# Data Privacy UX

> Privacy-first design, consent patterns, data collection transparency, and GDPR-compliant UX.

- Skill: `dragoon0x/data-privacy-ux` (Agent Skill)
- Install (CLI): `npx skillmds@latest add dragoon0x/data-privacy-ux`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dragoon0x/data-privacy-ux/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dragoon0x (https://skillmd.com/u/dragoon0x)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/dragoon0x/data-privacy-ux

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# Data Privacy UX

## Consent Patterns

### Cookie Banner
- Equal visual weight for Accept and Reject
- Don't use dark patterns (tiny reject link, pre-checked boxes)
- Granular options (essential, analytics, marketing)
- Remember choice (don't ask every visit)

### Permission Requests
- Ask in context (when user is about to use the feature)
- Explain why you need it (before the system prompt)
- Show what they get in return
- Allow using the product without granting (degrade gracefully)

## Data Collection Rules
1. Collect minimum necessary data
2. Explain what you collect and why (plain language, not legal)
3. Show what data you have about the user (data export)
4. Allow deletion (right to be forgotten)
5. Don't pre-check marketing consent boxes
6. Separate essential consent from optional consent

## Transparency
- Privacy settings easily findable (not buried 5 levels deep)
- Clear labels: 'We share this with partners' not 'Third-party data sharing'
- Notify users of policy changes before they take effect
- Show data retention periods

## Anti-Patterns
- Dark patterns that make opting out difficult
- 'Accept All' as the only prominent button
- Requiring account creation to view privacy policy
- Collecting data not needed for the service