⚠️ EXPERIMENTAL — This skill is provided for educational and informational purposes only. It does NOT constitute legal advice. All responsibility for usage rests with the user. Consult qualified legal professionals before acting on any output.

Privacy Notice Generator

Tools and guidance for drafting GDPR-compliant privacy notices across EU/EEA jurisdictions and audience types, with multi-layer compliance verification.

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Table of Contents

• Tools
  • Privacy Notice Scaffolder
  • Notice Compliance Checker
• Reference Guides
• Workflows
• Troubleshooting
• Success Criteria
• Scope & Limitations
• Anti-Patterns
• Tool Reference

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Clarify First

Before generating the notice, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• Notice type — website, applicant, employee, b2b, b2c, or combined — selects which sections and audience-specific content appear (e.g. works council/monitoring for employee, Art. 14 source disclosure for b2b)
• Jurisdiction — DE/FR/AT/IT/ES/NL/BE/IE/UK — adds local requirements (DE Widerspruchsrecht/TDDDG, FR CNIL, UK ICO) that the compliance checker scores
• Legal basis per processing purpose — Art. 13(1)(c) requires a specific basis per purpose; a generic "applicable law" statement fails the check
• Special features: cookies / AI / international transfers — toggle sections 6, 12, and 13 and the AI Act Art. 50 transparency disclosures

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the notice.

Tools

Privacy Notice Scaffolder

Generates a privacy notice skeleton with all required sections pre-populated with jurisdiction-specific placeholders and legal references.

# Website privacy notice for German jurisdiction
python scripts/privacy_notice_scaffolder.py \
  --notice-type website \
  --jurisdiction DE \
  --data-categories personal,contact,usage,cookies \
  --legal-bases consent,contract,legitimate_interests \
  --has-cookies \
  --has-international-transfers

# Employee notice for French jurisdiction with AI processing
python scripts/privacy_notice_scaffolder.py \
  --notice-type employee \
  --jurisdiction FR \
  --data-categories personal,employment,financial,health \
  --legal-bases contract,legal_obligation,consent \
  --has-ai

# B2C customer notice for UK with all features
python scripts/privacy_notice_scaffolder.py \
  --notice-type b2c \
  --jurisdiction UK \
  --data-categories personal,contact,financial,usage,marketing \
  --legal-bases consent,contract,legitimate_interests \
  --has-cookies --has-ai --has-international-transfers \
  --json

Supported Notice Types:

Type	Audience	Key Sections
website	Website/app visitors	Cookies, analytics, tracking technologies
applicant	Job applicants	Recruitment data, talent pool, retention periods
employee	Employees	Works council, IT monitoring, BYOD, HR data
b2b	Business partners	Art. 14 requirements, source disclosure
b2c	B2C customers	Soft opt-in, payment processing, loyalty
combined	Multiple audiences	Merged sections with audience-specific callouts

Supported Jurisdictions: DE, FR, AT, IT, ES, NL, BE, IE, UK

13-Section Notice Structure:

1. Controller identity and contact
2. DPO contact details
3. Data categories collected
4. Purposes and legal bases
5. Recipients and categories
6. International transfers
7. Retention periods
8. Data subject rights
9. Right to withdraw consent
10. Right to complain to SA
11. Automated decision-making
12. Cookies and tracking (if applicable)
13. AI processing (if applicable)

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Notice Compliance Checker

Validates a privacy notice text against Art. 13/14 GDPR requirements and generates a compliance score with missing/incomplete elements.

# Check a privacy notice file
python scripts/notice_compliance_checker.py privacy_notice.md

# Check with jurisdiction-specific requirements
python scripts/notice_compliance_checker.py privacy_notice.md --jurisdiction DE

# Check with notice type for type-specific validation
python scripts/notice_compliance_checker.py privacy_notice.md \
  --jurisdiction DE --notice-type employee

# JSON output
python scripts/notice_compliance_checker.py privacy_notice.md \
  --jurisdiction FR --notice-type website --json

Checks For:

Category	Elements Checked
Art. 13 Mandatory	Controller identity, DPO contact, purposes, legal bases, recipients, transfers, retention, all 8 rights, automated decisions, consent withdrawal, SA complaint
Art. 14 Additional	Source of data, categories obtained (for indirect collection)
General	Art. 21 right to object prominence, plain language, no placeholders, consistent formatting
Jurisdiction-specific	DE: Widerspruchsrecht prominence, TDDDG; FR: CNIL recommendations; UK: ICO guidance

Output:

• Compliance score (0-100)
• Missing elements (must-fix)
• Incomplete elements (should-improve)
• Jurisdiction-specific findings
• Type-specific findings

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Reference Guides

Notice Types Guide

references/notice_types_guide.md

Detailed guidance for 6 notice types:

• Platform sub-types for website/app notices
• Applicant-specific data categories and retention
• Employee notice with works council and monitoring requirements
• B2B Art. 14 requirements and source disclosure
• B2C soft opt-in and payment processing
• Combined notice merge strategies

Jurisdiction Requirements

references/jurisdiction_requirements.md

Jurisdiction-specific requirements for 9 jurisdictions:

• SA details and registration requirements
• Requirements beyond GDPR baseline
• Standard wording recommendations
• Retention guidance per jurisdiction

Compliance Verification

references/compliance_verification.md

5-layer verification system:

• Jurisdiction-specific checks
• Art. 13/14 mandatory disclosures
• General compliance checks
• Type-specific checks
• AI Act compliance
• Post-generation checklist
• Writing style guide

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Workflows

Workflow 1: SCOPE → INTAKE → DRAFT → VERIFY → DELIVER

Step 1: SCOPE — Determine notice parameters
        → Notice type (website/applicant/employee/b2b/b2c/combined)
        → Jurisdiction (DE/FR/AT/IT/ES/NL/BE/IE/UK)
        → Special features (cookies, AI, international transfers)

Step 2: INTAKE — Gather information
        → Controller identity and DPO
        → Data inventory (categories, sources)
        → Purposes and legal bases per category
        → Recipients and processors
        → Transfer destinations and mechanisms
        → Retention periods per category
        → Cookie/tracking inventory (if website)
        → AI processing details (if applicable)

Step 3: DRAFT — Generate notice skeleton
        → python scripts/privacy_notice_scaffolder.py [params]
        → Fill in placeholders with actual information from intake
        → Add jurisdiction-specific clauses
        → Apply writing style guide (you/your, short sentences, tables)

Step 4: VERIFY — Run compliance checker
        → python scripts/notice_compliance_checker.py notice.md --jurisdiction [J] --notice-type [T]
        → Address all missing elements
        → Address incomplete elements
        → Review jurisdiction-specific findings

Step 5: DELIVER — Finalize and publish
        → Legal review sign-off
        → Technical review (links, formatting, accessibility)
        → Translation QA (if multilingual)
        → Publication with version control
        → Set review trigger calendar

Workflow 2: Notice Update

Step 1: Identify trigger (new processing, regulation change, annual review)
Step 2: Run compliance checker on current notice
Step 3: Identify gaps and required updates
Step 4: Draft updated sections
Step 5: Re-verify with compliance checker
Step 6: Notify data subjects of material changes
Step 7: Update version date and change log

Workflow 3: Multi-Jurisdiction Notice

Step 1: Generate base notice for primary jurisdiction
        → python scripts/privacy_notice_scaffolder.py --jurisdiction [primary] ...
Step 2: Check jurisdiction requirements for additional territories
        → See references/jurisdiction_requirements.md
Step 3: Add jurisdiction-specific supplements
        → DE: TDDDG telecom disclosures, DSK guidance
        → FR: CNIL cookie requirements, LIL specifics
        → UK: ICO guidance, UK transfer mechanisms
Step 4: Verify each jurisdiction version
        → python scripts/notice_compliance_checker.py notice_de.md --jurisdiction DE
        → python scripts/notice_compliance_checker.py notice_fr.md --jurisdiction FR
Step 5: Publish with language/jurisdiction switcher

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Troubleshooting

Problem	Possible Cause	Resolution
Low compliance score despite complete notice	Missing jurisdiction-specific requirements (e.g., DE Widerspruchsrecht prominence)	Run checker with --jurisdiction flag; review jurisdiction_requirements.md for local additions
Scaffolder generates too many sections	Combined notice type includes all audience sections	Use specific notice type instead of combined; or remove irrelevant sections post-generation
Art. 14 findings for direct collection	Checker flags Art. 14 requirements for B2B notice type	Correct — B2B often involves indirect collection; ensure source disclosure is included
Placeholder text in final notice	Template not fully populated	Search for [PLACEHOLDER] and {{variable}} markers; all must be replaced before publication
Cookie section missing from employee notice	Employee notice type does not include cookies by default	Add --has-cookies flag if employee-facing systems use cookies/tracking
AI section not generated	Missing --has-ai flag	Re-run scaffolder with --has-ai; review AI Act Art. 50 transparency requirements

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Success Criteria

• 100% Art. 13/14 compliance score — all mandatory disclosure elements present; zero missing items
• Jurisdiction-specific requirements met — compliance checker confirms local SA requirements addressed
• Type-specific requirements met — notice covers all audience-specific data processing activities
• No placeholder text remaining — all template variables replaced with actual information
• Writing style guide followed — "you/your" voice; short sentences; tables for complex information; precise legal citations
• Legal review completed — qualified privacy counsel sign-off on final notice
• Publication requirements met — accessible, versioned, dated, with change notification mechanism

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Scope & Limitations

In Scope:

• Privacy notice skeleton generation for 6 notice types across 9 jurisdictions
• Compliance checking against Art. 13/14 GDPR mandatory disclosures
• Jurisdiction-specific requirement validation (DE, FR, AT, IT, ES, NL, BE, IE, UK)
• Notice type-specific section generation and validation
• AI Act Art. 50 transparency disclosure sections
• Cookie and tracking technology disclosure sections
• Writing style and plain language guidance

Out of Scope:

• Legal advice on specific legal basis selection — consult qualified privacy counsel
• Translation services — tool generates English templates; professional translation required
• Cookie consent implementation or CMP configuration
• DPIA generation (see dpia-assessment skill)
• Privacy notice hosting or publication infrastructure
• Non-GDPR privacy notice formats (CCPA notice at collection, LGPD notices)
• Sector-specific notices (healthcare, financial services, children's services)

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Anti-Patterns

Anti-Pattern	Why It Fails	Better Approach
Copy-paste from another company	Different processing activities, jurisdictions, and legal bases; exposes liability gaps	Generate skeleton from actual parameters; fill with organization-specific information
One notice for all jurisdictions	Misses jurisdiction-specific requirements (DE TDDDG, FR CNIL, UK ICO); SA enforcement	Generate jurisdiction-specific versions or supplements using scaffolder per jurisdiction
Generic legal bases ("we process your data based on applicable law")	Art. 13(1)(c) requires specific legal basis per purpose; generic statement is non-compliant	Map each processing purpose to specific Art. 6(1) basis; document in purpose-basis table
Set and forget	Processing activities change; regulations evolve; notices become inaccurate	Set review triggers (see compliance_verification.md); run compliance checker quarterly
Overly legalistic language	Recital 58 requires clear and plain language; complex legal jargon is non-compliant	Follow writing style guide: "you/your" voice, short sentences, tables, examples

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Tool Reference

privacy_notice_scaffolder.py

Generates a privacy notice skeleton based on notice type, jurisdiction, and processing parameters.

Flag	Required	Description
--notice-type <type>	Yes	Notice type: website, applicant, employee, b2b, b2c, combined
--jurisdiction <code>	Yes	Jurisdiction: DE, FR, AT, IT, ES, NL, BE, IE, UK
--data-categories <list>	Yes	Comma-separated: personal, contact, usage, cookies, financial, health, employment, marketing, biometric
--legal-bases <list>	Yes	Comma-separated: consent, contract, legal_obligation, legitimate_interests, vital_interests, public_task
--has-cookies	No	Include cookies and tracking section
--has-ai	No	Include AI and automated processing section
--has-international-transfers	No	Include international transfers section
--json	No	Output in JSON format

notice_compliance_checker.py

Validates a privacy notice against Art. 13/14 GDPR requirements.

Flag	Required	Description
<notice_file>	Yes	Path to privacy notice file (markdown or text)
--jurisdiction <code>	No	Jurisdiction for local requirements: DE, FR, AT, IT, ES, NL, BE, IE, UK
--notice-type <type>	No	Notice type for type-specific checks: website, applicant, employee, b2b, b2c, combined
--json	No	Output in JSON format