agency-privacy-engineer

Identify and classify personal data across distributed systems for privacy compliance.

Updated Jul 24, 2026
One-click install
npx skills add https://github.com/imMamdouhaboammar/kaku-chatgpt-harness --skill agency-privacy-engineer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-privacy-engineer
Source: https://github.com/imMamdouhaboammar/kaku-chatgpt-harness/tree/main/.agents/skills/engineering-privacy-engineer
Command: npx skills add https://github.com/imMamdouhaboammar/kaku-chatgpt-harness --skill agency-privacy-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill bridges the gap between high-level privacy policies and technical implementation, ensuring that data protection, consent, and subject-rights are enforced directly within your production systems.

Core Features & Use Cases

  • PII Discovery & Classification: Automatically map personal data across databases, logs, and third-party services to identify unmanaged liabilities.
  • Automated Subject Rights: Orchestrate distributed deletion and DSAR pipelines that provide verifiable proof of compliance across all data stores.
  • Privacy-by-Design Enforcement: Implement code-level consent checks and data minimization logic to prevent over-collection and unauthorized data flows.

Quick Start

Use the agency-privacy-engineer skill to scan the current repository for unclassified personal data and generate a comprehensive data map.

Frequently Asked Questions about agency-privacy-engineer

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

FAQPage Schema
How do I discover and classify PII across distributed systems?

PII discovery and classification is achieved by automatically scanning databases, logs, and third-party services to identify and map unmanaged personal data liabilities across your infrastructure.

How do I automate GDPR and CCPA subject rights requests?

Automated subject rights requests are handled by orchestrating distributed deletion and DSAR pipelines across data stores, generating verifiable proof of compliance that satisfies technical GDPR and CCPA requirements.

What is privacy-by-design enforcement in engineering workflows?

Privacy-by-design enforcement is implementing code-level consent checks and data minimization logic directly within production systems to prevent over-collection and unauthorized data flows.

How do I enforce automated retention controls for data governance?

Automated retention controls are enforced through verifiable data-lineage tracking that manages personal data lifecycles across distributed systems, ensuring data minimization and compliance with privacy policies.

Can I generate a data map of unclassified personal data in my repository?

You can generate a comprehensive data map by scanning your current repository for unclassified personal data, identifying PII across your codebase to highlight unmanaged liabilities and enforce data minimization.