Skill UI

This skill provides comprehensive guidelines and implementation examples for managing rate limits when interacting with the Glean Indexing and Search APIs. It includes a custom RateLimiter class, robust retry logic (handling 429 errors and server errors), and best practices for batch processing large datasets, ensuring stable, high-volume data ingestion pipelines.

A comprehensive guide and implementation pattern for handling rate limits, backoff, and idempotency when integrating with the Grammarly Text API. It provides a custom rate limiter and robust retry logic to manage API throughput, ensuring reliable processing of high volumes of documents and stable interaction with various endpoints (e.g., writing score, plagiarism checks).

This skill provides best practices for managing API rate limits when interacting with the Hootsuite platform. It demonstrates implementing robust retry logic, incorporating exponential backoff using the `Retry-After` header, and using queue-based scheduling to ensure stable, high-throughput API calls while respecting platform constraints.

This guide provides advanced patterns for managing API rate limits, crucial for reliable integration with platforms like HubSpot. It covers implementing exponential backoff, honoring 'Retry-After' headers, using request queuing (throttling), and optimizing throughput through batch operations to gracefully handle 429 rate limit errors.

A comprehensive guide to implementing production-grade reliability patterns for HubSpot CRM integrations. Learn to build fault-tolerant systems using Circuit Breakers, advanced retry strategies, graceful degradation, and Dead Letter Queues (DLQ). Essential for maintaining high availability when connecting to external APIs.

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.

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.