privacy-by-design

Automate privacy-by-design workflows for features processing personal data.

7|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/KentoShimizu/sw-agent-skills --skill privacy-by-design-kentoshimizu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: privacy-by-design
Source: https://github.com/KentoShimizu/sw-agent-skills/tree/main/skills/privacy-by-design
Command: npx skills add https://github.com/KentoShimizu/sw-agent-skills --skill privacy-by-design-kentoshimizu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Privacy challenges arise when building features that touch personal data. This skill provides a structured workflow to make privacy requirements explicit, enforceable, and testable before implementation.

Core Features & Use Cases

  • Data minimization, lawful basis, retention planning, and user-rights readiness are embedded early in product design.
  • Applicable to features that process personal data, across product development, privacy risk assessment, and governance.
  • Use case: Before launching a new analytics feature, map data flows and define retention and consent requirements.

Quick Start

Map the data lifecycle for a new feature, select lawful bases, and define retention and user-rights handling before implementation.

Frequently Asked Questions about privacy-by-design

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

FAQPage Schema
How do I embed privacy-by-design into product development workflows?

Map the data lifecycle for new features, select lawful bases, and define retention and user-rights handling before implementation. This structured workflow makes privacy requirements explicit, enforceable, and testable prior to writing code.

What is privacy-by-design and when do I need to apply it?

Privacy-by-design is a framework that proactively integrates data minimization, purpose limitation, and user-rights readiness into product decisions. You need to apply it when building features that process personal data, ensuring governance controls are defined before implementation begins.

How do I define data minimization and lawful basis for a new feature?

Define data minimization and lawful basis by mapping the data lifecycle for your feature and selecting appropriate legal bases before development. This ensures explicit purpose limitation and retention boundaries are established and documented prior to implementation.

Can I use this workflow for features that process personal data across different teams?

Yes, this workflow applies to features that process personal data across product development, privacy risk assessment, and governance teams. It guides cross-team governance by ensuring privacy controls are defined before implementation through templates and reference materials.

What are the limitations of automating privacy governance workflows?

The workflow focuses on defining privacy controls before implementation and does not handle post-launch monitoring. It provides templates and reference materials for purpose limitation and retention boundaries, but requires manual integration into existing feature development lifecycles.