Design & media
多模态产品图片相似度分析与分组。当用户提到产品图片相似度、视觉分组、查找外观相似的商品、基于图片去重、竞品同款检测、同款商品聚类、按外观分组、image similarity, product image comparison, visual clustering, same-style recognition, appearance deduplication, image grouping时触发此技能。即使用户未明确说"图片相似度"，只要其意图涉及商品主图对比、视觉聚类、识别视觉上相同或相似的商品，或根据外观、颜色、构图等视觉特征对商品列表进行后处理，也应触发此技能。
多模态产品图片相似度分析与分组。当用户提到产品图片相似度、视觉分组、查找外观相似的商品、基于图片去重、竞品同款检测、同款商品聚类、按外观分组、image similarity, product image comparison, visual clustering, same-style recognition, appearance deduplication, image grouping时触发此技能。即使用户未明确说"图片相似度"，只要其意图涉及商品主图对比、视觉聚类、识别视觉上相同或相似的商品，或根据外观、颜色、构图等视觉特征对商品列表进行后处理，也应触发此技能。
This skill guides you on how to analyze and group products by the visual similarity of their main images. It helps Amazon sellers identify same-style products, detect competitor lookalikes, and organize product lists into visually coherent clusters.
Product Image Similarity Analysis uses multimodal AI to compare the main images of products and automatically group them based on visual features such as appearance, color, composition, and material. It is a post-processing tool -- it operates on product data that has already been retrieved by a preceding step (e.g., product search, product recommendations).
Similarity threshold: The similarityThreshold parameter controls how visually close two products must be to land in the same group. It is an integer from 0 to 100 representing a percentage. A higher value means stricter matching (only near-identical images group together); a lower value means more lenient matching (broader visual clusters). The default is 60.
Single-brand group filtering: The includeSingleBrandGroups flag (default true) controls whether groups containing products from only one brand are included in the results. Setting it to false filters out single-brand groups, which is useful when the user wants to focus on cross-brand visual overlaps (e.g., competitor lookalike analysis).
This tool requires a products list from a preceding step. It cannot fetch product data on its own. The typical workflow is:
refResultData for visual similarity grouping.The input data must be a JSON object containing a products array.
| Parameter | Type | Required | Description |
|---|---|---|---|
| similarityThreshold | integer | No | Similarity threshold (0-100), default 60. Higher = stricter matching. |
| includeSingleBrandGroups | boolean | No | Whether to include groups with only one brand, default true. Set to false to focus on cross-brand similarity. |
| refResultData | string | No | JSON string of the preceding tool's result data containing the product list. |
| userInput | string | No | The original user query or instruction text. |
| Field | Type | Description |
|---|---|---|
| groups | array | List of similarity groups. Each group contains groupNumber, reason, brandCount, and an asins array of product details. |
| analysisInfo | object | Summary: totalProductsAnalyzed, totalGroupsFound, similarityThreshold, analysisTimestamp. |
| tables | array | Tabular result data, each element with data, columns, and name. |
| total | integer | Total number of result items. |
| title | string | Result title. |
| type | string | Rendering style hint. |
| costToken | integer | Total LLM tokens consumed (input + output). |
| Field | Type | Description |
|---|---|---|
| asin | string | Product ASIN |
| productId | string | Product ID |
| brand | string | Brand name |
| price | number | Price |
| rating | number | Rating score |
| ratings | integer | Number of ratings |
| monthlySalesUnits | integer | Monthly sales units |
| monthlySalesRevenue | number | Monthly sales revenue |
| monthlySalesUnitsGrowthRate | number | Monthly sales growth rate |
| imageUrl | string | Main image URL |
| productImageUrls | array | All product image URLs |
| imagePrompt | string | AI-generated image description |
| asinUrl | string | Product detail page URL |
| availableDate | string | Listing date |
| color | string | Color |
| material | string | Material |
POST /multimodal/analyzeProductSimilarity（完整参数/响应/错误码见 references/api.md）python scripts/multimodal_analyze_product_similarity.py '' [--inline]输出策略（脚本默认行为）：
/linkfox///data/linkfox-multimodal-product-similarity-.json（ 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）total/costToken、最大列表字段的长度 + 前 3 条样本）--inline 强制全量打印到 stdout（同样落盘）读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。1. Group search results by visual similarity (default threshold) After obtaining a product list from a search tool, pass the results to this tool to cluster visually similar items:
User: "Group these products by how similar they look."
Action: Call the API with refResultData set to the preceding product list JSON, using the default similarityThreshold of 60.
2. Find near-identical products (strict matching)
User: "Which of these products have almost the same main image?"
Action: Call the API with similarityThreshold set to 85 or higher for strict visual matching.
3. Cross-brand competitor lookalike detection
User: "Show me groups where different brands have similar-looking products."
Action: Call the API with includeSingleBrandGroups set to false to filter out single-brand clusters.
4. Broad visual clustering (lenient threshold)
User: "Roughly categorize these products by appearance."
Action: Call the API with similarityThreshold set to 40 for broad grouping.
5. Combined: strict similarity across brands
User: "Find products from different brands that look nearly identical."
Action: Call the API with similarityThreshold set to 80 and includeSingleBrandGroups set to false.
products array.Applicable -- Visual similarity analysis on product lists:
| User Says | Scenario |
|---|---|
| "Group these by how they look" | Visual clustering |
| "Find similar-looking products", "find lookalikes" | Similarity detection |
| "Which products look the same" | Image deduplication |
| "Show me competitor copycats" | Cross-brand lookalike analysis |
| "Cluster by appearance / color / style" | Visual categorization |
| "Are there duplicates in this list" | Image-based dedup |
| "Same-style products from different brands" | Cross-brand similarity |
Not applicable -- Needs beyond image similarity:
按动态规则计费：消耗积分 = sum(每个商品主图提示词生成调用的(输入消耗的积分 + 输出结果消耗的积分))。
重要：本技能的服务按倍数动态计算，可能一次性消耗大量积分，必须提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
利用多模态AI分析商品主图，提取视觉特征和提示词。当用户提到分析产品图片、从商品图中提取视觉属性、识别产品Listing中的颜色/形状/材质/风格、反推图片提示词、批量视觉特征提取、将产品图信息转化为结构化数据、视觉属性统计、基于图片的商品分类、main image analysis, image feature extraction, visual attribute recognition, product image analysis, image classification, batch image analysis时触发此技能。即使用户未明确提及"图片分析"，只要其需求涉及从商品主图或附图中提取结构化信息，也应触发此技能。
基于多模态AI的图片识别与分析。当用户想分析、描述、从图片URL中提取信息、image recognition, image analysis, image description, image content understanding, OCR text recognition, visual Q&A时触发此技能。当用户提到图片识别、图片分析、图片描述、识别图片内容、分析产品图、从图片中读取文字、描述图片、提取视觉内容或理解照片内容时触发。当用户提供图片URL并就其视觉内容提问时，即使未明确说"图片识别"，也应触发此技能。
基于图片的亚马逊跨站点视觉商品搜索，支持8个站点的以图搜图和视觉相似商品发现。当用户提到以图搜图、图片搜索、视觉搜索、找同款、外观相似商品、图片找货、竞品图片搜索、相似商品发现、image search, Amazon visual search, find similar products, reverse image lookup, visual search, similar items, competitor image search, product image match时触发此技能。即使用户未明确提及"图片搜索"，只要用户提供了图片URL并希望在亚马逊上查找匹配或相似的商品，也应触发此技能。
AI驱动的图片生成与编辑工具，用于制作高质量产品图。当用户要求生成图片、制作图片、编辑照片、文生图、图生图、换背景、变换风格、替换图片中的物体、将产品合成到场景中、换模特、制作任何类型的AI生成视觉内容、AI drawing, image generation, text-to-image, image-to-image, background replacement, style transfer, product image creation, AI image editing时触发此技能。即使用户未明确说"AI图片"，只要其请求涉及生成、修改或变换图片，也应触发此技能。
1688平台以图搜图，通过商品图片精准检索外观相似或同款的1688货源，返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by image时触发此技能。即使用户未明确提及"以图搜图"，只要用户提供了图片URL并希望在1688上查找匹配或相似的货源商品，也应触发此技能。
在中国1688批发平台（阿里巴巴国内B2B市场）上搜索和分析商品，用于找货源、供应商发现和选品。当用户提到1688商品搜索、1688找货源、在1688上找供应商、批发商品查询、工厂货源、一件代发供应商搜索、1688关键词选品、批发价格对比、按销量筛选、任何1688平台上的选品调研、1688 search, 1688 product selection, find suppliers, factory lookup, wholesale pricing, supplier search, domestic sourcing, 1688 products时触发此技能。即使用户未明确说"1688"，只要其需求涉及搜索批发商品、寻找国内供应商或从国内市场采购，也应触发此技能。