skills.rest
resultakak
resultakakCOMMUNITY
Explore all skills by this author →
Website𝕏@resultakakGitHub

privacy-engineering

Automate PII inventory, data-flow mapping, consent events, and DSR processes.

Updated May 11, 2026
Search Tags:#retention#privacy#pii#consent#dpia#pseudonymization#dsr
One-click install
npx skills add https://github.com/resultakak/argos --skill privacy-engineering-resultakak
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: privacy-engineering
Source: https://github.com/resultakak/argos/tree/main/skills/privacy-engineering
Command: npx skills add https://github.com/resultakak/argos --skill privacy-engineering-resultakak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Privacy and compliance teams struggle to operationalize GDPR/KVKK/CCPA/LGPD requirements across data flows, consent events, and data subject requests. This skill provides a codified, executable framework for PII inventory, data-flow mapping, DSC, and automated DSR handling.

Core Features & Use Cases

  • PII inventory and data-flow mapping
  • Automated consent event handling and DPIA gating
  • DSR automation (access, erasure, portability) with auditable trails
  • Pseudonymization and retention enforcement
  • Cross-border transfer governance and vendor DPA signals

Quick Start

Enable the skill to automatically inventory PII, map data flows, and trigger DSR and DPIA workflows.

Frequently Asked Questions about privacy-engineering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate GDPR and CCPA data subject request handling?▼

Automate data subject request handling by triggering access, erasure, and portability workflows that generate auditable trails. This enforces privacy controls across new features and legacy systems while mapping data flows for compliance.

What is the best way to map PII data flows for privacy compliance?▼

Mapping PII data flows is accomplished by inventorying personal data across systems and applying a codified framework for data discovery. This mechanism automatically maps data flows to operationalize GDPR, KVKK, CCPA, and LGPD requirements.

How do I enforce data retention policies and pseudonymization across legacy systems?▼

Enforce data retention and pseudonymization by applying code-level mechanisms to both new feature development and legacy systems. This provides an auditable, policy-driven framework that generates governance signals for compliance teams.

When do I need a DPIA gate for cross-border data transfers?▼

A DPIA gate and cross-border transfer controls are needed when operationalizing privacy governance for international data flows. This framework applies vendor DPA signals and automated consent event handling to satisfy regulatory audits.

Does this privacy engineering framework support automated consent event handling?▼

Yes, automated consent event handling is supported to help compliance teams operationalize privacy requirements. The framework integrates consent management with PII inventory and DSR automation to provide comprehensive governance signals.

Related Skills

Explore More Legal & Compliance Skills→
JCETools-PetraJCETools-Petra
16

compliance-governance

Implement GDPR/SOC2 compliance controls for PII detection, consent, DSAR, audit logging, and retention.

Community
Advanced
HeadyAIHeadyAI
1

heady-audit-forge

Generate and preserve auditable evidence for regulatory compliance and external audits.

Official
Advanced
linfordWulinfordWu
1

webhook-subscriptions

Create and manage webhook subscriptions that trigger OWLS agent runs from external events.

Community
Intermediate
kevinlinkevinlin
14

compliance

Navigate privacy regulations, review DPAs, and handle data subject requests.

Community
Advanced