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Found 322 Skills
RivetKit backend and Rivet Actor runtime guidance. Use for building, modifying, debugging, or testing Rivet Actors, registries, serverless/runner modes, deployment, or actor-based workflows.
Provides TypeScript patterns for type-first development, making illegal states unrepresentable, exhaustive handling, and runtime validation. Must use when reading or writing TypeScript/JavaScript files.
Setup and configure assistant-ui in a project. Use when installing packages, configuring runtimes, or troubleshooting setup issues.
Debug ESP32 firmware issues including compilation errors, runtime panics, memory issues, and communication failures
Guides the user through implementing Tauri system tray functionality, including tray icon setup, tray menu creation, handling tray events, and updating the tray at runtime in the notification area.
CopilotKit integration patterns for providers, runtime wiring, `useCoAgent`, `useCopilotAction`, `useLangGraphInterrupt`, shared state, and HITL with LangGraph. Use when building agent-native product UX.
Diagnose and fix bugs using runtime execution traces. Use when debugging errors, analyzing failures, or finding root causes in Python, Node.js, or Java applications.
Guide for assistant-ui runtime system and state management. Use when working with runtimes, accessing state, or managing thread/message data.
TypeScript assertion function for runtime type narrowing with descriptive error messages. Based on tiny-invariant.
Expert localization decisions for iOS/tvOS: when runtime language switching is needed vs system handling, pluralization rule complexity by language, RTL layout strategies, and string key architecture. Use when internationalizing apps, handling RTL languages, or debugging localization issues. Trigger keywords: localization, i18n, l10n, NSLocalizedString, Localizable.strings, stringsdict, plurals, RTL, Arabic, Hebrew, SwiftGen, language switching
Zod schema validation patterns and type inference. Auto-loads when validating schemas, parsing data, validating forms, checking types at runtime, or using z.object/z.string/z.infer in TypeScript.
Implements high-performance local machine learning inference in the browser using ONNX Runtime Web. Use this skill when the user needs privacy-first, low-latency, or offline AI capabilities (e.g., image classification, object detection, or NLP) without server-side processing.