privacy

Identify privacy risks and generate DPIA documents for personal data projects.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/brucebanner010198-commits/DevSecOps-Agency --skill privacy-brucebanner010198-commits
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: privacy
Source: https://github.com/brucebanner010198-commits/DevSecOps-Agency/tree/main/skills/privacy
Command: npx skills add https://github.com/brucebanner010198-commits/DevSecOps-Agency --skill privacy-brucebanner010198-commits

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams implement privacy-by-design for projects that handle personal data by guiding DPIAs, classifying data against GDPR, CCPA, and DPDP categories, and producing data-flow diagrams, retention policies, and privacy appendices for ADRs.

Core Features & Use Cases

  • DPIA screening and risk assessment for new data-processing initiatives.
  • Data classification against GDPR/CCPA/DPDP categories to determine safeguards.
  • Data-flow diagram and retention policy generation to document data lifecycle.
  • Privacy appendix generation for ADRs to preserve decision logs and controls.
  • Triggered automatically by project-start checks when personal data is detected.

Quick Start

Run a privacy review at project start to generate a DPIA, data-flow diagram, retention policy, and privacy appendix.

Frequently Asked Questions about privacy

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

FAQPage Schema
How do I conduct a DPIA for projects handling personal data?▼

A privacy-by-design review identifies privacy risks by conducting a DPIA for projects handling personal data. It screens new data-processing initiatives, classifies data against GDPR, CCPA, and DPDP categories, and generates a data-flow diagram, retention policy, and privacy appendix for ADR integration.

When do I need a data-flow diagram and retention policy for GDPR compliance?▼

You need a data-flow diagram and retention policy for GDPR compliance when initiating new data-processing initiatives. Generating these documents at project start records the personal data lifecycle and ensures privacy-by-design safeguards across data storage and cross-border sharing.

Can I classify data against GDPR, CCPA, and DPDP categories automatically?▼

Data classification maps personal data types to regulatory requirements by evaluating data against GDPR, CCPA, and DPDP categories. This determines necessary safeguards, enabling privacy-by-design reviews to identify risks and produce compliant retention policies for architecture decision records.

What is the best way to integrate privacy appendices into ADRs?▼

The best way to integrate privacy appendices into ADRs is to generate them during a privacy-by-design review at project start. This preserves decision logs and documents the specific controls, data-flow diagrams, and retention policies applied to personal data processing initiatives.

Does a privacy-by-design review work for cross-border data sharing?▼

A privacy-by-design review works for cross-border data sharing by ensuring GDPR, CCPA, and DPDP compliance during DPIA risk assessments. It generates data-flow diagrams that document the lifecycle of personal data across international boundaries and produces retention policies.

Why does my project need a DPIA screening when personal data is detected?▼

Your project needs a DPIA screening when personal data is detected to identify privacy risks early. Triggered automatically by project-start checks, this screening classifies data against GDPR, CCPA, and DPDP categories to ensure privacy-by-design compliance before data processing begins.