Skill UI

A comprehensive skill for managing sensitive data within Miro boards. It covers detecting Personally Identifiable Information (PII) like emails, phone numbers, and credit cards, ensuring compliance with regulations such as GDPR and CCPA. Functionality includes robust data export for Data Subject Access Requests (DSAR), implementing data retention policies, and automatically redacting PII in logs to maintain maximum data security.

This guide details best practices for securing Persona identity verification implementations. It covers critical security measures such as API key rotation, webhook HMAC verification, encrypting Personally Identifiable Information (PII) at rest, and maintaining comprehensive audit logs. Use this when integrating Persona into a production system requiring high data security and compliance.

A comprehensive guide for handling sensitive Personally Identifiable Information (PII) within Salesforce. This pattern implements critical compliance measures, including GDPR and CCPA requirements, data subject access requests (DSAR), the Right to Erasure, and field-level encryption using Salesforce Shield. Use this when developing features that interact with regulated user data.

A comprehensive guide for developers building apps on Shopify, focusing on mandatory privacy compliance (GDPR/CCPA). Learn how to correctly manage sensitive customer PII, implement critical privacy webhooks (data request, redaction), enforce data minimization principles, and establish robust data retention policies required for App Store submission and legal compliance.

This comprehensive guide details how to implement robust data governance and privacy controls within Snowflake. Learn to apply column-level masking policies, row access policies, and object tagging to secure PII data. It provides practical SQL examples for achieving GDPR/CCPA compliance, managing data subject rights (access, erasure, rectification), and setting up automated data retention tasks.

Provides comprehensive methods for handling sensitive customer data within Webflow, including detecting and redacting PII from form submissions and e-commerce orders. This guide ensures data processing adheres to global regulations like GDPR and CCPA, and establishes robust data retention policies for secure development.

This skill performs a proactive, comprehensive audit to quantify the business and regulatory impact of a potential data breach before it occurs. It inventories sensitive data (PII, PHI, PCI-DSS), traces complex data flows through the codebase, identifies all exposure vectors, and calculates the 'blast radius.' The output provides law-sourced figures (e.g., GDPR, CCPA, HIPAA fine maximums) alongside heuristic risk estimates, guiding proactive hardening roadmaps for compliance and security.

This tool automates the process of filling out web forms by accepting a structured field map (field name to value). It intelligently resolves field selectors either by leveraging stored browser templates for known sites or by analyzing the current page's accessibility snapshot. It supports submission and manages PII redaction.

This skill is a compatibility shim for the older browser-scrape function. It is deprecated and advises users to migrate to the more robust `browser-extract` skill. The new skill offers advanced features like cognitive containers, PII detection, and automatic selector management for reliable web scraping.

A comprehensive guide to building HIPAA, GDPR, and other global compliance systems for healthcare applications. This pattern outlines best practices for protecting Protected Health Information (PHI) and Personally Identifiable Information (PII) by implementing robust access controls, Row-Level Security (RLS), and mandatory audit trails. Essential for any feature handling patient or clinical data.

This comprehensive API provides a robust solution for automated document workflows. Users can perform format conversions (PDF, DOCX, XLSX, etc.), extract structured data (text, tables), perform OCR on scanned documents, redact sensitive information (PII), add watermarks, and apply digital signatures. Suitable for building automated, secure document processing pipelines.

This tool detects and flags Personally Identifiable Information (PII) across text, code, and configuration files. It is essential to use this before committing code, writing logs, or generating model responses to prevent accidental exposure of sensitive data. It identifies various types of PII, including emails, phone numbers, SSNs, credit card numbers, API keys, and passwords, offering quick checks, detailed scans, and full context-aware analysis.