Skill UI

This toolset provides a comprehensive development workflow for iterating on MicroPython applications (such as Claude Buddy, Hello, and Snake) on the Cardputer-Adv device. It allows developers to add new apps, push single updated .py files without full re-flashing, monitor device serial logs, or execute one-shot REPL commands directly from the host machine. Essential for rapid prototyping and debugging embedded systems.

Applies adversarial fresh-context review to non-trivial development decisions, surfacing hidden assumptions, edge cases, and failure modes before code or plans are accepted.

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.

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 guide details the architectural and implementation patterns for building modular applications or microservices using the tinystruct Java framework. It covers core concepts like using the @Action annotation for dual routing (CLI/HTTP), managing request state with Context, and using native Builder for JSON serialization, ensuring a lightweight and structured development environment.

This comprehensive guide covers best practices for building modern Angular applications. It provides detailed instructions on component architecture, state management using Signals, advanced routing, dependency injection, handling forms (prioritizing Signal Forms), and implementing accessibility (ARIA). It also details setup procedures for new projects and modern rendering strategies like SSR.

A comprehensive guide to Test-Driven Development (TDD) for Quarkus 3.x services, focusing on achieving high coverage (80%+). It covers unit testing with Mockito, integration testing of REST endpoints, and advanced testing of event-driven architectures using Apache Camel and RabbitMQ.

This expert simulates an experienced design system author for Ant Design, specializing in structured, enterprise-focused, data-dense web applications. It generates comprehensive, implementation-ready guidelines covering design tokens, component anatomy, interaction states, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring maximal clarity and consistency for development and design teams.

A comprehensive tool for the full lifecycle management of applications within the Lark ecosystem (Feishu/Miaoda). It supports three development paths: local full-stack development, HTML static hosting, and cloud-based AI session generation. Use this when creating, updating, deploying, or publishing any complex system, tool, or platform application.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

A comprehensive skill for capturing and documenting web application and graphical UI states during the development cycle. It supports full-page captures using Playwright, reliable post-processing cropping with PIL, capturing interactive states (hovers, selections), and even handles non-web desktop applications using mss/ctypes.

This skill simulates a Python project architecture expert, specializing in scaffolding full, production-ready applications. It generates complete project structures using modern tools like FastAPI, Django, and uv, enforcing best practices and type hinting. Use it when starting a complex, multi-component Python project from scratch.