Skill UI

Scan Apple's SwiftUI documentation via the Sosumi MCP to find deprecated APIs and their modern replacements, then update the SwiftUI Expert Skill reference file and open a pull request.

This skill provides comprehensive guidelines for upgrading Expo SDK versions and resolving dependency conflicts. It covers migration paths for React 19, new architecture, and deprecated packages like expo-av. Users will learn step-by-step processes including cache clearing, prebuild configuration, and updating app.json settings. It also addresses Hermes engine v1 adoption and Metro configuration changes. Essential for maintaining modern React Native projects.

Expo DOM components allow running web code directly in native webviews, enabling the use of web-only libraries like Recharts without modification. This facilitates incremental migration of web code to native apps and supports complex HTML/CSS layouts not available in standard React Native.

This skill generates appropriate user feedback states for components and pages, including loading skeletons, empty states, error messages, and success toasts. It ensures consistent UI presentation by implementing specific design patterns for data-dependent areas, handling partial or full failures, and providing retry mechanisms. It follows design language references for animations and accessibility, suitable for React-based frontend development workflows.

This skill assists in designing user flows and navigation structures based on proven UX patterns. It covers information architecture, navigation patterns like hub and spoke, and screen flow rules. It outputs ASCII flow diagrams, screen inventories, and edge cases. Suitable for planning mobile app and web interface structures before implementing specific pages or copy.

This skill applies behavioral psychology and choice architecture principles to optimize UX flows. It reduces friction, increases user commitment, and guides decisions ethically without coercion. Ideal for redesigning product pages where interaction design causes conversion friction. It ensures clear paths, sensible defaults, and avoids dark patterns while supporting accessibility and informed choice.

Manage environment variables and secrets safely so credentials never leak into Claude sessions, terminal output, logs, or git commits. Useful for configuring apps, CI pipelines, and shared repos while keeping API keys and tokens protected from accidental exposure.

Expert in vector databases, embedding strategies, and semantic search implementation. Proficient with tools like Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Optimizes index configuration, hybrid search, and performance tuning for scalable AI systems.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

This skill provides expert knowledge for deploying Next.js applications to the Vercel platform. It covers configuration, environment variables, and production deployment processes. Use this when users request hosting solutions, serverless functions, or edge functions specifically for Vercel. It ensures proper setup and validation before going live.

This skill enables developers to deploy frontend and full-stack applications on Vercel efficiently. It covers setting up preview environments for pull requests, configuring edge functions, managing environment variables across different stages, and implementing production guardrails. Includes integration with GitHub Actions for automated CI/CD pipelines and security best practices like custom domains and headers.

This skill performs an observability-first audit of deployed Vercel applications. It comprehensively analyzes production metrics, project configurations, and codebase scans to identify potential cost overruns and performance bottlenecks. It provides version-aware, actionable recommendations for improving application efficiency and reducing cloud expenditure.