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.

Implement comprehensive observability for Apollo.io API integrations. This skill provides structured instrumentation covering Prometheus metrics (request count, latency, rate limits, credits used), structured logging with PII redaction, and OpenTelemetry tracing. It ensures reliable tracking of API health, performance, and resource consumption.

This comprehensive tool provides an automated, multi-stage checklist for deploying Apollo.io integrations to a production environment. It validates crucial aspects including secure authentication (API keys, headers), system resilience (rate limiting, retry logic), observability (PII redaction, structured logging), and financial controls (credit tracking). Use this checklist before going live or when performing production system audits to ensure full compliance and stability.

A comprehensive guide covering security best practices for integrating with the Apollo.io API. This includes secure key storage (using secret managers/env vars), implementing PII redaction for logging, adhering to the principle of least privilege (using standard vs. master keys), and performing key rotation procedures. Essential for building secure and compliant integrations.

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.

This guide details security best practices for integrating with Clay. It covers securing API keys, validating webhook signatures, isolating provider credentials, and redacting sensitive PII data. Essential for maintaining compliance and data integrity in production environments.

This guide provides methods to implement robust data handling, secret detection, and compliance patterns within code reviews (e.g., GDPR, CCPA). It teaches users how to configure CodeRabbit to exclude sensitive files (like .env or keys), detect hardcoded secrets, limit the review scope to active source code, and ensure that PII is properly handled during the CI/CD process.

This skill provides a comprehensive solution for implementing observability for Customer.io integrations. It covers setting up Prometheus metrics (latency, request counts, bounces), structured JSON logging with PII redaction, and OpenTelemetry tracing. Use it when building robust, production-grade monitoring dashboards and alerting systems for Customer.io APIs.

This comprehensive guide details essential security best practices for integrating with Customer.io. It covers secure credential storage using secrets managers, sanitizing Personally Identifiable Information (PII) via hashing, verifying webhook signatures (HMAC-SHA256) to ensure data integrity, and establishing procedures for API key rotation to maintain compliance with GDPR/CCPA regulations.

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.

This skill provides a comprehensive and isolated setup for managing Deepgram API integrations across different deployment stages (Development, Staging, Production). It includes typed configuration management, a client factory pattern, and Docker Compose profiles, ensuring that each environment uses specific credentials, models, and feature settings (like diarization or PII redaction) without conflict. Ideal for robust, multi-stage application deployment.