Skill UI

Produces production-ready Dataverse SDK code for Python, showcasing advanced error handling and retries, batch operations, OData query tuning, metadata lifecycle management, configuration/timeouts, cache invalidation, chunked file uploads, and Pandas integrations with references.

A collection of production-ready patterns for integrating frontend applications with backend APIs. It solves complex asynchronous issues such as race conditions, stale data, and duplicate requests. Patterns include centralized API layering, request cancellation (AbortController), exponential backoff retries, debouncing, and request deduplication, ensuring highly resilient and reliable user experiences.

This module provides production-ready patterns for interacting with the Glean enterprise search API. It features a typed client, implementing singleton patterns and robust mechanisms for search and indexing. Key patterns include batch pagination, comprehensive error handling (e.g., retries for rate limits), and a fluent request builder for executing complex, reliable API calls.

This comprehensive checklist guides developers through the necessary steps to deploy a robust and reliable Grammarly API integration in a production environment. It covers critical aspects such as secure credential storage, rate limit handling, implementing text chunking, designing error resilience patterns (circuit breakers, retries), and establishing comprehensive monitoring and alerting systems to ensure high content quality and system uptime.

A comprehensive guide to building fault-tolerant integrations with Claude. It details advanced patterns such as built-in SDK retries, model fallback chains, circuit breakers, graceful degradation, and timeout mechanisms. Use this guide to design resilient systems that maintain availability even when the underlying API encounters failures.

A comprehensive guide on managing rate limits when interacting with the Apify Platform API. It details best practices for building robust, high-throughput automation workflows, covering built-in retries, request queuing using p-queue, batching large payloads, and staggering concurrent operations to prevent 429 errors and maintain system stability.

This guide provides production-ready architectural patterns for integrating the AssemblyAI SDK in TypeScript and Python. It details best practices including implementing Singleton clients, robust service wrappers, advanced error handling (like exponential backoff retries), and multi-tenant client management. Use this when building highly scalable and reliable speech-to-text applications.

This guide provides advanced patterns for managing rate limits when integrating with the Canva Connect API. It covers implementing exponential backoff with jitter for retries, using queue-based throttling to control request throughput, and building proactive rate limit trackers. Ideal for building stable, production-grade integrations that must handle 429 errors and quotas gracefully.

A comprehensive guide to implementing production-grade reliability patterns for the Canva Connect API. Learn to use Circuit Breakers, graceful degradation, exponential backoff retries, and token refresh strategies to build fault-tolerant integrations that can handle network failures, rate limits, and service outages gracefully.

This guide provides production-ready patterns for using the @clickhouse/client library in Node.js. It covers critical, real-world scenarios such as safe typed queries, streaming large data inserts (with backpressure handling), robust batch operations with retries, and streaming SELECT queries for low memory consumption. It also includes best practices for comprehensive error handling and connection lifecycle management, ensuring stable and scalable ClickHouse integrations for data pipelines.

A comprehensive checklist for deploying and auditing Figma REST API integrations in a production environment. It covers critical best practices including secure authentication, robust error handling (backoff, retries), rate limit management, continuous monitoring setup, and secure webhook implementation, ensuring a stable and reliable product launch.

This guide details advanced patterns for building production-grade fault-tolerant integrations with external APIs, specifically targeting Figma. Learn to implement critical reliability mechanisms such as Circuit Breakers to prevent cascading failures, cached fallbacks for graceful degradation, exponential backoff retries for rate limits, and request timeouts. Use this when your application must remain stable despite external service outages or performance degradation.