Skill UI

Guards borrower interactions by enforcing TRID, RESPA, TILA, ECOA/Fair Lending, licensing, disclosures, and privacy rules whenever rates, fees, qualifications, or data are discussed in mortgage conversations.

A comprehensive guide for preparing SaaS and cloud infrastructure companies for SOC 2 Type I and Type II audits. Covers mapping Trust Service Criteria (TSC), generating control matrices, performing thorough gap analysis, collecting evidence, and assessing overall compliance readiness across Security, Availability, Confidentiality, and Privacy domains. Essential for demonstrating operational trustworthiness to enterprise clients.

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.

This skill automates the entire SOC 2 Type II audit lifecycle. It facilitates gap assessment against AICPA Trust Services Criteria (CC1-CC9) and collects continuous evidence from major cloud providers (AWS, Azure, GCP) and identity systems (Okta, Jira). It supports validating control effectiveness, remediation tracking, and overall compliance monitoring for Security, Availability, Processing Integrity, Confidentiality, and Privacy.

This skill explains how to implement Firebase In-App Messaging in Flutter apps: setting up the SDK, triggering or suppressing messages programmatically, managing opt-in data collection for privacy compliance, testing on specific devices, and creating targeted campaigns.

Acts as an Apple App Store reviewer to audit iOS app code and metadata. Identifies rejection risks, compliance issues, and optimization opportunities based on official guidelines. Focuses on privacy, IAP, account access, and technical quality to ensure fast approval and minimize re-review chances.

Conducts comprehensive AI prompt safety reviews that analyze bias, misinformation, injection, and privacy risks while delivering effectiveness evaluations, security guidance, and best-practice recommendations for prompt engineers.

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.

Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts using aggregate or synthetic data. Not for patient care or live clinical use.

Guidance and local audit tooling for Python workflows using GeoPandas GeoSeries, GeoDataFrame, spatial operations, and vector data I/O, covering reproducible environments, CRS and antimeridian rules, correctness gates, and privacy safeguards.

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.