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gdpr-dsgvo-expert

579 stars 112 forks
0
D

Senior GDPR/DSGVO expert and internal/external auditor for data protection compliance. Provides EU GDPR and German DSGVO expertise, privacy impact assessments, data protection auditing, and compliance verification. Use for GDPR compliance assessments, privacy audits, data protection planning, and regulatory compliance verification.

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#data protection#claude-ai#comprehensive data#claudecode-subagents#claude-ai-skills#data processing#claude-skills#Data Subject

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/gdpr-dsgvo-expert
skilz install alirezarezvani/claude-skills/gdpr-dsgvo-expert --agent opencode
skilz install alirezarezvani/claude-skills/gdpr-dsgvo-expert --agent codex
skilz install alirezarezvani/claude-skills/gdpr-dsgvo-expert --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-skills
2. Copy the agent skill directory:
cp -r claude-skills/ra-qm-team/gdpr-dsgvo-expert ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Owner
alirezarezvani (GitHub)
Repository
claude-skills
Stars
579
Forks
112
Type
Other
Meta-Domain
Primary Domain
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

D
Score: 61/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
12/30
Ease of Use
18/25
Writing Style
7/10
Utility
11/20
Modifiers: +1

Areas to Improve

  • Missing All Reference Files
  • Token-Wasting ASCII Diagrams
  • No Actionable Workflows

Recommendations

  • Focus on improving Pda (currently 12/30)
  • Focus on improving Utility (currently 11/20)
  • Address 3 high-severity issues first

Graded: 2026-01-24

Developer Feedback

I checked out this GDPR skill and noticed you're tackling the compliance side pretty heavily—but I'm curious whether the implementation handles the practical tension between strict EU regulation and real-world deployment constraints, especially for teams operating across regions.

Links:

The TL;DR

You're at 61/100, landing in D territory. This is based on Anthropic's best practices for skill design—specifically their 5-pillar rubric that emphasizes token efficiency and practical utility. Your strongest area is Spec Compliance (12/15)—the metadata and structure are solid. The real drag is Progressive Disclosure Architecture (12/30)—you're bleeding tokens on ASCII diagrams and referencing files that don't exist.

What's Working Well

  • Sharp trigger phrases: "GDPR compliance", "privacy audit", "data protection planning"—these are exactly what someone searching for compliance help would use. Discoverability is solid here.
  • Comprehensive frameworks: You've mapped out the GDPR landscape systematically. The coverage of legal bases (Art. 6, 9, 10), consent management, and DPIAs shows real domain knowledge.
  • Valid YAML frontmatter: Name conventions, metadata structure—all correctly formatted. No technical debt here.

The Big One: Missing Reference Files

Here's the problem: your skill references 5 markdown files and 4 Python scripts that don't exist (device-data-protection.md, clinical-data-protection.md, gdpr-compliance-checker.py, etc.). This tanks your score because:

  1. Reference Depth scores zero (PDA pillar)—you promised layered content but can't deliver it
  2. Utility tanks (11/20)—users can't follow your promised workflows
  3. Feedback loops don't exist (0/4 under Uti...

AI-Detected Topics

Extracted using NLP analysis

data protection claude-ai comprehensive data claudecode-subagents claude-ai-skills data processing claude-skills Data Subject compliance claude-code

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