Skill UI

This skill manages the complete lifecycle of Fireflies.ai meeting transcripts. It allows users to fetch raw data, export in various formats (JSON, CSV, SRT), sanitize sensitive personal information (PII Redaction), and enforce data retention policies to ensure compliance with regulations like GDPR and CCPA. Ideal for data governance and compliance workflows.

A comprehensive mechanism for managing data privacy, retention, and compliance when integrating with Gamma APIs. This skill guides users on handling Personally Identifiable Information (PII), sanitizing user content and logs, securely archiving exported files (e.g., via S3), and implementing precise data retention policies to meet standards like GDPR and CCPA. Essential for building compliant, production-ready applications.

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This guide provides practical implementation steps for ensuring GDPR compliance in data processing, consent management, and privacy controls. Use this skill when developing systems that handle EU personal data, managing Data Subject Requests (DSRs), or designing privacy-first architectures to meet strict international data regulations.

Automates GDPR and German DSGVO workflows by scanning codebases for privacy risks, generating DPIA documentation, and tracking data subject rights requests to support compliance assessments, audits, and planning.

This comprehensive guide covers the entire data lifecycle management for Granola meeting notes. Users learn how to export data using local cache scripts or Enterprise APIs, set customized data retention policies, and handle data subject access requests (SARs). It is essential for maintaining GDPR/CCPA compliance and ensuring data portability.

This comprehensive guide outlines best practices for securing Granola meeting data. It covers critical compliance standards, including SOC 2 and GDPR, and details technical controls such as AES-256 encryption, TLS 1.3 transmission, and robust configuration of SSO and data retention policies for enterprise use.

A comprehensive, compliant wrapper for integrating with the Groq API. This module automatically sanitizes input prompts and filters model responses to redact sensitive PII (emails, phone numbers, SSN, etc.). It also tracks detailed token usage and generates robust audit logs, ensuring data privacy and regulatory compliance (GDPR, etc.) in enterprise AI applications.

This skill provides comprehensive data handling capabilities specifically for the Guidewire platform. It covers robust entity management (CRUD operations using Gosu), complex data migration using ETL tools and batch processing, and advanced data governance practices. Key features include implementing GDPR data purge rules and anonymization techniques for secure testing environments. Ideal for developers managing core insurance platform data.

This skill provides comprehensive tools for managing lead data within the Instantly platform. It handles lead list creation, robust lead imports with validation (e.g., block list checks, email format checks), and essential updates (move, status change). Crucially, it ensures compliance with international regulations like GDPR and CAN-SPAM by managing unsubscription flows and deletion rights.

This skill provides comprehensive guidelines for handling sensitive people datasets from Juicebox AI. It covers critical data classification (PII, search results), required technical controls (AES-256 encryption, field-level masking), and adherence to international privacy regulations like GDPR and CCPA. It ensures users implement lawful data processing, proper consent tracking, and secure data export mechanisms.

This comprehensive checklist guides the operational validation of the Juicebox AI talent search and analysis platform in a production environment. It ensures system reliability, data security, and service continuity by reviewing critical areas such as API key management, rate limit handling, robust error detection (circuit breakers, exponential backoff), data encryption (GDPR/CCPA compliance), and comprehensive monitoring setup. It is essential for preventing service failures and maintaining search data integrity.