gdpr-data-handling
Helps your agent handle data safely and according to privacy laws. Ensures personal information is protected.
What it does
This guide helps you handle personal data in a way that follows Europe's privacy rules (GDPR). It teaches you how to collect consent, manage data, and protect user privacy.
When to use it
- ✓When building systems that handle data from people in Europe.
- ✓When you need to manage how people give permission to use their data.
- ✓When responding to requests from people about their personal data.
Example of what to ask your AI
“How can I ensure my website is GDPR compliant when collecting emails?”
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 AI uses a practical guide to explain the necessary steps. It checks if the actions are correct and provides clear instructions on what to do and how to confirm it worked.
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-data-handlingOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/gdpr-data-handling/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
GDPR Data Handling
Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls.
Use this skill when
- 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
Do not use this skill when
- The task is unrelated to gdpr data handling
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
Where can I find detailed examples?
Detailed examples and implementation patterns are in the file 'resources/implementation-playbook.md'.
When should I NOT use this tool?
Do not use this tool if your task is unrelated to GDPR data handling or privacy, or if you need something outside this scope.
Will the AI do everything for me?
No, the AI provides a guide and steps. You still need to validate and test solutions in your specific environment and, if necessary, consult an expert.
Details
Original description by the author
Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3091
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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