Skill UI

This skill outlines implementation patterns for integrating with the Podium REST API, focusing specifically on handling rate limits and OAuth2 authentication. It provides best practices for secure API calls across key business functionalities such as messaging, review management, and payments. Learn how to implement error handling (e.g., 429 Rate Limited) and robust retry logic for stable system operation.

This guide provides the comprehensive reference architecture and implementation patterns for integrating with the Podium REST API. It details secure OAuth2 authentication, covering how to manage core business functions such as messaging, handling customer reviews, and processing payments. Use this when building scalable applications that require deep communication platform connectivity.

This guide provides comprehensive implementation patterns for integrating with the Podium API. It covers best practices for managing business messaging, collecting reviews, and processing payments via a robust REST API framework. Key features include OAuth2 authentication setup, robust error handling (e.g., rate limiting, token refresh), and structured API calls, ensuring reliable communication workflows across your application.

This guide provides implementation patterns for secure integration with the Podium API using REST API calls. It focuses on establishing robust connections with OAuth2 authentication for managing core business functions, including messaging, retrieving customer reviews, and processing payments. It also details essential error handling strategies.

This skill provides implementation patterns for integrating with the Podium API, a robust platform for business messaging, review management, and payment processing. It demonstrates best practices for using REST APIs with OAuth2 authentication. Users can use this guide to connect their systems, handle complex operations like fetching location data, and implement critical error handling and retry logic for stability.

This skill guides the end-to-end development, implementation, and validation of production-ready Python modules for Azure IoT Edge. It covers critical aspects including telemetry processing, protocol adaptation (Modbus, OPC-UA), local inference, and ensuring robust, secure edge-to-cloud messaging under variable network conditions.

This skill guides developers on integrating CommunityToolkit.Mvvm ViewModels with Microsoft's Dependency Injection system. It covers setting up the composition root using the .NET Generic Host, managing service lifetimes (Singleton, Transient, Scoped), implementing constructor injection, and correctly registering messaging services (IMessenger) for robust, cross-platform XAML applications (WPF, MAUI, Uno, Avalonia).

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 comprehensive guide to Redis best practices for backend development. Learn how to implement critical features such as Cache-Aside, Write-Through caching, rate limiting, distributed locks, and reliable messaging using Pub/Sub and Redis Streams. Essential for building scalable, high-performance production systems.

This comprehensive skill provides foundational knowledge in core marketing concepts, psychological principles, and strategic frameworks. It covers the entire customer journey, from initial awareness (TOFU) through consideration, decision, and advocacy. Users can apply advanced models like the Funnel Model, Value Proposition Canvas, and Positioning Statements to structure effective campaigns, refine messaging, and measure key business results.

A comprehensive guide and workflow to create or update a single, reusable product marketing context document. This tool captures foundational elements—such as positioning, Ideal Customer Profile (ICP), use cases, and core messaging—ensuring brand consistency and preventing the need to repeat core business information across multiple projects and tasks.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.