Skill UI

A comprehensive guide to implementing technical and organizational measures required by the General Data Protection Regulation (GDPR). This skill covers full lifecycle data protection, including Data Protection by Design, Data Protection Impact Assessments (DPIAs), managing data subject rights (e.g., right to erasure, portability), encryption, pseudonymization, and ensuring cross-border data transfer compliance.

This tool performs a comprehensive review of OAuth 2.0 scopes, identifying over-permissioned third-party application integrations, excessive API scopes, and unused token grants. It is crucial for implementing the principle of least privilege across complex identity providers and SaaS ecosystems. Use cases include compliance auditing (GDPR, SOC 2), post-incident security reviews, and managing shadow IT risk by auditing cross-boundary consent grants.

This guide facilitates comprehensive tabletop exercises simulating major ransomware incidents. It systematically tests an organization's preparedness, decision-making processes, and communication protocols across executive, legal, PR, and technical teams. Scenarios cover double extortion, regulatory compliance (GDPR, HIPAA), and varying backup compromise levels, helping organizations identify critical gaps before a real-world attack.

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 tool automates the end-to-end workflow for GDPR Data Subject Access Requests (DSAR). It handles identity verification, discovers PII across structured and unstructured data sources using NER and regex, maps data to Article 15 requirements, and generates auditable compliance reports, ensuring adherence to ICO/EDPB guidelines and scaling compliance efforts.

This tool automates the entire Privacy Impact Assessment (PIA) workflow. It systematically maps data flows, calculates privacy risk scores using established matrices (NIST PRAM, ICO DPIA), and checks compliance against major regulations like GDPR and CCPA/CPRA. It is essential for organizations launching new systems or preparing for regulatory audits to ensure data privacy compliance.

A comprehensive guide for integrating and managing Firebase In-App Messaging within Flutter applications. This skill covers initial setup, programmatic message triggering via custom events, advanced message suppression during critical flows (like payments), and implementing GDPR-compliant opt-in data collection. It also details full campaign management, including targeting, scheduling, A/B testing, and device-specific testing workflows for optimal user engagement.

A comprehensive guide for engineers, architects, and DevOps teams on implementing General Data Protection Regulation (GDPR) best practices. This skill covers Privacy by Design, data minimization, purpose limitation, retention policies, secure API design, and compliant logging practices. Use it when handling any personal data, designing new features, or reviewing systems for data privacy compliance.

A comprehensive guide to implementing secure and compliant data handling within Algolia. This skill demonstrates how to transform source records, strip Personally Identifiable Information (PII), implement attribute filtering, and enforce data access controls. It provides robust workflows for GDPR and CCPA compliance, including data deletion (Right to Erasure) and Data Subject Access Requests (DSAR).

This skill provides comprehensive methods for interacting with the Figma API. It covers retrieving and managing comments, accessing version history, and handling sensitive user data. Emphasis is placed on implementing robust privacy controls, PII redaction, data classification, and ensuring compliance with regulations like GDPR/CCPA.

Implement robust data handling practices when integrating with Adobe APIs. This comprehensive guide covers critical compliance areas, including Personally Identifiable Information (PII) redaction from extracted PDFs, enforcing Firefly content policies, secure credential redaction in logs, and managing data subject access/deletion requests for GDPR/CCPA compliance using the Adobe Privacy Service API. Essential for building privacy-compliant enterprise applications.

A comprehensive skill providing patterns for implementing data privacy, PII redaction, and robust audit logging when interacting with large language models like Claude. Use this when your application handles sensitive user data, requiring compliance with regulations such as GDPR or CCPA, ensuring all API calls are secure and auditable.