Skill UI

This tool generates a complete, production-ready project scaffold for a Model Context Protocol (MCP) server written in Ruby. It includes the necessary file structure, gem dependencies, Rake tasks, and boilerplate code for defining tools, prompts, and resources, accelerating backend development for AI applications.

A comprehensive scaffold generator for building Model Context Protocol (MCP) servers using TypeScript and Node.js. This tool provides a complete, production-ready boilerplate, including proper project structure, dependency management (e.g., @modelcontextprotocol/sdk, zod), and implementation details for tools and resources. It supports both HTTP and stdio transport mechanisms, ensuring type safety, robust error handling, and best practices for modern backend development.

This skill scaffolds the complete boilerplate structure for a new mobile screen or page. It ensures that the resulting component adheres to established design system patterns, including Top Bars, Bottom Navigation, and standard content shells. Use it when starting a new dedicated mobile view and needing immediate adherence to design tokens and layout rules.

A comprehensive framework designed to structure and automate PyTorch deep learning workflows. It simplifies boilerplate code by organizing models into LightningModules, automating training loops via the Trainer, and providing robust support for multi-GPU/TPU scaling (DDP, FSDP, DeepSpeed), data handling (DataModules), and best-in-class experiment logging (W&B, MLflow). Ideal for professional, scalable deep learning project development.

This guide outlines setting up a robust, reproducible local development environment for Klaviyo integrations. It provides boilerplate for hot reloading, mocking the SDK, and running both unit and integration tests, ensuring fast and reliable API iteration cycles for marketing automation.

This skill automatically converts structured data specifications (such as CSV, JSON schemas, SQL DDL, or Protobuf definitions) into functional, production-ready code. It generates complete models, validation logic, full CRUD API endpoints, and unit tests in multiple languages (Python, TypeScript, Go, etc.), significantly reducing boilerplate coding time and ensuring type safety.

This skill provides a detailed guide on extending the Webiny Command Line Interface (CLI) by implementing custom commands. It utilizes the `CliCommandFactory` pattern to define structured commands, manage typed parameters, and execute complex logic. Use cases include automating data migrations, generating boilerplate code, executing custom deployment workflows, and performing CMS content exports.

A comprehensive toolkit providing source generators and base classes for implementing the Model-View-ViewModel (MVVM) pattern in .NET applications. It simplifies the creation of observable properties, commands, and validation logic, significantly reducing boilerplate code. Supports major cross-platform UI frameworks including WPF, WinUI 3, MAUI, and Avalonia.

Generates a highly polished, self-contained single-page HTML landing page optimized for maximum conversion. It incorporates advanced features like 3D CSS animations, GSAP scroll effects, and mouse parallax depth. To ensure accuracy, the skill uses a structured intake process (product pitch, target audience, brand colors, and tone) to build a conversion-ready page that reflects the actual product, not generic boilerplate. Outputs a single, deployable HTML file.

This guide helps developers audit and clean up Vite + React projects initialized using the Lovable scaffolding tool. It systematically removes all boilerplate artifacts, including placeholder assets, dedicated dependencies (like lovable-tagger), generated documentation, and unnecessary components (e.g., unused Radix deps). The goal is to deliver a clean, fully owned, and production-ready codebase.

This skill generates complete, production-grade client SDKs and API wrapper libraries for any REST API, regardless of the language (Python, TypeScript, etc.). It handles boilerplate code like authentication, retry logic (exponential backoff), data modeling, and structured resource management, saving significant development time. Use it whenever you need to consume a REST API via code.

This skill enforces highly efficient coding practices, guiding the AI to write the simplest, most direct code possible. It strictly follows an 'Efficiency Ladder' (YAGNI, reusing existing code, standard library, etc.) to prevent over-engineering, unnecessary abstractions, and boilerplate. Use this when the goal is maximum efficiency with minimal code.