Skill UI

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.

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.

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.

A comprehensive guide to implementing production-ready patterns for the Webflow SDK. Covers essential architectural patterns such as singleton client management, robust typed error handling (including specific HTTP status codes like 401, 403, 429), efficient pagination helpers, rate limit monitoring via raw response access, and multi-tenant client factory setup. Essential for building scalable, enterprise-grade Webflow integrations.

A comprehensive guide for building high-performance GraphQL servers using Golang. This skill covers everything from choosing between gqlgen and graphql-go, designing robust schemas (nullability, pagination), implementing clean resolver patterns, and critically, preventing N+1 database query issues using DataLoaders. Essential for backend engineers building enterprise-grade APIs.

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

A comprehensive guide to production-grade patterns and common pitfalls when using Prisma ORM with TypeScript backends. Covers optimizing schema design, implementing complex queries, managing transactions, handling pagination strategies, and addressing critical traps like connection exhaustion in serverless environments.

This skill acts as an expert architect for designing robust, production-grade data pipelines. It guides users through three intelligent extraction modes: API-Driven (Firecrawl), Local Python, and Hybrid. It enforces industry best practices, including comprehensive input validation, secure API key handling, pagination logic, and resource budget tracking, ensuring reliable data retrieval from web sources or local files.