'data loading' 검색 결과

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.

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• Build candlestick charts with a separate volume pane
• Add live updates and historical data
• Fix v4-to-v5 API migration 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.

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• Training a model that exceeds one GPU's memory
• Adding FSDP2 to an existing training script
• Configuring mixed precision and CPU offloading

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.

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• Building a news panel with thumbnails
• Adding badges colored by data source
• Preserving panel size and expansion state

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.

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• Adding stock or calendar panels to a dashboard
• Escaping external API text before HTML insertion
• Adding loading, error, and retry states

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.

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• Add a stock price panel to a dashboard
• Show loading indicators and retry buttons on failure
• Standardize titles and item counts across panels

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.

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• Restoring panel sizes and expanded or collapsed states
• Adding automatic retries when data fetching fails
• Standardizing loading and error displays across panels

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Visualizing a workflow or decision tree
• Mapping services and data stores
• Showing API interactions over time

Integrate charts and architecture diagrams into React or Next.js apps. Plan which parts run in the browser, separate rendering from application state, and address loading performance, mobile layouts, accessibility, and shareable views.

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• Integrating D3 charts into React components
• Choosing browser or server rendering in Next.js
• Sharing chart filters and selections through URLs

Apply Vercel Engineering’s performance guidelines when writing, reviewing, or refactoring React and Next.js code. Prioritize improvements to data fetching, downloaded code size, server processing, and unnecessary rendering using rules with explanations and code examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review React components for performance issues
• Improve data fetching in Next.js pages
• Reduce downloaded code and loading time

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Visualizing a workflow or decision tree
• Mapping services and data stores
• Showing API interactions over time

Collect channel information and video details from a YouTube channel through BrowserAct API. Choose latest, popular, or earliest videos and receive structured metrics, including views, publication dates, and subscriber counts, for content research and reporting.

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• Track competing channels and their posting frequency
• Compare views and reactions on popular videos
• Review a creator's earliest videos

Guide a new entity, customer, or account through setup in TRES Finance. The skill coordinates wallet uploads, data collection, balance checks, reconciliation, cost basis calculation, contact imports, and transaction aggregation, with options to pause or skip steps.

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• Set up a new company or customer in TRES Finance
• Check balances and resolve gaps after uploading wallets
• Pause setup while identifying external wallet addresses

Upload model weights to Hugging Face Hub with an OpenMDW 1.1 license and a required research warning. Check the published README and license file after uploading or updating to confirm that the required information is present.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing model weights to Hugging Face Hub
• Checking documentation after a model update
• Adding OpenMDW 1.1 license files and metadata

Forecast sales, sensor readings, and other single-variable time series with Google's TimesFM, without training a custom model. Accept CSV files, DataFrames, or arrays and obtain forecast values with prediction intervals that express uncertainty.

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• Forecast monthly sales from a CSV file
• Forecast demand across multiple stores
• Plot sensor forecasts with prediction intervals

Supports pathology image analysis in Python, from loading whole-slide images to normalizing stain colors, identifying cell nuclei, mapping spatial relationships, and training machine learning models. It also covers multiplex imaging and marker measurements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preprocessing stained tissue images
• Detecting and segmenting cell nuclei
• Analyzing spatial relationships between cells

Write, review, and migrate DALI data processing code using dynamic mode, which calls operators directly from ordinary Python. Handle readers, batches, GPU processing, PyTorch conversion, random state, and checkpoints with the conventions specific to this API.

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• Writing image preprocessing in ordinary Python loops
• Migrating a DALI pipeline to dynamic mode
• Reviewing batch slicing and PyTorch conversion

Calibrate multiple cameras from recorded MP4 files through the AutoMagicCalib REST API. The skill handles project creation, uploads, input verification, progress checks, and evaluation when reference data is supplied, with optional VGGT refinement.

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• Calibrating cameras from synchronized MP4 recordings
• Uploading local settings and alignment files
• Evaluating calibration against ground-truth data

Design data-driven Godot 4.7 games with custom Resource classes: define typed data with class_name + @export, save/load .tres/.res files, instance and duplicate resources, and load on demand with ResourceLoader (incl. threaded loading). Use when modeling items/stats/configs as data in a Godot project, creating .tres resources, or working with custom Resource subclasses and ResourceLoader/ResourceSaver.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, CLS prevention, image SERP rankings (via DataForSEO), and image file optimization (WebP/AVIF conversion, IPTC/XMP metadata injection). Use when user says "image optimization", "alt text", "image SEO", "image size", "image audit", "optimize images", "image metadata", "image SERP", "convert to webp", or "image file optimize".

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Produce and interpret PCA, t-SNE, UMAP, and PHATE plots for high-dimensional omics data with rigor about which method preserves what (variance, local structure, manifold, transitions), hyperparameter sensitivity, and the well-documented limits of 2D embeddings. Covers PCA biplot/scree/loadings, t-SNE PCA initialization (Kobak-Berens 2019), UMAP n_neighbors/min_dist trade-offs, and the Chari-Pachter 2023 critique. Use when visualizing high-dimensional data — bulk PCA, single-cell embeddings, multi-omics integration projections.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build, review, or improve networking code in iOS/macOS apps using URLSession with async/await, structured concurrency, and modern Swift patterns. Use when working with REST APIs, downloading files, uploading data, WebSocket connections, pagination, retry logic, request middleware, caching, background transfers, or network reachability monitoring. Also use when handling HTTP requests, API clients, network error handling, or data fetching in Swift apps.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The cellxgene data portal (https://cellxgene.cziscience.com/) provides a graphical user interface to collections of single-cell sequence data processed in standard ways to 'count matrix' summaries. The cellxgenedp package provides an alternative, R-based inteface, allowind data discovery, viewing, and downloading.

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Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

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Production-readiness pass — audits and implements the full non-happy-path matrix: loading skeletons, empty states, error messages, partial data, i18n, offline, permissions, and first-run guidance. Use when preparing a surface for production or when the user says "it crashes on empty data" / "there's no loading state" / "harden this". Invoke when the user asks for harden on their UI, or mentions 'harden' alongside design / UI / frontend work.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.