"
implementation:
- Maintain Records of Processing Activities
- Conduct DPIAs for high-risk processing
- Appoint DPO if required
legal_bases:
article_6:
consent: "Freely given, specific, informed, unambiguous"
contract: "Necessary for performance of a contract"
legal_obligation: "Required by EU or member state law"
vital_interests: "Protect life of data subject or another person"
public_interest: "Task carried out in public interest"
legitimate_interest: "Legitimate interest not overridden by data subject rights"
Data Mapping Template (Records of Processing Activities)
# Record of Processing Activities (ROPA) - Article 30
processing_activity:
name: "Customer Account Management"
controller: "Example Corp, 123 Main St, Dublin, Ireland"
dpo_contact: "dpo@example.com"
purpose: "Manage customer accounts, provide services, handle billing"
legal_basis: "Contract (Art. 6(1)(b))"
categories_of_data_subjects:
- Customers
- Prospective customers
categories_of_personal_data:
- Name, email, phone number
- Billing address
- Payment information (tokenized)
- Service usage data
- Support ticket history
special_categories: "None"
recipients:
- Payment processor (Stripe) - processor
- Email service (SendGrid) - processor
- Cloud hosting (AWS) - processor
international_transfers:
- Destination: United States
Safeguard: "Standard Contractual Clauses (SCCs)"
TIA_completed: true
retention_period: "Account data retained for duration of contract + 7 years for legal obligations"
security_measures:
- AES-256 encryption at rest
- TLS 1.3 in transit
- Role-based access control
- Audit logging of all access
dpia_required: false
last_reviewed: "2024-06-01"
# Template for each processing activity
processing_activity_template:
name: ""
controller: ""
joint_controller: "" # if applicable
processor: "" # if acting as processor
dpo_contact: ""
purpose: ""
legal_basis: "" # consent | contract | legal_obligation | vital_interests | public_interest | legitimate_interest
legitimate_interest_assessment: "" # if legitimate interest
categories_of_data_subjects: []
categories_of_personal_data: []
special_categories: "" # Art. 9 data
recipients: []
international_transfers: []
retention_period: ""
security_measures: []
dpia_required: false
date_added: ""
last_reviewed: ""
Consent Management Implementation
"""
Consent management system implementing GDPR Article 7 requirements.
…
FAQ
What is GDPR?
GDPR is a European Union law that protects the privacy and personal data of individuals.
Do I need this if my company isn't in the EU?
If you process data of people who are in the EU, yes, you need to be compliant.
What are 'data subject rights'?
These are the rights individuals have over their own data, like the right to access, correct, or delete it.
Details
Original description by the author
Implement GDPR data protection requirements. Configure consent management, data subject rights, and privacy by design. Use when processing EU personal data.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3090
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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