privacy-compliance-ops

Mapping privacy compliance requirements to engineering controls involves tying regulatory mandates for data minimization and PII handling to concrete product workflows. This Skill generates policy-to-implementation mapping with explicit artifacts and acceptance criteria.

DSAR handling and privacy audits require structured artifacts like data flow diagrams, retention schedules, and DSAR standard operating procedures. This Skill provides end-to-end artifact templates to satisfy compliance review requirements.

Creating a privacy intake checklist with risk rating guidance requires evaluating privacy-related change requests against data minimization and access control criteria. This Skill generates concrete intake checklists and risk rating guidance for product workflows.

Yes, logging redaction and retention policy enforcement are supported for AI SaaS platforms. This Skill automates planning for secure logging practices and retention schedules, turning privacy risks into auditable controls across workflows.

Data minimization planning requires explicit acceptance criteria and risk ratings to ensure auditable compliance. This Skill satisfies those requirements by generating actionable program plans with concrete intake checklists and artifact templates.