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Pawel Huryn
77 lines
2.1 KiB
Markdown
77 lines
2.1 KiB
Markdown
---
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description: Draft a privacy policy covering data collection, usage, storage, and compliance requirements
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argument-hint: "<product and data handling context>"
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---
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# /privacy-policy -- Privacy Policy Generator
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Draft a comprehensive privacy policy for your product. Covers data types, jurisdiction, compliance (GDPR, CCPA), and marks clauses needing legal review.
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## Invocation
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```
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/privacy-policy SaaS analytics tool that collects user behavior data — serving US and EU customers
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/privacy-policy Mobile app with location data and third-party integrations
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```
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## Workflow
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### Step 1: Gather Context
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Ask:
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- What product or service?
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- What data is collected? (personal info, usage data, cookies, location, payment)
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- Where are your users? (determines applicable regulations: GDPR, CCPA, etc.)
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- Any third-party data sharing? (analytics, advertising, integrations)
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- Data storage: where and how long?
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- Age restrictions? (COPPA considerations)
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### Step 2: Draft the Policy
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Apply the **privacy-policy** skill:
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Generate sections covering:
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- What data is collected and how
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- How data is used (purposes)
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- Legal basis for processing (GDPR)
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- Data sharing and third parties
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- Data retention and deletion
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- User rights (access, deletion, portability, opt-out)
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- Cookie policy
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- Security measures
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- Children's privacy (if applicable)
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- International transfers
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- Contact information
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- Policy update process
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### Step 3: Deliver
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```
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## Privacy Policy: [Product]
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[Full policy text]
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### Compliance Checklist
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| Regulation | Status | Notes |
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|-----------|--------|-------|
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### Clauses Requiring Legal Review
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| Clause | Why | Priority |
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|--------|-----|----------|
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### Implementation Checklist
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- [ ] Cookie consent banner
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- [ ] Data subject request process
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- [ ] Data processing records
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- [ ] DPA with processors
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```
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Save as markdown. Offer DOCX export.
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## Notes
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- This is a template — legal counsel should review before publishing
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- GDPR and CCPA have specific requirements that can't be approximated — flag where expert review is essential
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- Privacy policies should be in plain language, not legalese
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- Update the policy when data practices change, not just annually
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