Skill UI

This tool analyzes the overall sentiment of the cryptocurrency market. It combines three key indicators—the Fear & Greed Index, real-time news analysis, and price/volume momentum—to generate a composite score (0-100). Users can check general market mood or focus on specific digital assets (e.g., BTC) to inform trading decisions and identify potential contrarian signals.

This tool analyzes the overall sentiment of the cryptocurrency market. It combines three key indicators—the Fear & Greed Index, real-time news analysis, and price/volume momentum—to generate a composite score (0-100). Users can check general market mood or focus on specific digital assets (e.g., BTC) to inform trading decisions and identify potential contrarian signals.

Expert proficiency in modern Angular development (v20+). Mastery includes Signals for fine-grained reactivity, Standalone Components for modular architecture, and Zoneless applications for peak performance. Skilled in implementing SSR, Hydration, and adopting the latest reactive patterns to build highly performant, scalable enterprise frontend applications.

Expert proficiency in modern Angular development (v20+). Mastery includes Signals for fine-grained reactivity, Standalone Components for modular architecture, and Zoneless applications for peak performance. Skilled in implementing SSR, Hydration, and adopting the latest reactive patterns to build highly performant, scalable enterprise frontend applications.

A specialist in modern Angular development (v17+), focusing on standalone components, Signals, and enterprise-grade architecture. This skill covers designing complex application flows, implementing robust state management using NgRx, managing reactive patterns with RxJS, optimizing bundle performance, and ensuring high code quality through rigorous testing and adherence to best practices.

A comprehensive guide detailing best practices for optimizing Angular applications. It covers critical topics like change detection strategies (OnPush, Signals), managing asynchronous data flows (avoiding waterfalls), optimizing bundle size via lazy loading and tree shaking, and improving rendering efficiency with modern features like @defer and trackBy. Use this when building, reviewing, or refactoring complex Angular components for peak performance.

This comprehensive guide covers modern state management patterns in Angular, including local state using Signals, complex global state handling with NgRx, and remote data synchronization with NgRx Query. It helps developers understand when to use Signals, NgRx, or other solutions for building robust, scalable, and maintainable applications.

This SDK allows developers to build robust anomaly detection applications in Java using Azure AI services. It supports both univariate and multivariate time-series analysis, enabling detection of outliers, trend changes, and correlated signals over large datasets. Ideal for real-time monitoring, operational intelligence, and advanced data quality checks.

This SDK allows developers to build robust anomaly detection applications in Java using Azure AI services. It supports both univariate and multivariate time-series analysis, enabling detection of outliers, trend changes, and correlated signals over large datasets. Ideal for real-time monitoring, operational intelligence, and advanced data quality checks.

This guide provides a comprehensive method for optimizing CodeRabbit's review process, focusing on improving speed, relevance, and the signal-to-noise ratio. Learn best practices for managing PR size, selecting the right review profile (e.g., 'assertive' vs. 'chill'), using path instructions to guide feedback, and filtering out low-value files. Ideal for teams looking to reduce review fatigue and ensure consistent code quality checks.

A comprehensive guide to understanding the complete state (context) available to Large Language Models during inference. Covers core components like System Prompts, Tool Definitions, Message History, and Retrieval Augmented Generation (RAG). Learning to engineer context is crucial for building robust, efficient, and reliable AI agent systems by managing the attention budget and ensuring high-signal information delivery.

Automates crafting APM dashboards by identifying required metrics, selecting golden signals, and generating configurations for Grafana, Datadog, or other monitoring platforms, so you can quickly visualize application health and performance.