cloak
SolidEngineering privacy and data governance: PII detection, data flow mapping, consent patterns, GDPR/CCPA-compliant implementation, DPIA. Use when privacy-by-design is needed.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- simota
- Repository
- simota/agent-skills
- Created
- 7 months ago
- Last Updated
- today
- Language
- HTML
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
pii-data-flow
Inventorying and governing personally identifiable information (PII) as it flows through a B2B SaaS under LGPD. Covers PII classification (sensitive, regular, public), dataflow mapping, egress tracking (third-party processors, backups, analytics), retention per classification, minimization strategy, and the audit views needed to satisfy Art. 37 Registro de Operações. Use when designing new services that touch user data, onboarding a third-party processor, planning analytics or backup, auditing a live system, or preparing a DPO report. Combines with data-schema-design (core) for PII-safe schemas and with consent-lifecycle (core) for consent propagation.
privacy-check
Evaluates product assumptions and plans for PII handling, user tracking, and data retention risks. Triggered during 'research' and 'blueprint' stages to enforce privacy-by-design.
gdpr
Use when building, shipping, or auditing one of my B2C apps for GDPR/privacy — classify the data posture (offline / Supabase-backed / ships-to-AI-processor), run the decision gates (personal data? lawful basis? processor DPA? transfer? minimization? DSR/erasure?), add a privacy notice, and add privacy-first cookieless analytics without triggering consent. EU GDPR; references security-bar for the controls.