Skill UI

AWT provides AI coding tools with visual perception and interaction capabilities for web applications. It executes declarative YAML test scenarios using Playwright, featuring visual matching via OpenCV and OCR without relying on stable DOM selectors. Supports platform auto-detection for frameworks like React and Vue, includes structured failure diagnosis, and maintains a learning database for failure patterns. Ideal for end-to-end testing workflows requiring visual assertions and AI-assisted debugging.

This skill provides comprehensive language-specific guidelines for writing idiomatic and efficient C# code. It covers essential topics such as LINQ usage, null handling, async/await patterns, records, pattern matching, error handling, and resource management. The guide also highlights common anti-patterns to avoid, ensuring developers follow best practices for maintainability and performance in C# projects.

This skill enables writing modern C# code utilizing advanced features such as records, pattern matching, and async/await. It focuses on optimizing .NET applications, implementing enterprise design patterns, and ensuring comprehensive testing coverage. Suitable for building scalable, maintainable enterprise-grade software solutions using the latest .NET ecosystem tools and best practices.

Language-specific super-code guidelines for Elixir and Erlang, covering pattern matching, pipe operator, OTP processes, error handling, collections, and anti-patterns to write idiomatic and efficient functional code.

This skill provides a quick reference for fp-ts types in TypeScript. It helps users decide between Option, Either, Task, and TaskEither types based on whether operations are async or involve errors. It includes common imports, one-line patterns for wrapping nullable values, and pattern matching examples. Ideal for developers needing type selection guidance or import statements for functional programming tasks.

Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns. Ideal for enterprise development, performance tuning, and cloud-native applications.

This skill provides comprehensive guidelines for writing idiomatic and efficient Rust code. It covers key topics such as ownership, borrowing, error handling, iterators, pattern matching, structs, enums, and concurrency. It helps developers avoid common anti-patterns and adopt best practices for production-ready Rust applications.

Provides best practices and idiomatic patterns for Scala development, covering collections, pattern matching, case classes, Option handling, implicits, concurrency, and common anti-patterns.