Skill UI

This abstraction provides a centralized mechanism for handling every incoming WebSocket message. Instead of directly subscribing to the service, handlers register themselves and are responsible for filtering the event payload based on a specific 'action'. This ensures components react only to the events they are interested in, promoting efficient and decoupled application architecture.

Design custom laboratory hardware components using parametric Python models with build123d. Export fabrication-ready files like STEP, STL, and DXF for microfluidic chips, mounts, and adapters. Ensure precise interface dimensions against standards for compatibility with lab equipment. Use for physical parts mating with standardized labware, optical tables, or manufacturing processes.

This deployment skill is designed to be integrated into the Playwright testing workflow. Its primary function is to validate the loading process of shared skills across the entire environment during the startup phase. It ensures that all necessary components and modules are correctly registered and available for reliable End-to-End (E2E) testing execution.

Expert guidance for modern Angular (v20+) development, covering Signals, Standalone Components, Zoneless apps, SSR/Hydration and reactive patterns to build and optimize high-performance frontend applications.

Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states. Ideal for frontend development tasks involving state management and user interface implementation.

Astro is a modern web framework designed specifically for building high-performance, content-heavy websites like blogs, documentation sites, and portfolios. Its core innovation is the Islands Architecture, which ships zero JavaScript by default, drastically improving performance and Core Web Vitals. It supports multi-framework components (React, Vue, Svelte) in a single project, making it ideal for content developers prioritizing speed and flexibility.

This skill enables building production-ready serverless applications on AWS. It covers core components like Lambda functions, API Gateway, and DynamoDB. It also includes event-driven patterns using SQS and SNS, deployment strategies with SAM or CDK, and optimization techniques for cold starts. Ideal for backend development and cloud-native architecture implementation.

Guidelines for building modern, maintainable Avalonia UI layouts with Zafiro.Avalonia, covering shared styles, semantic containers, icons, behaviors, and generic components while avoiding XAML redundancy and anti-patterns.

This .NET SDK enables developers to manage Azure Application Insights resources for application performance monitoring and observability. It supports creating components, retrieving connection strings, generating API keys, and configuring availability tests via C# code. Ideal for DevOps and backend development workflows involving cloud monitoring.

A comprehensive guide focused on mastering the Entity Component System (ECS) architecture within the Bevy game engine using Rust. Learn best practices for building high-performance, data-oriented game logic. This covers defining components, writing parallel systems, managing global resources, and optimizing queries for efficient, scalable game development.

This skill generates comprehensive C4 architecture documentation for existing repositories using a bottom-up analysis approach. It follows the C4 model (Context, Container, Component, Code) to create technical documentation suitable for both technical and non-technical stakeholders. The workflow analyzes code directories, synthesizes components, and maps containers to provide a complete architectural view.

This skill specializes in creating comprehensive C4 code-level documentation for software projects. It analyzes code directories to extract function signatures, arguments, dependencies, and structural information. The output includes detailed documentation and Mermaid diagrams to visualize code relationships, dependencies, and data flows. Use this for documenting complex code components, understanding system architecture at the code level, and generating best practice checklists for code structure.