“image”的搜索结果

Perform image-based product search on the 1688 platform. Use an image URL to find visually similar supplier products, returning title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity. Triggered when users mention 1688 image search, 1688 visual search, find supplier by image, reverse image search 1688, 1688 product sourcing by image, or Alibaba 1688 image search. Even if the user does not explicitly mention "image search," this skill should be triggered whenever a user provides an image URL and wants to find matching or similar products on the 1688 wholesale platform.

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OpenStack Glance image service skill for deploying, configuring, operating, and troubleshooting the VM image registry. Covers image upload/download, format management (qcow2, raw, vmdk, vhd, iso), backend storage selection (file, swift, ceph), image import methods (web-download, glance-direct, copy-image), metadata management, property protections, image sharing between projects, snapshot lifecycle, image caching, and storage usage monitoring. Use when deploying Glance via Kolla-Ansible, managing VM images, converting image formats, or troubleshooting image upload failures.

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OpenAI GPT Image generation and editing (gpt-image-2, 1.5, 1, mini). Text-to-image, mask-based inpainting, multi-reference composition, multi-turn conversational editing via Responses API, streaming with partial images. This skill should be used when generating or editing images via OpenAI's image models, when near-perfect text rendering in images is needed, when mask-based region-aware editing is required, when multi-turn conversational image editing is desired, or when streaming progressive image delivery is needed. Complements nano-banana-pro (Gemini) as a parallel image generation backend.

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Generate and edit high-quality images using Google's Nano Banana Pro (Gemini 3 Pro Image) AI model. Use this skill when working with AI image generation or editing tasks including (1) Creating images from text prompts with professional quality, (2) Editing existing images with natural language instructions, (3) Multi-turn iterative image refinement, (4) Product photography and marketing visuals, (5) Creating infographics and diagrams with text, (6) Photorealistic and artistic image generation, (7) Batch image generation workflows, (8) Testing and troubleshooting Gemini image generation API. Supports up to 4K resolution, multiple aspect ratios, reference images, and advanced prompting techniques for cinema-quality results.

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Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats (WebP, AVIF), responsive images, lazy loading, CLS prevention, and Core Web Vitals image impact. Use when user says "image optimization", "alt text", "image SEO", "image size", "image audit", "WebP", "AVIF", "lazy loading", "CLS", "responsive images", or "Core Web Vitals images".

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Optimize web images for performance with Next.js Image, responsive srcset, AVIF/WebP, lazy loading, and blur placeholders. Activate on: image optimization, LCP improvement, responsive images, AVIF, blur placeholder, next/image. NOT for: image generation/editing (use image-gen skills), SVG icon systems (use design-system-creator).

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Generate or edit images using the OpenAI Image API (gpt-image-2). Use when the user asks to generate, create, draw, render, illustrate, mock up, or edit an image, icon, logo, mockup, illustration, OG image, blog hero, marketing asset, or similar visual. Also use when the user supplies a reference image and asks to modify, restyle, or remix it. Triggers on: "generate an image", "create an image", "make a picture of", "edit this image", "restyle this", "make a mockup of", "draw a", "render a", "illustration of".

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OpenAI API (developers.openai.com) の画像生成・画像入力リファレンス。 GPT Image 2.5 (`gpt-image-2.5-sunburst` / `flare`), Images API `images.generate` / `images.edit`, mask, reference images, quality xhigh / max, image prompting, image_generation tool (Responses API), vision (画像入力, detail, image tokens, cost calculator, vision fine-tuning)。 Sora 2 / Videos API は 2026-09-24 終了 (履歴のみ)。

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Requires OFOX_API_KEY — create one at https://app.ofox.ai. Produce a set of product images to choose between — several styles, backgrounds or treatments of one product, for a listing, a store page or an ad — and quote the whole set's cost before any of it is spent. From a real product photo it edits that photo once per style, so the item stays identical across the set; for a fictional or prototype product with no photo it generates from text instead, and says what that costs in accuracy. Delegates to ofox-image-core. Use when a user asks for several product images at once, e.g. "give me 4 main images in different styles for this product", "a few background options for this photo", "some listing images for my shop", or "show this product on white, on wood, and in a lifestyle scene". Do not use for a single change to a single image (see image-edit), for video from a product photo (see seedance-product-video), or for one plain text-to-image render (that is ofox-image-core's `generate`).

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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。

• 根据文字制作缩略图和商品图
• 改变现有图片的画风
• 将静态图片转为视频

无需准备额外训练数据，即可用文字标签对图片分类，或按内容描述搜索图片。还支持比较图片与文字的相似度、批量处理，以及将数值表示存入向量数据库。

• 用文字标签对照片分类
• 按内容描述搜索图片
• 比较图片与说明文字的对应程度

用于通过Venice.ai API生成图像和查询可用风格，帮助智能体在规划图像制作任务时找到相关生成功能，并了解可选择的风格。

• 通过Venice.ai API生成图像
• 查询可用的图像风格
• 与智能体规划图像生成任务

将人物、风景和商品构想整理成包含画风、构图、光线与颜色的指令，并通过 Python 脚本生成图片。支持多张参考图引导外观与构图，也可指定宽高比。

• 按服装、年代和外观生成人物图片
• 按氛围、天气和光线生成风景
• 按材质和拍摄角度生成商品图片

Review website images for high-density displays, where standard assets can look blurry. Check higher-resolution versions, HTML and CSS image selection, delivery settings, and loading behavior, then identify specific files or components that need changes.

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• Investigating blurry images on high-density displays
• Reviewing srcset for fixed-size and responsive images
• Checking high-resolution CSS background images

Audit web images that are larger than their displayed size and help serve suitable versions for different screens. Review image dimensions, responsive image settings, and Lighthouse findings, then provide updated HTML and steps to verify the changes.

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• Finding oversized images on mobile pages
• Reviewing srcset and sizes against the actual layout
• Adding image variants for different screen widths

Audit website images and guide conversion to WebP and AVIF, formats that reduce image transfer size. Identify affected files, add fallback images, and review dimensions and loading behavior alongside the impact on initially visible content.

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• Finding JPEG and PNG images to convert
• Adding WebP and AVIF sources with fallback images
• Reviewing CSS background image formats

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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• Auditing image sizes and formats on slow-loading pages
• Serving suitable image sizes for mobile and desktop screens
• Preventing layout shifts while images load

Review website images and reduce file sizes while limiting visible quality changes. Check compression, formats, display dimensions, loading behavior, and delivery settings, then recommend suitable tools or build automation and verification in browser DevTools.

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• Find oversized images on web pages
• Choose compression methods for photos and graphics
• Automate image compression during builds

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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• Adding fallback images for broken image links
• Reviewing placeholders shown while images load
• Investigating image loading failures with logs and DevTools

Create and edit bitmap images, such as photos, illustrations, product mockups, and game assets. Use reference images for visual variations, replace backgrounds, remove objects, or make transparent cutouts while preserving specified parts of an existing image.

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• Create photos or illustrations for a website
• Replace a product photo background or remove unwanted objects
• Make transparent cutouts

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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• Adding image descriptions to a Java application
• Extracting text from document images
• Detecting objects and people with their locations

Add GraalVM Native Image support to Java applications to build native executables. The skill adapts Maven or Gradle configuration, fixes build errors iteratively, and checks application behavior, startup time, and memory use.

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• Adding native executable builds to a Java application
• Configuring native builds for Maven or Gradle
• Fixing reflection and resource errors in native builds

Generate or modify images through the Luma AI API using Photon models. The skill gathers image descriptions and options, supports reference images for visual guidance, and uses a bundled Python script to wait for completion and download results.

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• Creating a landscape image for a website
• Generating square product images
• Guiding image style or composition with a reference

Turn written content into a series of one to ten illustrated image cards for social media. Choose from twelve visual styles, eight layouts, and three optional palettes, with content analysis and outline planning before image generation.

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• Turning an article into social media image cards
• Creating illustrated step-by-step tutorials
• Presenting product comparisons as image cards