Skill UI

This guide details how to set up robust CI/CD pipelines for Intercom integrations using GitHub Actions. It covers unit testing with mocked SDKs and advanced integration testing against a development workspace. Use this when automating quality checks, managing Intercom API secrets, or integrating Intercom functionality into your deployment process.

This guide provides a quick reference for diagnosing and fixing common errors encountered when using the Intercom API. It details specific HTTP status codes (e.g., 401, 404, 429), their root causes, and actionable solutions, including code snippets for secure API interaction and implementing backoff logic for rate limiting. Essential for developers troubleshooting integration failures.

This script gathers comprehensive diagnostic evidence for troubleshooting Intercom integrations. It systematically checks API authentication status, rate limits, platform status, SDK versions, and collects redacted logs. Use this utility when encountering persistent bugs or preparing detailed technical support tickets for Intercom support.

This guide provides comprehensive instructions on configuring enterprise-grade access control for Intercom. It covers managing admin roles (Owner, Admin, Agent), implementing OAuth scope-based access for public apps, and enforcing granular permissions at the application layer using TypeScript examples. Essential for building secure, multi-tenant SaaS solutions.

A comprehensive technical guide for executing major data migrations and re-platforming to Intercom. It covers bulk contact imports, syncing conversation histories, migrating company data, and transferring help center articles from source systems like Zendesk or Freshdesk.

Automatically scaffolds the initial project specification and requirements documents (spec.json and requirements.md). It guides the user through scope definition by checking existing project briefs, clarifying intent (who, current state, desired change), and generating a structured, ready-to-use foundation for development planning. Ideal for starting any new feature or project.

Automatically collects comprehensive diagnostic evidence for Klaviyo support tickets. This tool gathers environment details, SDK versions, API connectivity test results, rate limit headers, and recent application logs, ensuring support teams have all necessary data for efficient troubleshooting of persistent marketing automation issues.

A comprehensive guide on implementing robust Role-Based Access Control (RBAC) for Klaviyo integrations. It details how to use scoped API keys and OAuth 2.0 flows to define granular read/write permissions across various resources (profiles, campaigns, events). This is essential for building secure, multi-tenant applications that require precise permission management.

This script provides a minimal, working example using the Node.js SDK to interact with the Klaviyo API. It demonstrates core capabilities: creating or updating user profiles, tracking custom events associated with those profiles, and querying profile data. This is ideal for initial integration setup, testing basic API connectivity, or learning the foundational patterns of profile management and event tracking in an e-commerce marketing context.

This guide outlines setting up a robust, reproducible local development environment for Klaviyo integrations. It provides boilerplate for hot reloading, mocking the SDK, and running both unit and integration tests, ensuring fast and reliable API iteration cycles for marketing automation.

A comprehensive guide to implementing observability for Klaviyo API integrations. This solution uses Prometheus metrics (counters, histograms, gauges) to track API volume, latency, and errors, combined with OpenTelemetry for distributed tracing and structured logging. Ideal for setting up robust monitoring dashboards and critical alerting systems for marketing data pipelines.

This comprehensive guide provides advanced strategies for optimizing interactions with the Klaviyo API. It covers implementing response caching (LRU Cache), efficient cursor-based pagination, request batching using DataLoader, and controlling API concurrency. Use this when dealing with slow API responses, large datasets, or high-throughput integration requirements.