Skill UI

This skill provides advanced engineering patterns to dramatically improve the performance and reliability of Customer.io API integrations. It implements critical optimizations such as HTTP connection pooling, LRU deduplication caching, parallel batch processing, and fire-and-forget async tracking. Use this when integrating Customer.io into high-throughput, mission-critical systems to reduce latency from seconds to milliseconds.

This comprehensive workflow provides the blueprint for deeply integrating a SaaS application with Customer.io. It defines a robust event taxonomy and implements service methods to track critical user lifecycle events (e.g., signup, feature usage, upgrades, cancellations). These tracked events act as triggers, powering automated campaigns, welcome sequences, and re-engagement flows, ensuring continuous user nurturing and improving conversion rates.

A comprehensive, step-by-step checklist and audit script designed for validating Customer.io integrations before going live. It covers credential verification, email deliverability setup (SPF, DKIM, DMARC), API connectivity smoke tests, campaign readiness, and setting up operational monitoring alerts for a smooth, reliable production launch.

Implements robust mechanisms for handling API rate limits (e.g., 429 errors) when interacting with services like Customer.io. It utilizes the Token Bucket algorithm for precise throttling and combines it with exponential backoff, jitter, and queue processing (p-queue) to ensure high reliability and prevent API overloads.

A comprehensive reference architecture guide for implementing enterprise-grade integrations with Customer.io. It details best practices for building robust, scalable, and reliable systems, focusing on event-driven patterns, message queuing (e.g., Redis/Kafka), service layer separation, and idempotency. Ideal for designing complex data pipelines and ensuring high availability in mission-critical applications.

This guide provides technical patterns for building fault-tolerant integrations with Customer.io. Learn to implement critical resilience techniques, including Circuit Breakers to prevent cascading failures, Retry with Jitter for handling transient errors, and Fallback Queues (using Redis) to ensure data continuity during service outages. Essential for robust, production-grade applications.

This guide details production-ready patterns for integrating the Customer.io SDK (customerio-node). It covers best practices including building type-safe clients, implementing robust retry logic with exponential backoff for network stability, performing efficient event batching for high-volume data streams, and managing singleton lifecycles. Use these patterns to build scalable, reliable, and maintainable user behavior tracking systems.

This comprehensive guide details essential security best practices for integrating with Customer.io. It covers secure credential storage using secrets managers, sanitizing Personally Identifiable Information (PII) via hashing, verifying webhook signatures (HMAC-SHA256) to ensure data integrity, and establishing procedures for API key rotation to maintain compliance with GDPR/CCPA regulations.

A comprehensive guide for safely upgrading and migrating the Customer.io Node SDK. It details the necessary steps for handling major version changes, such as transitioning from the legacy CustomerIO class to the modern TrackClient and APIClient pattern. Use this skill when refactoring old code, adapting to breaking API changes, or ensuring compatibility with the latest SDK best practices.

Automates Cutt Ly operations by orchestrating Composio toolkits through the Rube MCP interface, ensuring you always discover current schemas, manage connections, and execute compliant workflows for bulk or single tasks.

Automates D2lbrightspace operations through Composio’s toolkit using Rube MCP, outlining prerequisites, tool discovery queries, connection validation, execution steps, and known pitfalls like schema compliance and pagination handling.

Defines how to automate Dadata Ru operations through Composio’s Rube MCP, covering prerequisite connection checks, schema-aware tool discovery, execution patterns, and common pitfalls so agents can run reliable workflows with updated tool interfaces.