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Resize images, convert formats, create thumbnails, and inspect dimensions and metadata with ImageMagick. Process individual files or batches, selecting images by size or file type and preserving their proportions when resizing.
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Create images for Kortix blog headers, social posts, thumbnails, and other placements using its brand guidance. The workflow covers dimensions, image generation, logo and text compositing, and PNG export, with optimized WebP files for web use.
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Add thumbnails, colored badges, and data-driven styling to TypeScript lists, cards, and panels. Coordinate component logic with CSS, include fallbacks for missing data, and check how the updated display handles empty lists and long text.
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Capture a public webpage through Latchshot and save a local PNG, JPEG, or PDF. Use viewport images, full-page screenshots, or website thumbnails for reports, visual checks, archives, and social previews.
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Review YouTube titles, thumbnails, openings, and pacing through a framework drawn from MrBeast’s public statements and other research. Use click-through rates and viewing data to identify weaknesses and develop specific changes to a video’s presentation and structure.
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Download YouTube captions and thumbnails from a URL or video ID. Save transcripts as Markdown or SRT subtitle files, select or translate languages, add chapters, and use AI processing to label speakers.
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Turn visual requests into detailed image prompts for social posts, blog headers, thumbnails, and illustrations. Receive generated images when available, or ready-to-use prompts, with variations in composition, color, or style.
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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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Collect structured Google Images search results through the BrowserAct API. Set keywords, country, language, scrolling, and result limits to obtain titles, thumbnail URLs, source names, source logos, and destination links for visual research.
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Use for VidSeeds MCP thumbnail workflows - generate, poll jobs, edit, restyle, Thumbnail Studio (trends, briefs, subjects, overlay text), apply to a project, publish to YouTube, or thumbnails from a local video file via vidseeds-local.
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Use when creating or revising finished video thumbnails or cover images with Scenario: game trailers, boss reveals, patch updates, devlogs, or community videos needing readable composition, exact headline text and consistent characters. Not for title ideas or critique alone, in-video title cards, or a generic image without a thumbnail deliverable.
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Downsamples, resizes, and compresses images using Volcengine LAS with multiple interpolation methods (lanczos, bilinear, nearest). Image resizing, image scaling, and image compression — reduces image resolution, dimensions, and file size. Changes and adjusts DPI settings. Converts between image formats including JPEG, PNG, TIFF. Generates thumbnails and optimizes images for web or print. Supports batch resize for photos and images up to 100MB and 225 megapixels. Note: downscale only, does not upscale. Use this skill when the user wants to resize or downscale images, compress images to reduce file size, change image format (JPEG/PNG/TIFF), adjust image DPI, generate image thumbnails, optimize images for web/print, or batch process multiple images.
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Video/audio/image processing with FFmpeg and ImageMagick. Tools: FFmpeg (video/audio), ImageMagick (images). Capabilities: format conversion, encoding (H.264/H.265/VP9/AV1), streaming (HLS/DASH), filters, effects, thumbnails, watermarks, batch processing, hardware acceleration (NVENC/QSV). Actions: convert, encode, resize, crop, compress, extract, merge, stream, transcode media. Keywords: FFmpeg, ImageMagick, video encoding, audio extraction, image resize, thumbnail, watermark, HLS, DASH, H.264, H.265, VP9, AV1, codec, bitrate, framerate, resolution, aspect ratio, filter, overlay, concat, trim, fade, batch processing. Use when: converting video/audio formats, encoding with specific codecs, generating thumbnails, creating streaming manifests, extracting audio from video, batch processing images, adding watermarks, optimizing file sizes.
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Download, transcribe, analyze, and clip video content — vertical shorts, captions, thumbnails
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Generate or replace OneQuery blog thumbnail images and article diagram images for apps/landing. Use when Codex needs to create blog list thumbnails, social share thumbnails, in-article architecture diagrams, update blog imageSrc references, follow the OneQuery diagram design system, or use the bundled assets/diagram-design-system.png visual reference.
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Transform, resize, crop, reformat, and optimize images on demand via Netlify Image CDN's /.netlify/images endpoint. Use when adding responsive images, generating thumbnails, converting formats (avif/webp/png), cropping to aspect ratios, tuning image quality, creating blurred placeholders, allowlisting remote image domains, serving user-uploaded images, or wiring framework image components (Next.js, Astro, Nuxt, Angular, Gatsby) to Netlify. Triggers on tasks like "optimize images", "add image thumbnails", "resize images on the fly", "serve images from an external domain", or "add blur placeholders".
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通过MCP连接fal.ai，从文字或图片生成图像和视频，也可生成朗读语音及匹配视频的声音，涵盖模型查找、输入设置检查、费用估算和生成状态查询。
Find live webcams within a chosen map area around a port, airport, border crossing, city, or route. Retrieve a selected camera's thumbnail and player links, along with its update time, for visual context near a location.
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Manage Cloudinary images, videos, and files with natural language requests. Organize folders, configure upload rules, inspect assets, generate transformed versions, and check storage and bandwidth usage through Rube MCP and Composio.
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Audit website image file sizes against guidelines for photos, graphics, hero images, and thumbnails. Report oversized assets with target sizes, distinguish compression issues from dimension mismatches, and guide format conversion and delivery of smaller variants to mobile devices.
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Build Python image analysis with Azure AI Vision to generate captions and tags, locate objects and people, and extract text using OCR, or optical character recognition. It also provides suggested crop regions.
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Build Java applications that analyze images with Azure AI Vision. Covers image descriptions, OCR for reading text, object and person detection, content tags, and suggested crop regions, with examples for authentication and handling results.
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Investigate hidden data in CTF images, audio, video, and documents. Examine file structure and candidate hiding channels, then extract and reconstruct the payload while preserving intermediate files and reproducible steps.
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Turn Figma designs into React and TypeScript components using coderio. The workflow uses design thumbnails to guide layout, extracts component structure and data, and generates code and assets for integration into an application.
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