Skill UI

A comprehensive guide detailing best practices for securing Salesforce integrations and API access. It covers configuring Connected Apps with minimum OAuth scopes, implementing least privilege access, establishing dedicated integration users, and enforcing Field-Level Security (FLS). Essential knowledge for robust API development, security audits, and maintaining data integrity within the Salesforce ecosystem.

This comprehensive guide provides a full walkthrough of integrating with the SalesLoft API. It demonstrates core functionalities such as listing, creating, and updating contact records (People), and managing membership in automated sales sequences (Cadences). Ideal for initial API setup, complex system testing, or implementing structured sales outreach features.

This document provides a comprehensive, production-grade reference architecture for integrating with the SalesLoft API. It details the best practices for building robust systems, including structured API clients with rate-limit handling, dedicated service layers for business logic (e.g., People Sync), reliable webhook processing, and background job scheduling. Use this guide when designing scalable, resilient, and maintainable integrations with external SaaS platforms.

This comprehensive skill provides a robust framework for receiving and processing SalesLoft webhooks in real-time. It includes critical logic for HMAC-SHA256 signature verification and replay protection. The system efficiently routes various sales events (e.g., email opened, call completed, person updated) to sync data with external CRMs or operational systems, while ensuring data integrity through idempotency checks using Redis.

This guide helps developers choose the optimal architecture pattern for building on Shopify. It compares four validated variants: Embedded Remix App (for admin tools), Headless Storefront (for custom e-commerce experiences using Hydrogen), Backend Integration (for system syncing like ERP), and Theme App Extension (for storefront widgets). Use this resource when starting a new Shopify project to determine the correct development path and technology stack.

A comprehensive core workflow for managing the full e-commerce lifecycle within Shopify. It utilizes the GraphQL Admin API to query order data, process fulfillments (including tracking), create draft orders, and search/manage customer records efficiently. Ideal for building robust order management systems and complex e-commerce integrations.

A comprehensive guide to mastering Shopify's calculated query cost system. Learn how to prevent API throttling errors by understanding the difference between requested and actual query costs. The guide covers advanced techniques like optimizing pagination, selecting minimal fields, avoiding deep nesting, and utilizing bulk operations for massive data exports.

This guide provides a comprehensive framework for load testing Shopify app integrations, specifically designed to respect strict API rate limits. It teaches users how to plan and benchmark system capacity for high-traffic events like Black Friday/Cyber Monday (BFCM) or flash sales using tools like k6. Users learn to optimize for burst events, analyze GraphQL cost, and configure infrastructure scaling for reliable e-commerce performance.

A comprehensive deep dive into migrating entire e-commerce platforms to Shopify. This guide details how to transfer product catalogs, customer records, historical orders, and inventory using advanced methods like Shopify's GraphQL Admin API, bulk mutations (e.g., productSet), and staged uploads. Ideal for developers and technical teams undertaking platform replatforming or migrating data from other e-commerce systems.

A comprehensive skill for managing Shopify's unique rate limiting systems, covering both the REST API's leaky bucket mechanism and the GraphQL API's calculated query cost. It provides robust techniques for handling 429 errors, implementing exponential backoff, and optimizing queries to ensure stable, high-throughput e-commerce integrations.

Master the art of building fault-tolerant e-commerce applications for Shopify. This guide covers essential reliability patterns, including implementing circuit breakers for API outages, ensuring webhook idempotency to handle retries, and utilizing queue systems and cached fallbacks for graceful degradation. Essential for building highly resilient integrations that withstand API failures and webhook storms.

This comprehensive benchmark suite evaluates the performance of Vision-Language Models (VLM) on complex video anomaly detection tasks using the SmartHome-Bench dataset. It covers a wide range of real-world smart home scenarios, including security breaches, elderly fall detection, and unusual pet behavior. Unlike single-frame analysis, this benchmark requires deep multi-frame video understanding, making it a robust tool for testing the advanced AI capabilities of video monitoring systems.