Skill UI

Set up comprehensive observability for Shopify app integrations. This skill tracks crucial metrics like GraphQL query costs, REST rate limit consumption, webhook delivery success, and API latency. It is essential for production monitoring, setting up robust Prometheus metrics, and configuring alerts for performance bottlenecks in e-commerce SaaS environments.

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 implementing a production-ready Shopify app architecture using the Remix framework. This template covers ideal project structure, integrating Prisma for robust session storage, and implementing official Shopify patterns like Theme App Extensions and webhooks. Use this when starting a new e-commerce SaaS application on Shopify.

A comprehensive guide to production-ready patterns for the Shopify API SDK. Covers advanced topics like typed GraphQL clients, multi-tenant architecture, cursor-based pagination, bulk operations, and robust error handling. Use this when developing scalable and maintainable e-commerce integrations for Shopify.

This guide details how to build modern, custom headless storefronts using Shopify's Storefront API and Cart API. It covers key functionalities like product querying, cart management (adding/updating lines), and initiating the checkout flow. Designed for developers building client-facing e-commerce experiences, it emphasizes the use of public access tokens for decoupled, highly customizable online stores.

This guide provides comprehensive steps for upgrading Shopify API versions (quarterly releases) and migrating your application from the legacy REST Admin API to the modern GraphQL Admin API. It details how to check supported versions, identify breaking changes (like ProductInput splits), and update configurations, ensuring your codebase remains current with Shopify's evolving API standards.

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.

Master the deployment of applications connected to Snowflake across various cloud environments, including serverless functions (AWS Lambda, Cloud Run) and containers. This guide covers best practices for secure connection management, connection pooling, handling secrets (like private keys), and ensuring application reliability in production settings.

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.

This guide outlines the implementation of a production-ready Snowflake data platform using the industry-standard Medallion Pattern (Bronze, Silver, Gold). It provides comprehensive, step-by-step SQL examples covering raw data ingestion (Bronze), data cleansing and typing (Silver), and business-level aggregation (Gold). Use this when designing new data warehouses or establishing robust, layered data architecture standards on Snowflake.

This guide provides production-ready, idiomatic patterns for interacting with Snowflake using official SDKs (Node.js and Python). It covers essential patterns like implementing robust connection pooling, handling asynchronous query wrappers, efficiently streaming large result sets, and utilizing context managers for reliable resource cleanup. Use this when establishing team coding standards or optimizing data access performance.