Skill UI

This skill provides a robust solution for managing API rate limits, particularly crucial when integrating with enterprise platforms like Palantir Foundry. It implements advanced techniques including exponential backoff, jittered retries for handling 429/5xx errors, and a token bucket rate limiter for controlled batch throughput. Use this to ensure reliable data ingestion and bulk API operations.

This skill provides implementation patterns for integrating with the Podium API, a robust platform for business messaging, review management, and payment processing. It demonstrates best practices for using REST APIs with OAuth2 authentication. Users can use this guide to connect their systems, handle complex operations like fetching location data, and implement critical error handling and retry logic for stability.

This guide provides implementation patterns for integrating corporate card and expense management using the Ramp Developer API. It demonstrates best practices for OAuth2 authentication, token management, and performing core financial operations, such as listing cards. Use this when building applications that require synchronization with Ramp's financial data.

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 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 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.