Skill UI

This guide provides comprehensive principles for modern game development, covering engine selection (Unity, Unreal, Godot), platform integration (Steam features, console compliance), input abstraction, and performance optimization techniques. It helps developers make informed decisions when building cross-platform games for PC and console environments.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

A comprehensive toolkit for the full software development lifecycle. It guides stack selection using a detailed decision engine, automatically scaffolds complex boilerplate projects across multiple popular stacks (Next.js, MERN, FastAPI, Django), and provides deep code quality analysis. Features include security vulnerability detection, complexity scoring, and dependency auditing, ensuring high-quality development from the start.

This comprehensive guide outlines the core principles for developing immersive Virtual and Augmented Reality (VR/AR) applications. It covers critical aspects such as platform selection (Quest, ARKit, ARCore), mandatory performance metrics (FPS, frame budget), user comfort techniques (motion sickness prevention), and best practices for spatial interaction and world design. Essential reading for engineers building next-generation spatial computing experiences.

This guide provides best practices for technical documentation, emphasizing the capture of context (the *why*) rather than just code (the *what*). It details how to write Architecture Decision Records (ADRs) for significant architectural choices, such as database selection, API design, and framework choice. Utilizing ADRs ensures that future engineers and teams understand the original reasoning, constraints, and trade-offs made during development.

This skill acts as a Go ecosystem expert, guiding developers through the process of selecting and vetting production-ready third-party libraries and frameworks for Go projects. It enforces best practices by prioritizing the standard library, ensuring library maturity, and evaluating performance and simplicity to avoid over-engineering. Use this when you need to compare alternatives or choose the optimal dependency for a specific task.