Skill UI

Automates change-data-capture pipeline planning by guiding developers through ETL, orchestration, and streaming best practices, then generating validated configs and code when “cdc pipeline creator” is requested.

This guide provides expert patterns for building robust, observable infrastructure for database migrations. It covers real-time monitoring using Change Data Capture (CDC), metrics collection (Prometheus/Grafana), and anomaly detection. Use this skill when setting up CDC pipelines (e.g., Debezium with Kafka) or implementing comprehensive observability for database schema changes and data synchronization processes.

Automates choosing and configuring database audit logging strategies, offering trigger/application/CDC/log-based options, schema templates, and guidance for compliance or debugging workflows.

Analyze travel health risks for destinations, recommend vaccines and travel medicine, and generate multilingual emergency medical cards using WHO/CDC-style guidance. Useful for pre-trip planning, risk assessment, and post-travel monitoring.

This guide helps users select and implement the optimal architecture pattern for Salesforce integrations. It compares three main approaches: simple Direct API polling, highly scalable Event-Driven using Change Data Capture (CDC), and complex Enterprise Middleware/iPaaS solutions. Use this when designing new integrations, planning data migration, or determining the best sync method based on data volume, latency, and complexity requirements.

A comprehensive guide outlining production-ready reference architectures for building robust Salesforce integrations. Covers best practices for Node.js integration apps, SFDX metadata projects, and implementing modern event-driven sync patterns (e.g., CDC). Use this guide when designing complex Salesforce solutions, reviewing project structure, or establishing enterprise-level architectural standards.

This skill guides the implementation of robust, real-time data integrations with Salesforce. It covers three critical mechanisms: Change Data Capture (CDC) for tracking record changes, Platform Events for custom business event buses, and handling Outbound Messages. Learn how to build resilient, event-driven architectures using asynchronous streaming protocols and ensure idempotent event processing.

Master the creation of robust ELT (Extract, Load, Transform) data pipelines within Snowflake. This guide demonstrates advanced data orchestration using Snowflake Streams for Change Data Capture (CDC), Tasks for scheduled transformations and DAG management, and Dynamic Tables for declarative, auto-refreshing data models. Ideal for building sophisticated, scalable data warehousing solutions.