pii-handling

Identify and protect PII across data stores and pipelines.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/marquesfelip/agents-and-skills --skill pii-handling-marquesfelip
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pii-handling
Source: https://github.com/marquesfelip/agents-and-skills/tree/main/skills/pii-handling
Command: npx skills add https://github.com/marquesfelip/agents-and-skills --skill pii-handling-marquesfelip

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Personal data often moves through multiple systems without consistent protection, creating privacy risk and compliance gaps.

Core Features & Use Cases

  • PII discovery and classification: identify sensitive data fields and map their regulatory relevance.
  • Protection strategies: data minimization, masking, pseudonymization, encryption, and access controls.
  • Compliance workflows: support for rights to access and erasure under GDPR/LGPD/CCPA; auditing and consent traceability.
  • Use Case: apply role-based masking in analytics to protect identities while preserving useful insights.

Quick Start

Configure and run end-to-end PII protection across data stores and pipelines to enforce masking, encryption, and rights management.

Frequently Asked Questions about pii-handling

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

FAQPage Schema
How do I identify and classify personally identifiable information across data stores?

To identify personally identifiable information across data stores, you map sensitive data fields and assess their regulatory relevance under GDPR, LGPD, and CCPA. This PII discovery process ensures consistent classification across system pipelines.

What is the best way to mask personal data in analytics pipelines?

The best way to mask personal data in analytics pipelines is applying role-based masking and pseudonymization. This PII protection strategy preserves useful insights while protecting identities and enforcing access controls.

How do data minimization and encryption work together for privacy compliance?

Data minimization and encryption work together for privacy compliance by reducing collected data to only what is necessary, then securing the remaining PII. This combined approach limits exposure and enforces protection across systems.

Can I automate right-to-access and erasure workflows for GDPR and CCPA?

You can automate right-to-access and erasure workflows for GDPR and CCPA using structured compliance processes. These PII workflows support auditing, consent traceability, and data subject rights management across your systems.

Do I need consent management to handle PII in data pipelines?

You need consent management to handle PII in data pipelines because it provides traceability for data usage. Tracking consent ensures your data processing aligns with GDPR, LGPD, and CCPA regulatory requirements.