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.

This guide outlines production-ready patterns for integrating SerpApi into robust search services. It covers essential best practices, including defining typed result interfaces for type safety, implementing LRU caching to conserve API credits, and building multi-engine abstractions to handle various search types (web, news, images). It also demonstrates asynchronous search processing for non-blocking operations.

This skill implements comprehensive SERP (Search Engine Results Page) monitoring using SerpApi. It covers asynchronous search result retrieval via polling and builds robust pipelines for tracking keyword rankings over time. Ideal for SEO tools, competitive intelligence, and automated performance monitoring.

This guide provides production-ready, idiomatic patterns for interacting with Snowflake using official SDKs (Node.js and Python). It covers essential patterns like implementing robust connection pooling, handling asynchronous query wrappers, efficiently streaming large result sets, and utilizing context managers for reliable resource cleanup. Use this when establishing team coding standards or optimizing data access performance.

A comprehensive reference architecture for building scalable, cost-effective, and robust AI services. This system manages the full AI lifecycle, including intelligent model routing (for quality/cost trade-offs), response caching (using Redis), asynchronous batch processing, and fine-tuning pipeline management via Together AI's OpenAI-compatible API. Ideal for enterprise applications requiring high availability across multiple open-source models.

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 module provides essential abstractions for managing long-running background tasks within an API context. It includes `TaskDefinition` for defining the complete lifecycle and logic of a background job, and `TaskService` for triggering, initiating, and managing these tasks programmatically. It is crucial for implementing reliable, asynchronous workflows in web applications.

This guide demonstrates how to integrate Wispr Flow for robust voice-to-text transcription. It covers two primary methods: asynchronous REST calls for transcribing audio files, and real-time WebSocket streaming for live microphone input. Wispr specializes in developer-context-aware dictation, making it ideal for building complex voice-powered applications, especially those involving code or technical jargon.

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

The CommunityToolkit.Mvvm Messenger provides a robust Publish/Subscribe messaging system for ViewModels and other objects. It allows multiple components to communicate asynchronously without holding direct references, effectively eliminating tight coupling. Supports various messaging patterns, including simple value broadcasts, request/reply (sync/async), and collection requests, making it ideal for complex applications using WPF, WinUI 3, .NET MAUI, or Avalonia.

A powerful solution for handling background jobs and asynchronous tasks within Django applications using Celery. It facilitates task queuing, reliable worker management, scheduled execution (cron jobs), and robust error handling. Ideal for sending emails, processing heavy data loads, or managing complex, multi-step workflows without blocking the main thread.

HasData is a comprehensive cloud platform designed for extracting structured public web data. It supports three core execution modes: Web Scraping API for arbitrary URLs (including JS rendering), pre-parsed Scraper APIs for known platforms (like Google or Amazon), and asynchronous Scraper Jobs for bulk or recursive crawling. Ideal for market research, e-commerce intelligence, job data collection, and local business lead generation.