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Found 15 Skills
Load automatically when planning, researching, or implementing Medusa Admin dashboard UI (widgets, custom pages, forms, tables, data loading, navigation). REQUIRED for all admin UI work in ALL modes (planning, implementation, exploration). Contains design patterns, component usage, and data loading patterns that MCP servers don't provide.
TanStack Router best practices for type-safe routing, data loading, search params, and navigation. Activate when building React applications with complex routing needs.
Implement HTTP data fetching in Angular v20+ using resource(), httpResource(), and HttpClient. Use for API calls, data loading with signals, request/response handling, and interceptors. Triggers on data fetching, API integration, loading states, error handling, or converting Observable-based HTTP to signal-based patterns.
Reviews React Router code for proper data loading, mutations, error handling, and navigation patterns. Use when reviewing React Router v6.4+ code, loaders, actions, or navigation logic.
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.
Type-safe routing for React and Solid applications with first-class search params, data loading, and seamless integration with the React ecosystem.
Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.
Apply React Router 7 framework mode best practices including server-first data fetching, type-safe loaders/actions, proper hydration strategies, middleware authentication, handle metadata, useMatches/useRouteLoaderData hooks, and maximum type safety. Use when working with React Router 7 framework mode, implementing loaders, actions, route protection, breadcrumbs, streaming with Suspense/Await, URL search params, form validation, optimistic UI, resource routes (API endpoints), route configuration, or building SSR applications.
This skill should be used when the user asks to "add a LiveView page", "create a form", "handle real-time updates", "broadcast changes to users", "add a new route", "create an API endpoint", "fix this LiveView bug", "why is mount called twice?", or mentions handle_event, handle_info, handle_params, mount, channels, controllers, components, assigns, sockets, or PubSub. Essential for avoiding duplicate queries in mount.
Debug distributed training failures (NeMo, Megatron, PyTorch) from worker stderr logs and optional AIStore daemon logs. Finds root cause across NCCL timeouts, data loading errors, and storage failures.
This skill should be used when the user asks to "query BigQuery with Python", "use the google-cloud-bigquery SDK", "load data into BigQuery", "define a BigQuery schema", or needs guidance on best practices for the Python BigQuery client library.
Type-safe, file-based React routing with route loaders, search params validation, code splitting, preloading, navigation, route context, and TanStack Query integration. Use when setting up file-based routing, adding search params validation, implementing route loaders, code splitting routes, configuring virtual file routes, protecting routes with auth guards, or fixing type registration errors. Use for router setup, navigation patterns, URL state management, data loading.