Skill UI

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.

This collection provides production-ready, idiomatic patterns for the @hubspot/api-client SDK, specifically tailored for TypeScript. It addresses critical development concerns including creating typed wrappers, implementing robust, structured error classification (handling rate limits, authentication issues, etc.), and managing efficient batch operations (create, read, upsert) for HubSpot CRM data. Use this when building scalable, reliable, and maintainable HubSpot integrations.

A comprehensive guide to securing HubSpot API integrations. Details best practices for implementing least-privilege scopes, securely managing access tokens in environment variables, validating webhook signatures (v3), and executing proper token rotation procedures. Essential knowledge for building robust and secure applications connected to HubSpot.

This comprehensive guide assists developers in upgrading the @hubspot/api-client SDK. It covers migrating between major API versions (e.g., v1 to v3, v3 to v4), addressing key breaking changes, and implementing modern authentication patterns, such as transitioning from API Keys to Access Tokens. Use this when integrating or maintaining HubSpot-dependent applications.

This skill provides comprehensive programmatic management of the Intercom conversation lifecycle. It allows users to create, reply (as admin or contact), assign, tag, close, and snooze support conversations. It is essential for developers building robust customer support automation, integrating CRM systems, or implementing advanced workflow management features.

This skill provides advanced strategies to reduce operational costs associated with the Intercom API. It teaches best practices like replacing inefficient polling with real-time webhooks, implementing LRU caching for contact lookups, utilizing server-side search instead of list-and-filter methods, and batching requests. Use this when managing Intercom usage, optimizing infrastructure spending, or preventing rate limits and billing surprises.

This guide provides comprehensive, step-by-step instructions for deploying Intercom-powered applications and webhooks to major cloud platforms like Vercel, Fly.io, and Google Cloud Run. It covers secure secret management, configuring platform-specific webhook endpoints, and implementing robust health checks, ensuring seamless and resilient production integration for messaging and support systems.

A comprehensive runbook for systematically handling Intercom API outages and integration failures. It guides technical teams through rapid triage (checking status codes, rate limits, and service status), implementing mitigation strategies like graceful degradation, and documenting post-incident reports (postmortem). Essential for maintaining service reliability during Intercom service interruptions.

This skill provides a comprehensive guide to setting up full observability for Intercom integrations. It covers implementing Prometheus metrics (counters, histograms, gauges) to track API request status, latency, and error rates. Furthermore, it demonstrates structured logging using Pino and OpenTelemetry tracing, offering deep, actionable insights into integration health. Ideal for DevOps, backend engineering, and robust system monitoring.

A comprehensive guide for optimizing Intercom API interactions. It covers advanced strategies such as implementing response caching (LRUCache), designing efficient search queries, handling large datasets with cursor-based pagination, managing connection pooling, and executing rate-aware parallel requests. Essential for developers building high-throughput, low-latency Intercom integrations.

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.