Skill UI

This skill provides production-grade patterns for Unity's Data-Oriented Technology Stack (DOTS). It covers essential components like Entity Component System (ECS), the Job System, and the Burst Compiler, enabling developers to build high-performance, scalable games. Use this when optimizing CPU-bound logic, managing thousands of entities, or migrating traditional OOP game code to a data-oriented design.

A comprehensive guide to optimizing deep learning workflows and maximizing efficiency on cloud GPU platforms like Vast.ai. Learn techniques for selecting optimal instances by performance-per-dollar, reducing startup latency, tuning data pipelines (DataLoader, pin_memory), and scaling multi-GPU training using PyTorch and Bash scripting.

This skill provides robust strategies and Python implementations for dealing with API rate limiting (HTTP 429 errors) when interacting with services like Vast.ai. It includes automatic retry logic, exponential backoff algorithms, and optimized techniques for batch operations and polling, ensuring stable and efficient API throughput.

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

A comprehensive guide for diagnosing difficult and intermittent Vercel deployment issues. Covers advanced topics such as cold start analysis, edge function crashes, region-specific behavior isolation, function bundle optimization, and concurrency throttling. Use this when standard logging fails and systematic, deep-dive debugging is required for production stability.

A comprehensive guide for developers on handling sensitive data and ensuring compliance with major privacy regulations like GDPR and CCPA when deploying serverless functions on Vercel. Learn techniques for PII redaction in logs, implementing data subject rights (Right to Access/Erasure), securing session cookies, and configuring data residency to meet global privacy standards.

This comprehensive guide details the process of migrating applications to Vercel from various platforms, including Netlify, AWS, and Cloudflare. It covers critical steps such as configuration mapping (e.g., netlify.toml to vercel.json), migrating serverless functions, setting up environment variables, implementing DNS cutovers, and validating feature parity using advanced techniques like the Strangler Fig pattern, ensuring a smooth and reliable transition.

A comprehensive guide to optimizing Vercel deployment performance. This skill covers advanced techniques such as edge caching implementation (using Cache-Control headers), leveraging Incremental Static Regeneration (ISR), minimizing serverless function cold starts, and optimizing bundle size. Use this when facing slow page load times, needing to improve Core Web Vitals, or requiring robust, scalable deployment performance.

Automates the creation of Vitepress configuration for technical documentation, offering guidance, patterns, and validation for API docs, user guides, and architecture docs when the "vitepress config creator" intent is detected.

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.

A comprehensive guide for developers to measure, analyze, and optimize website and web application performance. Covers critical areas including Core Web Vitals (LCP, FID, CLS), reducing JavaScript bundle size, implementing effective caching, and optimizing rendering paths to boost user experience and SEO rankings.

This skill functions as a documentation architect, capable of generating highly structured wiki catalogues and comprehensive onboarding guides directly from a codebase. It scans the repository, detects architectural patterns, identifies technical layers (presentation, business logic, data access), and creates two distinct guides: a Principal-Level Guide for seniors and a Zero-to-Hero Path for newcomers, ensuring every detail is cited with specific file paths.