Skill UI

This skill provides implementation patterns for integrating with Ramp's Developer API. It utilizes webhooks and OAuth2 authentication to programmatically manage corporate card data, process expenses, and synchronize accounting information. It is essential for developers building financial automation tools, expense tracking systems, or robust SaaS platforms that rely on real-time financial data.

This guide details how to manage and reduce the high rate-limit costs associated with the SalesLoft API. It explains the cost model, emphasizing that deep pagination significantly increases consumption. Learn advanced strategies like incremental syncing, caching frequently accessed data, implementing webhooks, and request consolidation to maintain efficiency and stay within budget limits.

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 guide outlines best practices for securing SalesLoft API access and integrations. It details secure token lifecycle management (OAuth refresh), implementing robust webhook signature verification using HMAC-SHA256 to prevent replay attacks, and enforcing scope minimization for least-privilege access. Use this when designing production-grade, secure enterprise integrations.

This guide outlines production-ready patterns for integrating SerpApi into robust search services. It covers essential best practices, including defining typed result interfaces for type safety, implementing LRU caching to conserve API credits, and building multi-engine abstractions to handle various search types (web, news, images). It also demonstrates asynchronous search processing for non-blocking operations.

This skill implements comprehensive SERP (Search Engine Results Page) monitoring using SerpApi. It covers asynchronous search result retrieval via polling and builds robust pipelines for tracking keyword rankings over time. Ideal for SEO tools, competitive intelligence, and automated performance monitoring.

A comprehensive guide for deep debugging complex Shopify API issues. Learn how to use GraphQL introspection, analyze query cost headers, trace specific requests using X-Request-Id, and inspect webhook delivery status. This skill helps diagnose intermittent failures, throttling, and data inconsistencies in high-volume e-commerce environments.

This guide provides comprehensive steps for deploying Shopify applications (including extensions and functions) to various production cloud hosting platforms, such as Vercel, Fly.io, and Google Cloud Run. It covers critical aspects like environment configuration, setting up necessary webhooks, utilizing the Shopify CLI for deployment, and best practices for securely handling platform-specific secrets and ensuring production stability. Use this when moving a local Shopify app to a live e-commerce environment.

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.

This guide provides a comprehensive and reproducible local development workflow for Shopify applications. It details how to use the Shopify CLI for scaffolding and hot reloading, integrate ngrok for stable webhook tunneling, and set up Vitest for robust API testing, enabling developers to achieve rapid and reliable iteration cycles.

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.

This comprehensive guide details strategies for optimizing Shopify API performance. Key techniques include reducing excessive GraphQL query costs, implementing bulk operations for large data exports, setting up robust response caching with webhook invalidation, and utilizing the Storefront API for high-traffic public storefronts. Essential for developers hitting rate limits or slow data retrieval.