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Review image loading settings based on where images appear on a page. Identify offscreen images that should load later, keep important visible images loading promptly, and add image dimensions to reduce layout shifts.
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Check whether images visible when a page first opens are unnecessarily lazy loaded, meaning their loading is deferred. Verify rendering delays with performance measurements, then guide changes to loading attributes and request priority.
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Audit page loading and defer offscreen images, videos, iframes, and heavy components until needed. Use measurements and page context to identify suitable changes while keeping images needed for the initial view loaded with priority.
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Inspect web font loading to identify invisible text, rendering delays, and layout shifts. Use measured evidence to guide fallback text display, preloading of important fonts, and the use of compressed formats such as WOFF2.
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Review images needed when a page first opens, checking file size, display dimensions, and loading priority. Identify changes to preload settings and lazy loading that help the main visual content appear sooner.
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Investigate attacks that make legitimate Windows applications load malicious DLL files. This skill examines loading events, digital signatures, file hashes, and unusual locations, then checks process behavior to document suspicious cases and guide remediation.
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Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
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Review and implement loading feedback for operations such as fetching content or submitting actions. Use skeleton placeholders, spinners, and accessible status updates to communicate progress, while checking for layout shifts and measuring actual performance bottlenecks.
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Review website images for file format, size, dimensions, and loading behavior. Produce improved HTML with image variants for different screen sizes, suitable compression, and deferred loading where appropriate, while addressing loading speed and layout shifts.
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Build asset loading for Three.js scenes, including 3D models, textures, and HDR images for backgrounds and reflections. Coordinate multiple files, track loading progress, reuse cached assets, and handle failures with retries or fallback files.
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Improve Astro site loading with critical CSS, the styles needed for the first screen, plus file compression, font loading adjustments, main image preloading, and deferred third-party scripts. Includes integration settings and a layout example.
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Improve website loading and responsiveness by optimizing images, fonts, scripts, and caching. Identify priorities, reduce JavaScript download size, split code into smaller loads, and verify changes through a structured performance improvement workflow.
中文简介正在准备中。当前显示英语简介。
Review how a website behaves when images fail to load and add fallback images or meaningful placeholder content. Check loading behavior, consider loading placeholders, and use error logging and browser developer tools to investigate and verify fixes.
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Download videos, audio, and subtitles from YouTube and other supported sites using yt-dlp. Choose resolution and output filenames, extract MP3 audio, or inspect titles, durations, and other video details without downloading the media.
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Get guidance on distributed training with PyTorch FSDP, which splits model parameters across devices. The skill covers implementation, mixed precision, moving data to CPU memory, communication setup, and debugging distributed training code.
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Build Next.js 14+ applications with App Router, server-rendered components, and form actions. Produces routes, page layouts, data fetching, loading and error states, and SEO metadata, while supporting performance optimization and deployment preparation.
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Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS impact) and Loading (priority hints, resource preloading). Provides performance budgets and format recommendations based on content type. Use when the user asks about image optimization, LCP is an image/video, layout shifts from media, or media loading strategy. Compatible with Chrome DevTools MCP.
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Expert blueprint for scene loading, transitions, async (background) loading, instance management, and caching. Covers fade transitions, loading screens, dynamic spawning, and scene persistence. Use when implementing level changes OR dynamic content loading. Keywords scene, loading, transition, async, ResourceLoader, change_scene, preload, PackedScene, fade.
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Expert blueprint for scene loading, transitions, async (background) loading, instance management, and caching. Covers fade transitions, loading screens, dynamic spawning, and scene persistence. Use when implementing level changes OR dynamic content loading. Keywords scene, loading, transition, async, ResourceLoader, change_scene, preload, PackedScene, fade.
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Agent fallback for CDemoPlayer_SetIgnorePacketsForResourceLoading (auto-generated, category: vfunc). Locate CDemoPlayer::SetIgnorePacketsForResourceLoading in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CDemoPlayer_SetIgnorePacketsForResourceLoading, CDemoPlayer::SetIgnorePacketsForResourceLoading
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When the user wants to pack 3D boxes into containers, optimize 3D space utilization, or solve container loading problems. Also use when the user mentions "3D packing," "container packing," "box packing," "3D bin packing problem," "cube packing," "three-dimensional packing," "cargo loading," or "space optimization." For pallet-specific loading, see pallet-loading. For container logistics, see container-loading-optimization.
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帮助编写和检查PyTorch模型与训练代码，涵盖数据加载、实验可复现性、训练状态保存与恢复，并提供改善GPU显存占用和运行速度的方法。
Review slow page loads and choose resource hints, browser instructions that start loading or connecting earlier. Use measurements to identify bottlenecks, then recommend preload, preconnect, prefetch, or dns-prefetch for important assets and likely next-page resources.
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Audit website images for excessive file sizes, unnecessary metadata, and loading issues. Apply format-specific compression and cleanup, then compare file sizes before and after changes to show the resulting reduction in image data.
中文简介正在准备中。当前显示英语简介。