菜单
Find visually similar Amazon products from an image. Triggers: reverse image search, find lookalikes, who else sells this, source by image. Use for marketplace lookalikes, not patent similarity or design infringement checks.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | ecommerce.image-similarity-finder |
| version | 1.0.0 |
| description | Find visually similar Amazon products from an image. Triggers: reverse image search, find lookalikes, who else sells this, source by image. Use for marketplace lookalikes, not patent similarity or design infringement checks. |
| allowed-tools | ["Bash","Read","Write"] |
| metadata | {"requires":{"apis":["nexscope"]}} |
IMPORTANT — Working Directory: All scripts in this skill MUST be executed with the working directory set to the absolute path of the directory containing this SKILL.md file (the skill root directory). Always
cdinto this directory before running any command. Do NOT use relative paths or shell shortcuts like~in paths, as they may not be resolved by the execution environment.
Which Amazon products look visually similar to this image or product?
Before running this skill, if the user provides a product, image, ASIN, listing, product ID, or product idea, first identify:
Use this product understanding to choose parameters, filters, competitors, regions, keywords, or analysis dimensions before executing the script.
Are there similar products?
Find similar products on Amazon using image-based visual search.
| Source | Endpoint | Purpose |
|---|---|---|
| Amazon | /api/v1/tools/research/amazon/searchByImage | Visual product search |
| Keepa (optional) | via aggregateByKeepaData: true in searchByImage | Sales rank, monthly sales enrichment |
| Market | Domain | Currency |
|---|---|---|
| 🇺🇸 US | amazon.com | $ |
| 🇬🇧 UK | amazon.co.uk | £ |
| 🇩🇪 DE | amazon.de | € |
| 🇫🇷 FR | amazon.fr | € |
| 🇮🇹 IT | amazon.it | € |
| 🇪🇸 ES | amazon.es | € |
| 🇯🇵 JP | amazon.co.jp | ¥ |
| 🇮🇳 IN | amazon.in | ₹ |
--chart with an output directory unless the user asks for a quick text-only result or chart data is unavailable.ecommerce_chart_helpers.py which reads from chart_style.json (derived from references/display-rules.md). Do NOT hardcode colors in scripts.# Basic image search
python3 scripts/image_similarity_finder.py '{"image_url": "https://example.com/product.jpg"}'
# Specific market
python3 scripts/image_similarity_finder.py '{"image_url": "https://example.com/product.jpg", "market": "DE"}'
# With Keepa sales data
python3 scripts/image_similarity_finder.py '{"image_url": "https://example.com/product.jpg", "with_keepa": true}'
# Cross-market comparison
python3 scripts/image_similarity_finder.py '{"image_url": "https://example.com/product.jpg", "cross_market": true}'
# With charts
python3 scripts/image_similarity_finder.py '{"image_url": "https://example.com/product.jpg"}' --chart /tmp/charts
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
image_url | string | Yes | - | Publicly accessible image URL |
market | string | No | Target marketplace | |
sort | string | No | "default" | Sort order (see below) |
with_keepa | bool | No | false | Include sales data |
cross_market | bool | No | false | Search multiple markets |
| Value | Description |
|---|---|
default | Relevance |
price-asc-rank | Price: low to high |
price-desc-rank | Price: high to low |
rating-asc-rank | Rating: low to high |
rating-desc-rank | Rating: high to low |
ratings-asc-rank | Reviews: low to high |
ratings-desc-rank | Reviews: high to low |
The output will be a structured markdown report, following this format:
Product Image Similarity Analysis Report
1. Executive Summary
2. Similar Products Market Analysis
| Brand | Similar Product Count |
|---|---|
| [market_analysis.brand_distribution.brand1] | [market_analysis.brand_distribution.count1] |
| [market_analysis.brand_distribution.brand2] | [market_analysis.brand_distribution.count2] |
| [market_analysis.brand_distribution.brand3] | [market_analysis.brand_distribution.count3] |
| Price Segment | Product Count |
|---|---|
| Budget | [market_analysis.price_tiers.budget] |
| Mid-Range | [market_analysis.price_tiers.mid] |
| Premium | [market_analysis.price_tiers.premium] |
3. Opportunity Assessment
| Lower Price | Upper Price | Gap Percentage | Suggested Opportunity Price |
|---|---|---|---|
| [price_gaps[0].lower_price] | [price_gaps[0].upper_price] | [price_gaps[0].gap_percentage]% | [price_gaps[0].opportunity_price] |
4. Discovered Similar Products
| Rank | ASIN | Product Name | Brand | Price | Rating | Reviews | Monthly Sales |
|---|---|---|---|---|---|---|---|
| [similar_products[0].rank] | [similar_products[0].asin] | [similar_products[0].title] | [similar_products[0].brand] | [similar_products[0].price] | [similar_products[0].rating] | [similar_products[0].reviews] | [similar_products[0].monthly_sales] |
| ... | ... | ... | ... | ... | ... | ... | ... |
5. Actionable Recommendations
insights.recommendations]insights.recommendations]6. Attached Visualizations
| Level | Score | Meaning |
|---|---|---|
| 🟢 HIGH | 70-100 | Few competitors, quality gaps exist |
| 🟡 MODERATE | 50-70 | Viable with differentiation |
| 🟠 LOW | 30-50 | Challenging, strong differentiation needed |
| 🔴 VERY LOW | 0-30 | Difficult market |
| Factor | Impact | Trigger |
|---|---|---|
| Low competition | +20 | < 10 similar products |
| Quality gap | +15 | Avg rating < 4.0★ |
| Fragmented market | +10 | No dominant brand |
| High competition | -15 | > 50 similar products |
| Brand dominated | -10 | One brand > 50% share |
| Chart | Description | File |
|---|---|---|
| Price Comparison | Bar chart of similar product prices | 1_price_comparison.png |
| Rating vs Reviews | Scatter plot of quality vs popularity | 2_rating_reviews.png |
| Brand Distribution | Horizontal bar of brand shares | 3_brand_distribution.png |
| Opportunity Score | Gauge visualization | 4_opportunity_score.png |
🔍 Product Discovery
├── image-similarity-finder → Find similar products ← YOU ARE HERE
├── review-checker → Analyze reviews
├── differentiation-advisor → Strategy
└── listing-keyword-optimizer → Optimize listing
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_PROXY_BASE | Yes | NexScope proxy base URL |
NEXSCOPE_API_KEY | Yes | NexScope proxy API key |
references/api.md — NexScope Proxy API documentationCompare Amazon competitor business metrics: price, reviews, BSR, sales, seller count, traffic. Triggers: competitor metrics, who performs best, price/BSR/review comparison. Use for business performance, not listing copy; use competitor-listing-analyzer for content structure.
Analyze Amazon listing content and structure: title, bullets, images, A+ content, and listing quality. Triggers: listing breakdown, reverse-engineer listings, title/bullet/image analysis. Use for content audits, not business metrics; use competitor-analyzer for price/BSR/sales.
Validate whether demand is real by comparing search volume with sales and buying intent. Triggers: is demand real, fake demand, inflated volume, are people buying, conversion gap. Use for demand proof, not broad market overview or niche go/no-go scoring.
Check visual/design patent similarity from product images. Triggers: design infringement, look-alike patent, visual similarity, design clearance. Use for appearance/design risk, not utility claims or legal-status checks.
Suggest product differentiation and USP using competitor/review evidence. Triggers: how to stand out, USP, competitive advantage, product improvement. Use for positioning and feature strategy, not raw competitor metrics or review monitoring.
Find high-volume low-competition keyword gaps. Triggers: blue ocean keywords, low competition, opportunity keywords. Use for keyword gaps, not broad expansion; use keyword-research for expansion and reverse-lookup for ASIN keywords.