Skill UI

This skill provides comprehensive tools for managing Apollo.io contact data governance and compliance. It supports critical data lifecycle tasks, including executing GDPR Subject Access Requests (SAR), enforcing the Right to Erasure, implementing data retention policies, and performing field-level encryption. Ideal for legal, data privacy, or engineering teams handling PII.

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.

Provides comprehensive tools for managing enriched lead data in compliance with global privacy regulations like GDPR and CCPA. This skill guides practitioners through data classification (identifying PII sensitivity), input validation, deduplication, implementing data retention metadata, and anonymizing sensitive fields for secure reporting and analytics.

A comprehensive guide to configuring Cursor's privacy features. This documentation covers enabling Privacy Mode for zero data retention, managing data flow from chat and indexing, implementing sensitive file exclusion using .cursorignore, and understanding telemetry settings. It also provides compliance mapping for GDPR, HIPAA, and SOC 2 compliance.

This skill provides a comprehensive guide on implementing robust data governance patterns within Delta Lake, leveraging Unity Catalog. It covers essential compliance topics such as data classification tagging, handling GDPR 'right-to-deletion' requests for PII, and establishing automated data retention policies. Use this when designing secure, compliant, and auditable data pipelines in a data lake environment.

Implements best practices for secure audio transcription using Deepgram. This guide covers PII redaction (built-in and custom patterns), secure audio upload to S3 with encryption, managing data retention policies, and ensuring compliance with major regulations like GDPR and HIPAA. It provides a comprehensive pipeline for handling sensitive audio data in enterprise applications.

Provides best practices for managing the entire document lifecycle within Documenso integrations. Covers secure PII handling, implementing automated data retention policies (e.g., deleting old drafts and archiving completed documents), and fulfilling GDPR data subject access and erasure requests. Essential for maintaining compliance and secure document storage.

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.

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 skill provides comprehensive methods for managing the entire data lifecycle of LLM observability platforms like Langfuse. Functions include exporting detailed traces and scores, configuring retention policies (e.g., automatic data cleanup), handling GDPR subject requests (access and erasure), and anonymizing Personally Identifiable Information (PII) for secure analytics. Essential for maintaining regulatory compliance in AI applications.

This skill provides comprehensive patterns for handling sensitive data when integrating with Mistral AI. It covers PII redaction (emails, phone numbers, etc.), implementing data retention policies, and enforcing compliance with global privacy regulations like GDPR and CCPA. Key features include safe API wrappers, dataset sanitization for fine-tuning, and conversation history management with TTL and user erasure rights.