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This skill provides essential integration patterns and best practices for connecting with the RemoFirst API. It is designed for managing global HR, Employer of Record (EOR), and payroll compliance across different regions. Use this when building automated workflows that require fetching employee data, handling API rate limits (429), or managing common authentication errors (401).

This SDK pattern provides comprehensive integration patterns for RemoFirst, a global HR, EOR, and payroll platform. It enables developers to manage global employment needs, process payroll cycles, and ensure compliance across multiple international jurisdictions by interacting with core API endpoints. Use this when building systems for international workforce management.

This skill provides secure API integration patterns and implementation details for RemoFirst, a platform managing global HR, EOR, and payroll services. Use this when automating complex global employment workflows, retrieving employee data, or ensuring multi-jurisdictional payroll compliance.

This skill provides integration patterns for the RemoFirst platform, designed for global Human Resources (HR), Employer of Record (EOR), and payroll management. It enables automated interaction with international employee data and ensures compliance for global workforce operations.

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.

A comprehensive guide detailing the 10 most common anti-patterns and mistakes when developing apps for the Shopify platform. Covers critical topics including mandatory GraphQL usage, handling userErrors, GDPR compliance, webhook timeouts, and secure API practices. Essential for code audits and App Store preparation.

Implement comprehensive automated policy enforcement for Shopify apps, ensuring security and adherence to App Store guidelines. This skill includes ESLint rules for detecting hardcoded API secrets, enforcing GraphQL query cost budgets, and running pre-commit hooks and CI checks for critical compliance validations (e.g., GDPR webhooks). Use it when hardening a production-ready Shopify application.

A comprehensive checklist for deploying Shopify apps to production or submitting to the App Store. It covers critical areas including API versioning, mandatory GDPR compliance webhooks, webhook security best practices, rate limit resilience, and App Store listing requirements. Use this guide when preparing for a major launch or auditing existing compliance gaps to ensure maximum stability and security.

A comprehensive guide to registering, handling, and managing Shopify webhooks and events for e-commerce applications. Learn how to use GraphQL to subscribe to critical topics (orders, products, etc.), implement robust HMAC verification, and, crucially, configure mandatory GDPR compliance handlers required for successful Shopify App Store submission. Covers event handler patterns and API management.

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 comprehensive guide details how to set up robust, isolated, and secure development, staging, and production environments within Snowflake. It utilizes best practices like zero-copy cloning for efficient data replication, implements granular Role-Based Access Control (RBAC), and defines environment-specific compute resources (warehouses) and data masking policies. This ensures data integrity, compliance, and cost optimization across all stages of the data lifecycle.