Skill UI

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.

This workflow provides comprehensive methods for executing core Create, Read, Update, and Delete (CRUD) operations on standard Salesforce objects, including Accounts, Contacts, Leads, and Opportunities. It utilizes both powerful SOQL querying for data retrieval and the robust REST API for bulk modifications and advanced integrations, making it ideal for automating complex CRM and sales processes.

This skill provides minimal working examples for connecting to Salesforce, executing SOQL queries, and performing full CRUD (Create, Read, Update, Delete) operations on standard sObjects. Examples are provided in both TypeScript and Python. It is ideal for initial Salesforce integration testing, learning core API patterns, or performing basic data manipulation in a Salesforce environment.

A comprehensive guide and implementation pattern for handling Salesforce API quotas and rate limits. Learn how to monitor daily usage, implement exponential backoff with jitter for transient errors (like REQUEST_LIMIT_EXCEEDED), and optimize API calls using bulk operations, caching, and queryMore to ensure stable, high-throughput integrations.

This workflow utilizes the SalesLoft REST API to comprehensively track and analyze sales engagement. Users can retrieve detailed information on emails (tracking opens, clicks, and replies), log call activities (including disposition and sentiment), and aggregate metrics across entire cadences to build performance dashboards. Ideal for sales operations and data analysts needing deep insights into prospect interactions.

This guide provides advanced techniques to optimize interactions with the SalesLoft REST API v2. Key strategies include implementing LRU caching for frequently accessed data, utilizing incremental sync with `updated_at` filtering to avoid costly deep pagination, configuring connection pooling for stability, and running parallel reads safely. Use this when experiencing high latency, managing large datasets, or minimizing API usage costs for bulk operations.

This guide provides methods for managing API rate limits, specifically addressing complex cost-based throttling models (like SalesLoft's). It teaches how to implement robust rate-limit-aware clients, handle 429 errors using exponential backoff, and calculate the total cost associated with deep pagination, ensuring stable and optimized API throughput for large-scale bulk operations.

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 workflow provides comprehensive management of Shopify products, variants, collections, and inventory using the powerful GraphQL Admin API. It supports all CRUD operations, enabling users to programmatically create, update product details, manage bulk variants and pricing, and automate smart collections. Ideal for building robust e-commerce integrations and complex catalog synchronization tools.

This skill guides developers and SaaS founders on minimizing operational costs when building on the Shopify platform. It covers deep dives into Shopify store plan rate limits, optimizing GraphQL and REST API usage, implementing robust cost tracking mechanisms, and applying advanced strategies like caching and bulk operations to reduce billable expenditures.

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 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.