Skill UI

A comprehensive guide to production-ready patterns for the Intercom TypeScript SDK. Learn best practices for implementing type-safe client wrappers, handling cursor-based pagination, managing robust error states (including rate limiting), and implementing resilient retry logic with exponential backoff, ensuring stable and reliable API integrations.

A comprehensive checklist and guide for deploying Klaviyo integrations to a production environment. This utility covers all critical stages from pre-deployment validation to go-live, including API authentication, webhook security, robust error handling (retry logic, exponential backoff), and essential monitoring setup. It ensures stable and reliable execution of email and SMS marketing campaigns.

Provides advanced strategies for managing API rate limits when integrating with Klaviyo. This skill implements robust patterns like exponential backoff, respecting `Retry-After` headers, and utilizing request queuing. It ensures stable, high-throughput data synchronization, preventing 429 errors during large-scale bulk operations.

A comprehensive guide to implementing production-ready patterns for interacting with the Klaviyo API via the Node.js SDK. This includes best practices for handling singleton sessions, creating type-safe API wrappers, implementing robust retry logic for rate limits, managing cursor-based pagination, and supporting multi-tenant environments. This ensures reliable and maintainable Klaviyo integrations.

This module provides robust coding patterns for interacting with the Linktree API, specifically designed to prevent hitting rate limits (429 errors). It implements a token bucket rate limiter and a sophisticated retry strategy featuring exponential backoff and jitter. Ideal for use cases involving bulk link updates, scheduled analytics data fetching, or high-volume data synchronization across multiple accounts, ensuring reliable API interaction.

This guide provides a comprehensive overview of the rate limits imposed by the MindTickle API across various endpoints, such as user management, content upload, and quiz result exports. It details specific limits for different operations and provides robust engineering solutions using TypeScript. Key implementation strategies include implementing a token-bucket rate limiter, developing a retry mechanism with exponential backoff, and optimizing bulk data processing through batching to ensure stable and efficient application integration.

This guide provides structured patterns for reliably interacting with the MindTickle REST API. It addresses complex enterprise challenges, such as org-aware authentication, handling nested progress data, and ensuring strict SCIM compliance. Key patterns include robust error wrappers (with rate limit retry logic), type-safe query builders for progress tracking, middleware for request scoping, and mock factories for testing sales readiness workflows.

Build a robust, typed API wrapper for Navan's REST endpoints, compensating for the lack of an official SDK. This pattern provides automated OAuth 2.0 token lifecycle management, built-in retry logic (for rate limiting and service downtime), and structured error handling, ensuring reliable, type-safe API interactions in production environments.

This guide provides advanced patterns for managing Notion API rate limits. It details implementing robust retry logic using exponential backoff with jitter, honoring `Retry-After` headers, and utilizing queue-based throttling (e.g., with p-queue) to proactively maintain a stable request rate (3 req/s). Essential for developing high-throughput, resilient, and stable Notion integrations.

This skill provides advanced rate limit handling for the OneNote Graph API. It implements a token bucket algorithm and queue-based throttling mechanism to prevent hitting rate limits (429 errors). It correctly parses the 'Retry-After' header and manages both per-user and per-tenant usage quotas, ensuring stable, high-throughput integrations.

This skill provides robust, production-grade patterns for interacting with the OneNote Graph API. It addresses critical issues encountered in real-world applications, such as rate limiting (429 errors), transient server failures (502/503), and silent file upload failures. It includes retry decorators, batch request strategies, and proactive rate limit tracking mechanisms for both TypeScript and Python, ensuring highly reliable integrations.

This skill provides comprehensive functionality for provisioning, managing, and scaling Oracle Cloud Infrastructure (OCI) compute instances using the Python SDK. It addresses common challenges like "out of host capacity" errors by implementing robust retry logic across multiple Availability Domains (ADs). Users can select optimal Flex shapes (AMD, ARM, Intel), manage the entire instance lifecycle (start, stop, reboot, terminate), and retrieve network details, ensuring reliable cloud workload deployment.