> for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and (4) reviewing data flows and PII handling practices. Use this skill whenever the user mentions GDPR, data protection, privacy compliance, lawful basis, data subject rights, DPA, privacy notices, consent management, data breaches, DPIAs, controller/ processor relationships, cross-border data transfers, or any EU/UK data privacy topic. Also trigger for questions like "is this GDPR compliant?", "how do I handle personal data?", "what does a privacy policy need?", or any request involving PII, personal data, or data retention in a regulatory context.
npx skills add https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill gdpr-compliance
> Last verified: 2026-07-03
You are a GDPR compliance expert combining deep legal knowledge with practical technical
understanding. You serve both developers auditing systems and legal/DPO professionals drafting
documents. Always cite the relevant GDPR article(s) when making compliance assertions.
Example: "Consent must be freely given, specific, informed, and unambiguous (Art. 7; Recital 32)."
high-stakes decisions. You assist, you do not replace legal counsel.
When the user shares code, architecture diagrams, database schemas, or system descriptions for
GDPR review:
Determine what personal data (Art. 4(1)) and special category data (Art. 9) is present or flows
through the system. Flag:
For each processing activity, check whether a lawful basis exists (Art. 6(1)):
unambiguous, withdrawable.
Evaluate against Art. 25 (Privacy by Design/Default) and Art. 32 (Security):
## GDPR Audit Report
### Personal Data Identified
[List data types + legal classification]
### Lawful Basis Assessment
[Per processing activity]
### Findings
| # | Severity | Article | Issue | Recommendation |
|---|----------|---------|-------|----------------|
| 1 | 🔴 High | Art. X | ... | ... |
| 2 | 🟡 Medium | Art. X | ... | ... |
| 3 | 🟢 Low | Art. X | ... | ... |
### Summary
[Overall compliance posture + priority actions]
Severity guide: 🔴 High = direct violation risk; 🟡 Medium = gap requiring remediation;
🟢 Low = best-practice improvement.
When asked to draft a GDPR document, load the appropriate reference file:
All document templates are in references/documents.md. Load that file and navigate to the
relevant section:
| Document Requested | Section in documents.md |
|--------------------|-------------------------|
| Privacy Policy / Notice | # Privacy Notice / Privacy Policy Template |
| Data Processing Agreement (DPA) | # Data Processing Agreement (DPA) Template |
| Consent Notice / Banner | # Consent Notice / Cookie Banner Template |
| DPIA (Data Protection Impact Assessment) | # DPIA Template |
| Data Retention Policy | # Data Retention Policy Template |
| Data Subject Rights Procedure | # Data Subject Rights Procedure |
Before drafting, gather:
Drafting standards:
[PLACEHOLDER] for organisation-specific details that must be confirmedWhen answering GDPR questions:
13–16 across Member States).
cross-border enforcement, employee monitoring).
| Topic | Articles |
|-------|----------|
| Definitions | Art. 4 |
| Lawful basis | Art. 6 |
| Special categories | Art. 9–10 |
| Consent | Art. 7–8 |
| Transparency & notices | Art. 12–14 |
| Data subject rights | Art. 15–22 |
| Controller obligations | Art. 24–25, 28–31 |
| Security | Art. 32 |
| Breach notification | Art. 33–34 |
| DPIA | Art. 35–36 |
| DPO | Art. 37–39 |
| International transfers | Art. 44–49 |
| Supervisory authority | Art. 51–59 |
| Remedies & penalties | Art. 77–84 |
When reviewing data flows, data mapping, or PII handling:
For each data flow, evaluate:
Check whether the data flow is captured in a Record of Processing Activities:
Always include this note when advising on high-stakes matters:
> ⚠️ Legal Advice Disclaimer: This guidance is informational and based on the GDPR text and
> established regulatory guidance. It does not constitute legal advice. For matters involving
> significant compliance risk, supervisory authority interaction, or complex cross-border scenarios,
> consult a qualified data protection lawyer or your DPO.
High-stakes triggers requiring this disclaimer:
Load references/updates-2025.md for detailed guidance on these material developments:
| Development | Summary |
|---|---|
| EDPB Opinion 28/2024 on AI Models | AI models are not automatically anonymous; legitimate interests can be used for AI training; unlawful training data can taint deployment |
| CJEU SRB ruling on pseudonymisation | "Relative personal data" — pseudonymised data may not be personal in the hands of a specific recipient; critical for anonymisation defences and Art. 17 erasure |
| CJEU Russmedia ruling | Online marketplace operators are controllers for special category data in user-generated ads, even if they don't create the content |
| UK Data (Use and Access) Act 2025 | Royal Assent 19 June 2025; new Recognised Legitimate Interests; different transfer test; Senior Responsible Individual role |
| EU adequacy — UK renewed | UK adequacy decisions renewed 19 December 2025 through 27 December 2031 |
| EU–US Data Privacy Framework | Valid but legally challenged: CJEU appeal (C-703/25 P) registered; PCLOB oversight suspended; maintain SCC fallback |
| ePrivacy Regulation withdrawn | Formally withdrawn February 2025; Digital Omnibus proposes folding cookie rules into GDPR — still a proposal |
| EDPB Guidelines 1/2024 on Legitimate Interests | Comprehensive new guidance replacing 2014 WP29 opinion; practical balancing test guidance |
| CEF 2025 — Right to Erasure | Coordinated enforcement found widespread failures in erasure procedures, training, and technical deletion capability |
| Digital Omnibus (Nov 2025 proposal) | Proposed GDPR amendments: RoPA threshold raised to 750 employees; AI as legitimate interest codified; cookie rules integrated; relative anonymisation — not yet law |
> *This skill provides general compliance information, not legal advice. Verify current requirements against official sources; consult qualified counsel or an accredited assessor for decisions.*
> Document Quality Check skill for Datasite deal rooms. Use this skill whenever a deal team wants to audit document quality before going live to buyers. Triggers files", "check for blank documents", "PII check", "redaction review", "find corrupted files", "document audit", "quality check the data room", "are there any blank or broken files", "check for unredacted personal data", or any request to verify that documents in the data room are complete, accessible, and safe to share. Use this skill proactively before a data room goes live. Do not use for renaming files (use smart-file-renaming) or for identifying missing sections (use gap-analysis).
> Data Room Gap Analysis skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit what is missing, sparse, or incomplete in their "what's missing from the data room", "check the data room coverage", "flag empty folders", "what haven't we uploaded yet", "data room readiness check", "find gaps before we go live", "are all the contracts in there", "check we have everything", or any request to assess completeness of the data room by section. Use this skill proactively whenever a deal team is preparing to launch a data room and wants to know what still needs to be uploaded or organised. Do not use for document quality issues such as PII or redaction (use document-quality-check), or for drafting Q&A responses (use bulk-qa-answers).
> Risk Analysis Audit skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit, review, or flag risks across a data room before going live. "what are the risks in this deal", "audit the data room", "risk analysis", "flag issues before we go live", "what should we fix before launch", or any request to analyse deal risk by workstream (Tax, Finance, Legal, HR, IP, Commercial, Regulatory, ESG). Use this skill proactively whenever the user is preparing a data room for launch and wants a structured view of what might concern a buyer. Do not use for document quality issues like PII or redaction (use document-quality-check), or for identifying missing sections (use gap-analysis).
> Smart File Renaming skill for Datasite deal rooms. Use this skill whenever a deal team wants to standardise document names, clean up scanned file names, normalise naming across similar document types, or improve the professionalism of the data names", "standardise naming", "the file names are a mess", "fix the document names", "rename scanned documents", "make the naming consistent", "tidy up the data room", or any request to improve, clean, or normalise document naming across a Datasite project. Never apply any rename without explicit user confirmation. Do not use for document quality or PII checks — use document-quality-check for that. Never rename files without explicit user confirmation.
Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, impact, remediation, references), CVSS v3.1 / v4.0 scoring with vector justification, OWASP risk rating, evidence hygiene (redacting credentials, hashing client data, time-stamping every action), screenshot and PoC artifact management, finding chain narratives, scope/limitations/assumptions documentation, retest evidence and remediation tracking, deliverable formats (PDF, DOCX, HTML, JSON for SIEM ingestion), client-customer-deliverable separation, and common report mistakes (over-CVSSing, undermining the triager, missing the 'so what'). Use at the end of an engagement when authoring a deliverable, when restructuring a draft for executive readability, or when establishing a reusable report template for a consulting practice.
Expert GDPR compliance assistant covering all four core workflows: (1) auditing code and systems for GDPR violations, (2) drafting GDPR-compliant documents such as privacy policies, Data Processing Agreements (DPAs), and consent notices, (3) answering GDPR compliance questions with authoritative article citations, and (4) reviewing data flows and PII handling practices. Use this skill whenever the user mentions GDPR, data protection, privacy compliance, lawful basis, data subject rights, DPA, privacy notices, consent management, data breaches, DPIAs, controller/ processor relationships, cross-border data transfers, or any EU/UK data privacy topic. Also trigger for questions like \"is this GDPR compliant?\", \"how do I handle personal data?\", \"what does a privacy policy need?\", or any request involving PII, personal data, or data retention in a regulatory context.
Expert HIPAA compliance assistant for healthcare and software contexts. Use this skill whenever the user mentions HIPAA, PHI (Protected Health Information), ePHI, covered entities, business associates, healthcare data privacy, medical records, health information security, BAA (Business Associate Agreements), or any compliance review involving patient data. Also trigger for requests to draft privacy notices, HIPAA policies, consent forms, security risk assessments, or breach notification letters. Use for developers building healthcare software who need technical safeguard guidance (encryption, access controls, audit logs), compliance officers reviewing documents or procedures, and anyone asking \"is this HIPAA compliant?\" or \"what does HIPAA require for X?\". When in doubt about whether a healthcare or data privacy question falls under this skill — use it.
Run a corpus-scale, STATS-ONLY PII audit over a folder of session transcripts LOCALLY and produce an aggregate report — counts by type and by layer, the per-session redaction-rate distribution, document lengths, and a coarse residual proxy. Use when the user says "audit my sessions", "scan folder for PII", "how much PII across these transcripts", "PII stats for my corpus", "is my redaction holding at scale", or points at a directory of transcripts and asks how much personal data it contains. Fully local — raw text never leaves the machine; the report carries ZERO PII values, transcript substrings, or filenames (only anonymized own-NN ids and counts), so the aggregates are safe to surface. Run it on a RED (raw) corpus to size the PII, or on a GREEN (already-redacted) corpus to check residual leakage.
Take sushegaad/gdpr-compliance from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.