mirror of
https://github.com/phuryn/pm-skills.git
synced 2026-06-13 15:04:56 +03:00
2.1 KiB
2.1 KiB
description, argument-hint
| description | argument-hint |
|---|---|
| Draft a privacy policy covering data collection, usage, storage, and compliance requirements | <product and data handling context> |
/privacy-policy -- Privacy Policy Generator
Draft a comprehensive privacy policy for your product. Covers data types, jurisdiction, compliance (GDPR, CCPA), and marks clauses needing legal review.
Invocation
/privacy-policy SaaS analytics tool that collects user behavior data — serving US and EU customers
/privacy-policy Mobile app with location data and third-party integrations
Workflow
Step 1: Gather Context
Ask:
- What product or service?
- What data is collected? (personal info, usage data, cookies, location, payment)
- Where are your users? (determines applicable regulations: GDPR, CCPA, etc.)
- Any third-party data sharing? (analytics, advertising, integrations)
- Data storage: where and how long?
- Age restrictions? (COPPA considerations)
Step 2: Draft the Policy
Apply the privacy-policy skill:
Generate sections covering:
- What data is collected and how
- How data is used (purposes)
- Legal basis for processing (GDPR)
- Data sharing and third parties
- Data retention and deletion
- User rights (access, deletion, portability, opt-out)
- Cookie policy
- Security measures
- Children's privacy (if applicable)
- International transfers
- Contact information
- Policy update process
Step 3: Deliver
## Privacy Policy: [Product]
[Full policy text]
### Compliance Checklist
| Regulation | Status | Notes |
|-----------|--------|-------|
### Clauses Requiring Legal Review
| Clause | Why | Priority |
|--------|-----|----------|
### Implementation Checklist
- [ ] Cookie consent banner
- [ ] Data subject request process
- [ ] Data processing records
- [ ] DPA with processors
Save as markdown. Offer DOCX export.
Notes
- This is a template — legal counsel should review before publishing
- GDPR and CCPA have specific requirements that can't be approximated — flag where expert review is essential
- Privacy policies should be in plain language, not legalese
- Update the policy when data practices change, not just annually