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Manages shadcn-svelte components and projects — adding, updating, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn-svelte, the CLI, design-system presets, or any project with a components.json file. Also triggers for "shadcn-svelte init", "add component", or registry URLs.

Build, review, debug, and refactor accessible SvelteKit form UI using Formsnap with sveltekit-superforms, including Field, Fieldset, Control, Label, Description, FieldErrors, ElementField, Svelte 5 snippets, shadcn-svelte form wrappers, dynamic arrays, checkbox/radio groups, and custom controls.

Build, review, debug, and refactor SvelteKit forms using sveltekit-superforms, schema adapters, server actions, progressive enhancement, client validation, nested data, multiple forms, files, messages, and tainted-state handling.

Build, debug, and review SvelteKit node editors and graph UIs using Svelte Flow / @xyflow/svelte. Use this for workflow builders, visual programming, automation editors, graph diagrams, custom nodes/edges, handles, minimaps, graph persistence, validation, layouting, migration to Svelte Flow v1/Svelte 5, or troubleshooting pan/zoom/connection behavior.

Build, debug, and review SvelteKit 3D experiences using Threlte, Three.js, @threlte/extras, @threlte/gltf, @threlte/rapier, @threlte/theatre, and related packages. Use this when the user asks for Svelte/SvelteKit 3D scenes, model viewers, configurators, physics, game-like scenes, scroll-driven 3D, performance fixes, Threlte code review, or migration from imperative Three.js.

Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

Best practices for building on-device AI features in React Native using React Native ExecuTorch. Use when the user wants to add AI to a mobile app without cloud dependencies: chatbots and assistants, image classification, object detection, OCR and document parsing, style transfer, image generation, speech-to-text, text-to-speech, voice activity detection, semantic search with embeddings, real-time camera AI with VisionCamera, or vision-language image understanding. Also use when the user mentions offline AI, on-device ML, privacy-preserving AI, reducing cloud API costs or latency, running models locally on mobile, or downloading and managing ML models. Covers react-native-executorch hooks (useLLM, useClassification, useObjectDetection, useOCR, useSemanticSegmentation, useInstanceSegmentation, useStyleTransfer, useTextToImage, useImageEmbeddings, useSpeechToText, useTextToSpeech, useVAD, useTextEmbeddings, useExecutorchModule), tool calling, structured output, VLMs, model loading, and resource management.

Software Mansion's best practices for production React Native and Expo apps on the New Architecture. MUST USE before writing, reviewing, or debugging ANY code in a React Native or Expo project. If the working directory contains a package.json with react-native, expo, or expo-router as a dependency, this skill applies. Trigger on: any code task in a React Native/Expo project, 'React Native', 'Expo', 'New Architecture', 'Reanimated', 'Gesture Handler', 'react-native-svg', 'ExecuTorch', 'react-native-audio-api', 'react-native-enriched', 'Worklet', 'Fabric', 'TurboModule', 'WebGPU', 'react-native-wgpu', 'TypeGPU', 'GPU shader', 'WGSL', 'svg', 'animation', 'gesture', 'audio', 'rich text', 'AI model', 'multithreading', 'chart', 'vector', 'image filter', 'shared value', 'useSharedValue', 'runOnJS', 'scheduleOnRN', 'thread', 'worklet', or any question involving UI, graphics, native modules, or React Native threading and animation behavior. Also use when a more specific sub-skill matches.

Full confirmed-brief-then-build flow. Runs multi-round shape discovery first, resolves visual probe and north-star mock gates when available, then builds and visually iterates. Use when building a new feature end-to-end.

Gathers design context for a project. Runs a multi-round discovery interview when context is missing and writes PRODUCT.md (strategic: users, brand, principles) and, when code exists to analyze, DESIGN.md (visual: colors, typography, components). Every other command reads these files before doing work. Use once per project.

Agent skill for React Native Reusables — shadcn-style components for React Native (Expo) with Nativewind/Uniwind, RN Primitives, and CLI-driven scaffolding.

sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partition key, float[N], int8[N], bit[N], serialize_float32, serialize_int8, vec_f32, vec_int8, vec_bit, vec_normalize, vec_quantize_binary, distance_metric, metadata columns, auxiliary columns.

Huma - Go REST/RPC API Framework. Use with Echo adapter (humaecho) for OpenAPI 3.1 generation.

Type-safe OpenAPI consumption in TypeScript using openapi-typescript and openapi-fetch.