Skill UI

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 event-driven patterns within Snowflake using native alerts, email integrations, external functions, and cloud notification services (S3/GCS). This skill is essential for building robust, reactive pipelines that trigger actions (like sending alerts, calling external APIs, or ingesting data) in response to data changes or specific system events. Use cases include data quality checks, real-time monitoring, and automated notifications.

This utility handles asynchronous webhook events from Together AI, enabling developers to build robust, event-driven Machine Learning pipelines. Instead of constantly polling the API for status updates (e.g., fine-tuning completion, batch job status, model deprecation), you can subscribe to these webhooks. It includes logic for signature verification, event routing, and idempotency, making it ideal for mission-critical AI workflows.

This guide provides comprehensive implementation details for Webflow webhooks. It covers the entire lifecycle, including registering various trigger types (form submissions, new orders, site publishing) via the API. Critically, it teaches how to set up a secure backend endpoint with HMAC signature verification, allowing users to build robust, event-driven workflows that react automatically to user actions within Webflow.

This tool enables the real-time transmission of structured Aegis events (such as clip completion or person detection) to any external webhook URL. By posting event data as JSON, it seamlessly integrates Aegis functionality with major automation platforms like Zapier, IFTTT, Make, or custom backend services, allowing users to build complex, event-driven workflows and extend system capabilities.

This module provides core abstractions for implementing event-driven architecture within APIs. It includes `DomainEvent`, the fundamental base class for all domain events, and `EventPublisher`, which facilitates the structured publishing of these events to registered handlers. It is crucial for building highly decoupled, scalable, and maintainable backend services.

This tool analyzes and refactors code to detect and correct anemic domain models. It enforces rich domain modeling patterns (Entities, Value Objects, Aggregates, Domain Events), improving encapsulation and business logic ownership. Use it when validating, reviewing, or refactoring core domain logic to ensure adherence to Domain-Driven Design (DDD) principles.

A comprehensive guide to Test-Driven Development (TDD) for Quarkus 3.x services, focusing on achieving high coverage (80%+). It covers unit testing with Mockito, integration testing of REST endpoints, and advanced testing of event-driven architectures using Apache Camel and RabbitMQ.

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.