Skill UI

This expert guides you through building modern, high-performance applications across Apple platforms (iOS, macOS, watchOS, tvOS) using Swift 5.9+. It specializes in SwiftUI state management, Protocol-Oriented Architecture, concurrent programming with async/await and Actors, and implementing best practices for type safety and performance optimization. Ideal for developing complex, robust applications.

Automates Tailwind class optimization for frontend developers, guiding users through best practices, validating CSS patterns, and generating React/Vue-friendly code with accessibility and performance assurances.

Automated guidance for Teams Webhook Sender scenarios within business automation, offering best-practice patterns, ready-to-use configurations, and validation steps for workflow, email, spreadsheet, and process optimization tasks.

Automates TensorFlow SavedModel deployment support with step-by-step guidance, best-practice patterns, production-ready code/config generation, and validation for serving, monitoring, and optimization scenarios.

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

This guide provides comprehensive patterns for optimizing Turborepo build pipelines within monorepos. It covers local and remote caching strategies, including integration with Vercel and self-hosted solutions. Use it when setting up new monorepos, improving CI/CD performance, or debugging complex build dependency issues.

This skill provides deep, practical expertise in TypeScript and JavaScript, covering advanced type-level programming, performance optimization, and complex build toolchain management. It is ideal for architects building large-scale, highly performant, and type-safe corporate applications, including monorepo setup and intricate dependency resolution.

An expert guide for building high-performance, cross-platform games using Unity 6 LTS. This skill covers advanced C# programming (DOTS, Job System), modern rendering pipelines (URP/HDRP), comprehensive performance optimization (Profiling, Culling), advanced game architecture (ECS, MVC), and networked multiplayer implementation. Ideal for professional game developers tackling complex, large-scale projects.

This comprehensive script suite provides methods to optimize GPU cloud computing expenses on Vast.ai. It guides users through selecting the most cost-efficient GPU for their workload, leveraging interruptible (spot) instances, and implementing critical lifecycle management safeguards. Features include detecting idle compute resources, auto-destroy timers, and calculating total cost burn rates, ensuring AI model training and inference jobs stay within budget.

Expert capability for designing and implementing complex semantic search systems using vector databases. Proficient in embedding strategies, index optimization (HNSW, IVF), and advanced retrieval methods like RAG and hybrid search. Masters major platforms including Pinecone, Weaviate, Qdrant, Milvus, and pgvector for building sophisticated recommendation and similarity search applications.

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 to optimizing cloud expenditure on the Vercel platform. It details how to understand the Fluid Compute pricing model, identify key cost drivers (such as function execution time, bandwidth, and middleware invocations), and implement best practices like edge caching, memory right-sizing, and aggressive asset caching. Use this when analyzing high Vercel billing, implementing cost controls, or managing a SaaS budget.