gdpr-data-handling – Data & Science skill for AI agents
Practical implementation guide for GDPR-oriented data-processing design, consent management, and privacy controls.
Install the gdpr-data-handling skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/gdpr-data-handling-02743.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /gdpr-data-handling – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/gdpr-data-handling-02743.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $gdpr-data-handling – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/gdpr-data-handling-02743.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /gdpr-data-handling – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/gdpr-data-handling-02743.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /gdpr-data-handling – then describe the task you want done.
SKILL.md content
GDPR Data Handling
Practical implementation guide for GDPR-oriented data-processing design, 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.
The playbook is partial application scaffolding, not a compliance certification. Database/auth/event/notification helpers and calendar-month deadline computation must be implemented and tested before use; a request-supplied verified boolean is not identity proof. Authenticate/authorize the handler and subject ownership before any export/deletion, filter third-party data and report partial-source failures without marking complete. Portability has specific legal scope and is not identical to access. Retention periods and consent-log fields are illustrative, not universal legal minima; justify collection and apply legal holds/backups/restore handling. Pseudonymisation/removing IDs does not establish anonymity. Breach risk flags require a documented competent assessment, with the controller clock tied to actual awareness; high-risk subject notification is without undue delay and has legal exceptions. Do not dispatch notices or delete data outside the authorized incident/request procedure. See [EDPB rights timing](https://www.edpb.europa.eu/sme/be-compliant/respect-individuals-rights_en) and [EDPB breaches](https://www.edpb.europa.eu/sme/assess-the-risks/data-breaches_en).
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