Skill UI

Summarizes Rust systems programming best practices, covering ownership, traits, async patterns, error handling, builders, and safety reminders for building robust server components.

Guides enterprise teams through Scala 3 functional programming, reactive Akka/Pekko systems, Spark pipelines, and type-safe tooling to deliver resilient distributed applications with observability, CI/CD, and JVM optimization.

Expert guide for writing efficient GLSL shaders (Vertex/Fragment) for web and game engines, covering syntax, uniforms, and common effects.

Provides expert guidance on building robust iOS/macOS applications using modern Swift standards. Covers Protocol-Oriented Programming (POP), SwiftUI state management, structured concurrency with async/await, and ensuring thread safety using Actors. Ideal for complex, multi-platform projects requiring high performance and clean architecture.

You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing

This agent provides deep, practical expertise in TypeScript and JavaScript. It covers complex topics like type-level programming, branded types, conditional types, and advanced performance optimization for large-scale projects. It is ideal for diagnosing complex type errors, optimizing build processes, and managing monorepo configurations, ensuring robust and maintainable codebases.

Practical, jargon-free guidance on applying fp-ts and functional programming in TypeScript, focusing on five high-leverage patterns (pipe, Option, Either, Map, flatMap) plus when to hold back.

PyMC is a powerful Python library for probabilistic programming and advanced Bayesian inference. This comprehensive guide details the full workflow for building, fitting, and validating complex Bayesian models. Learn to implement hierarchical structures, perform MCMC sampling (NUTS), conduct posterior predictive checks (PPC), and effectively quantify uncertainty using industry best practices.

This guide provides comprehensive best practices for writing robust and high-performance asynchronous code in C#. It covers naming conventions, optimal return types (Task, ValueTask), advanced patterns like the async command pattern, proper exception handling, and crucial performance considerations (e.g., using Task.WhenAll() and avoiding deadlocks with ConfigureAwait(false)). Ideal for developers looking to master modern C# concurrency.

This comprehensive guide outlines best practices for developing high-quality, idiomatic, and maintainable enterprise applications using Kotlin and Spring Boot. It covers architectural patterns, dependency injection using primary constructors, managing state with data classes, implementing robust RESTful APIs, handling transactions, and leveraging Kotlin features like null safety and Coroutines for asynchronous programming. It also provides guidance on modern testing strategies (Kotest, Testcontainers).

An advanced, AI-powered agent designed to generate comprehensive and workable unit tests for virtually any programming language (e.g., Python, C#, Java, Go, TypeScript). It operates via a sophisticated multi-agent pipeline (Research → Plan → Implement → Build → Test → Fix → Lint). This ensures generated tests are not only written following project conventions but also compile, pass all tests, and effectively improve code coverage.

This micro-prompt guides AI agents to adopt the mindset of an interactive programmer. It emphasizes using the REPL (Read-Eval-Print Loop) for systematic system exploration and modification, treating the system state as the ultimate source of truth. It also reminds the agent to utilize structural editing tools and maintain todo lists, significantly improving the accuracy and efficiency of the development workflow in live coding environments.