381 skills · sorted by relevance
Manage Notion pages and workspace data through its command-line tool or API. Create and update pages in Markdown, filter records, search content, handle files and comments, and deploy Workers, subject to workspace availability.
Guide Swift 6.2 migration and concurrency design using MainActor, which keeps related work on the main actor. Address data-race compiler errors, protocol conformance, and explicit background execution for heavy computations through @concurrent.
Build and review React 18/19 components with guidance on state management, data fetching, forms, loading states, and error handling. It also covers keyboard access and how to divide components between server and browser execution.
Implement asynchronous work and changing data streams in Android and Kotlin Multiplatform apps using Kotlin Coroutines and Flow. Apply patterns for parallel loading, UI state updates, cancellation, error handling, and tests that check emitted values.
Helps you build similarity search with FAISS to find nearby vectors, numerical representations of data. Covers index selection, saving and loading, GPU use, and tuning search speed, accuracy, and memory consumption for large datasets.
Search and update Notion pages and databases, read or write Markdown, and upload files through the API or ntn CLI. Also build Workers, programs hosted by Notion, for scheduled syncing, agent tools, and incoming events.
Audit page loading and choose resource hints, browser instructions for fetching files or preparing connections early. Use measurements to identify delays, then suggest preload, preconnect, prefetch, or dns-prefetch for critical assets, external services, and likely next-page resources.
Measure how Google Tag Manager affects page loading and rendering. Identify costly tags, triggers, and requests, then guide cleanup, asynchronous loading, or a move to server-side processing based on observed performance problems.
Write, review, and refactor React and Next.js code using performance guidelines from Vercel. Prioritized rules help identify sequential data requests, oversized JavaScript bundles, unnecessary re-renders, and other opportunities to improve loading and responsiveness.
Analyze Neuropixels neural recordings with SpikeInterface, from loading and preprocessing to motion correction and spike sorting, which separates signals by neuron. Calculate quality metrics, review candidate units, and export plots and data for further inspection.
Write, review, or refactor React and Next.js code using prioritized performance guidelines. Address sequential data requests, large bundles of browser code, server work, and unnecessary rendering, with explanations and code examples for each rule.
Implement .NET workflows for Azure AI Foundry projects, including agent creation, resource connections, dataset uploads, model deployment inspection, search index management, and evaluations. Examples also cover authentication, asynchronous operations, and resource cleanup.
Build systems that use Pinecone to find documents for AI answers or retain agent memories across sessions. Guides index setup, data loading, meaning-based and keyword search, memory separation, and end-to-end checks.
Plan website improvements for organic search traffic through keyword research, content structure, page metadata, and technical checks. Get guidance on internal links, structured data that describes page content, loading speed, and ongoing performance monitoring.
Write, review, and refactor React and Next.js code using performance guidelines ranked by impact. Covers sequential data requests, downloaded code size, server work, and unnecessary rendering to guide concrete implementation improvements.
Create Vitest tests for Mastra playground features using MSW to simulate network responses. Exercise the real client SDK, React Query cache, and components with typed sample data to check loading, access conditions, redirects, and errors.
Build Next.js applications with App Router, the app directory routing system. Get guidance on server rendering, data fetching, caching, API endpoints, and deployment settings, including loading states and image optimization for responsive page experiences.
Build charts with TradingView's lightweight-charts, including candlesticks, lines, live updates, scales, and annotations. Guidance checks installed types and v5 APIs to support chart integration, framework lifecycle handling, and troubleshooting of common data and display issues.
Add PyTorch FSDP2 to training scripts so model state can be split across GPUs. Covers distributed initialization, mixed precision, CPU offloading, and checkpoint saving and loading for models that exceed a single GPU's memory.
Build dashboard panels in plain TypeScript with saved sizes and expanded or collapsed states. The pattern includes data fetching retries with increasing delays, loading indicators, error messages, and a shared base class for consistent panel behavior.
Build dashboard panels in plain TypeScript with titles, counts, loading states, and retry controls. Includes patterns for escaping external text before HTML insertion to address XSS, where untrusted content can run scripts in a page.
Create dashboard panels in plain TypeScript using the browser’s page-building API. Follow a shared base class to add titles, counts, loading indicators, error messages, manual retry buttons, and periodically refreshed content.
Build TypeScript interface panels with badges, thumbnails, and colors driven by data. Organize shared behavior in a base class, including fetch retries, error recovery, and saved panel size and expansion state.
Create editable FigJam diagrams for workflows, system architecture, data relationships, and schedules. The skill selects a suitable diagram type and guides Mermaid, a text format for diagrams, while accounting for rendering limits.