Skill UI

This skill provides robust methods for handling sensitive data within Notion integrations. It systematically detects Personally Identifiable Information (PII), such as emails, phone numbers, SSNs, and credit cards, within both page properties and rich text content. Users can implement data redaction mechanisms before logging or exporting, ensuring the data handling process fully complies with major privacy regulations like GDPR and CCPA.

This skill scans live websites or local codebases to detect all data collection signals, including cookies, analytics, forms, and third-party processors. It then generates a comprehensive, 12-section privacy policy tailored for GDPR and CCPA compliance. The system maps detected data touchpoints to specific legal bases (Consent, Contract, etc.), ensuring the resulting policy accurately reflects the actual data practices of your application or website.

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.

This tool reads your local GitHub Copilot CLI conversation history using the specialized `vardoger` CLI. It analyzes your behavioral patterns, coding conventions, and usage style to generate a personalized instructions block. This block is written directly to your local Copilot configuration file, allowing the assistant to adapt its guidance and suggestions specifically to your unique habits and preferences. The process runs entirely offline, ensuring maximum privacy.

This skill analyzes the user's historical workflow data, passively captured via a local screenpipe daemon. It detects recurring activity patterns (e.g., research steps) and clusters them. It then compares these patterns against existing skills, automatically drafting proposals for new skills or optimized composition recipes that chain existing tools together. It is designed for privacy, running all detection and processing locally, and only sending redacted summaries to the LLM.

A comprehensive guide detailing advanced security threats in Machine Learning and AI systems. Covers model supply chain attacks (RCE via pickle, poisoning), adversarial examples (FGSM, PGD, physical-world), data privacy breaches, and LLM-specific vulnerabilities. Essential for building robust, secure AI pipelines.

This skill simulates a General Counsel's deep dive review across critical legal domains, including Intellectual Property, data privacy (GDPR/CCPA), liability, and regulatory compliance. It forces users to adopt a rigorous legal lens when evaluating term sheets, MSAs, or major business commitments, helping identify high-risk clauses and necessary negotiation points before signing.

Pi-hole is a powerful, network-wide DNS ad blocker solution that runs on Linux hosts (like Raspberry Pi). It automatically blocks ads, trackers, and malware domains for every device on your network without requiring browser extensions. This guide details installation via Docker or bare-metal setup, configuring it as the primary DNS server for a home network, managing blocklists, and implementing advanced features like DNS-over-HTTPS (DoH) for enhanced privacy.

This skill simulates a Data Protection Officer (DPO) audit, pressure-testing privacy compliance across six critical, Article-cited GDPR areas. It is essential for pre-annual audits, post-breach assessments, DPA investigations, and M&A due diligence, ensuring readiness across RoPA, lawful basis, DPIA, DSAR, and international data transfers.

Conducts a comprehensive, structured ethical review for any AI or ML model, feature, or product. It assesses risks related to fairness, bias, transparency, privacy, and societal impact, providing a risk tier score, necessary mitigations, and governance documentation suitable for pre-deployment compliance.