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Ecommerce Amazon Search By Image Agent Skill

Perform image-based visual product search on Amazon across 8 marketplaces. Use an image URL to find visually similar products, with optional Nexscope enrichment for sales data. Triggered when users mention Amazon image search, Amazon visual search, find similar products on Amazon, reverse image lookup Amazon, Amazon search by photo, or competitor 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 visually matching or similar products on Amazon.

1.9k tokens
context cost
SKILL.md, read when the skill is used
5
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
101
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexscope-ai/nexscope-ecommerce-skills --skill ecommerce.amazon-search-by-image

What comes with it

26 828 bytes besides the instruction
manifest.json
references/api.md
scripts/amazon_search_by_image.py
scripts/upload_image.py

The instruction itself

10 sections, as written by the author

This skill guides you on how to perform visual product searches on Amazon using an image URL, helping Amazon sellers and researchers find visually similar products across multiple marketplaces.

Core Concepts

Amazon Image-Based Search (visual search) allows you to submit a product image URL and retrieve Amazon listings that are visually similar. This is invaluable for competitive analysis, sourcing alternatives, identifying counterfeits, and discovering market opportunities based on product appearance.

The tool searches across 8 Amazon marketplaces and returns rich product data including ASIN, title, image, price, rating, review count, brand, and optionally Nexscope-enriched data (sales rank, monthly sales, FBA fees, dimensions, etc.).

Supported Marketplaces

| Marketplace | Domain | Default Zip Code |

|-------------|--------|-------------------|

| United States | amazon.com | 10001 |

| United Kingdom | amazon.co.uk | EC1A 1BB |

| Germany | amazon.de | 10115 |

| France | amazon.fr | 75001 |

| Italy | amazon.it | 00100 |

| Spain | amazon.es | 28001 |

| Japan | amazon.co.jp | 100-0001 |

| India | amazon.in | 110034 |

Default marketplace is amazon.com (US). Use amazon.com when the user does not specify a marketplace.

Parameter Guide

| Parameter | Required | Description |

|-----------|----------|-------------|

| imageUrl | Yes | A valid, publicly accessible image URL to search with |

| amazonDomain | Yes | Amazon marketplace domain (e.g., amazon.com, amazon.de). Defaults to amazon.com |

| sort | No | Sort order for results. Supported values: default, price-asc-rank, price-desc-rank, rating-asc-rank, rating-desc-rank, ratings-asc-rank, ratings-desc-rank |

| deliveryZip | No | Delivery address zip code within the marketplace country. Uses the marketplace default if not specified |

| countryOrAreaCode | No | Country/region code for cross-border delivery (e.g., CN, JP, KR). Cannot be used together with deliveryZip. Note: India marketplace does not support cross-border delivery |

| aggregateByKeepaData | No | Whether to enrich results with Nexscope data (sales rank, monthly sales, FBA fees, dimensions, etc.) |

Sort Options

| Value | Description |

|-------|-------------|

| default | Default relevance sorting |

| 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 | Review count: low to high |

| ratings-desc-rank | Review count: high to low |

Important: If the requested sort order is not in the supported list above, do NOT attempt to use any other tool or workaround to compensate. Inform the user of the supported sort options.

Usage

  • API Endpoint: POST /amazon/searchByImage (see references/api.md for full parameters, responses, and error codes)
  • Python Script: python scripts/amazon_search_by_image.py '<JSON parameters>'

Output strategy (script default behavior):

  • Prints the full JSON response to stdout

Data reading tip: Use jq or ConvertFrom-Json to extract specific fields from the response as needed.

Usage Examples

1. Basic image search on the US marketplace

Search Amazon US for products that look similar to this image:
https://m.media-amazon.com/images/I/61pAlIX8SZL._AC_SY575_.jpg

2. Find similar products on a specific marketplace

Search Amazon Germany (amazon.de) for products visually similar to this image:
https://example.com/product-photo.jpg

3. Image search sorted by price (low to high)

Find similar products on Amazon US for this image, sorted by price from low to high:
https://example.com/my-product.jpg

4. Image search with Nexscope data enrichment

Search Amazon US for products matching this image and include Keepa sales data:
https://example.com/competitor-product.jpg

5. Cross-border delivery search

Search Amazon Japan for similar products to this image, with delivery to China:
https://example.com/item.jpg

6. Competitor lookalike discovery

I found this product image on a competitor's listing. Find me all similar-looking products on Amazon UK:
https://example.com/competitor.jpg

Display Rules

  • Present data clearly: Show search results in a well-structured table. Key columns to prioritize: product image, title, ASIN, price, rating, review count, and brand
  • Image display: When the response includes imageUrl for products, display them inline so users can visually compare results
  • Price and currency: Always show price alongside the currency code (e.g., $29.99 USD)
  • Nexscope data: When aggregateByKeepaData is enabled and Nexscope fields are present, show supplementary data (monthly sales, sales rank, FBA fees) in an expanded section or additional columns
  • Result count: Always inform the user of the total number of results found
  • Error handling: When a query fails, explain the issue and suggest checking that the image URL is valid and publicly accessible
  • Sort limitation: If the user requests a sort order not in the supported list, clearly explain which sort options are available rather than attempting unsupported workarounds
  • No secondary processing: Results from this tool are not stored in a database, so secondary SQL processing is not available

User Expression & Scenario Quick Reference

Applicable -- Visual product search scenarios on Amazon:

| User Says | Scenario |

|-----------|----------|

| "Find similar products to this image" | Basic image search |

| "Search by image," "reverse image search on Amazon" | Visual search |

| "Find competitor lookalikes," "find same-style products" | Competitor analysis by appearance |

| "What products on Amazon look like this" | Product discovery |

| "Find cheaper alternatives that look the same" | Price-based visual comparison |

| "Search Amazon JP/DE/UK for this product image" | Cross-marketplace visual search |

| "Show me Nexscope data for similar products" | Enriched visual search |

| "Find products similar to this photo, sorted by rating" | Sorted visual search |

Not applicable -- Needs beyond image-based product search:

  • Text-based keyword search on Amazon (use keyword search tools instead)
  • ABA search term data analysis
  • Product review analysis or listing optimization
  • Sales estimation without a source image
  • Image editing or image generation

Boundary judgment: When users say "find similar products" or "competitor analysis," if they provide an image URL and the intent is to find visually similar Amazon listings, this skill applies. If they are asking for keyword-based search, sales data analysis, or product research without an image, it does not apply.

Authentication

Set NEXSCOPE_API_KEY. Visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to manage credits.

How to use it

Copy the folder

Take nexscope-ai/ecommerce.amazon-search-by-image from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.