ai-amazon-listing-images

ai-amazon-listing-images Amazon Image Diagnosis Assistant

Quick Start

More Skills

Overview

The Amazon Image Diagnosis Assistant is used to answer "Can the main image make people buy?", organize materials, clean data, and identify action items. It is suitable for operations, product, sales, and software to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as products, stores or operational materials, pasted product information, store pages, review materials, competitor information, sales goals, or channel requirements, organizes key context, and outputs product/store diagnosis, selling points and risk alerts, and operational action recommendations, making it easy to continue execution, review, or delivery. Capability positioning supplement: the skills.sh hot signal shows that amazon-listing-images has user demand; the platform displays it as an ecommerce_retail business assistant directory, outputting reviewable diagnosis, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

• The user asks questions like "Can the main image make people buy?" and needs to quickly break down goals, determine priorities, and form actionable results
• Operations, product, sales, and software need to generate product/store diagnosis, selling points and risk alerts, and operational action recommendations around the Amazon Image Diagnosis Assistant
• The user has already prepared operational goals (explain the click, conversion, repurchase, inventory, profit, review, or campaign goals they hope to optimize.), target buyers (explain the target buyers, market, platform, channel, or use scenario.), and product or store links (fill in publicly accessible product, store, competitor, review, or platform page links.), and hopes to organize them into actionable analysis or optimization results
• The user needs to turn materials related to the Amazon Image Diagnosis Assistant into clear conclusions, priorities, and next-step actions

How to Call

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Call

python3 scripts/run.py --params '{}'

Call with Common Parameters

python3 scripts/run.py --params '{"goal":"运营目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the click, conversion, repurchase, inventory, profit, review, or campaign goals you hope to optimize
audience	string	No	-	Explain the target buyers, market, platform, channel, or use scenario
materialUrl	string	No	-	Fill in publicly accessible product, store, competitor, review, or platform page links; a complete accessible URL is required
materialFile	string	No	-	Upload product materials, review tables, competitor screenshots, operational data, store plans, or asset files
materialText	string	No	-	Paste product information, store pages, review materials, competitor information, sales goals, or channel requirements
brandRequirements	string	No	-	Supplement platform rules, price boundaries, inventory constraints, brand restrictions, uncommittable content, or key points for manual review

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters that require additional table lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters contain a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"运营目标"}'

Equivalent --params JSON：

{
  "goal": "运营目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

• Product/store diagnosis, selling points and risk alerts, operational action recommendations: organize core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the operational goals (state the click, conversion, repurchase, inventory, profit, review, or campaign goals you want to optimize.), target buyers (state the target buyers, market, platform, channel, or usage scenario.), product or store links (provide publicly accessible links to products, stores, competitors, reviews, or platform pages.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can be further processed.

Suggestions for using the results

• First determine whether the output answers the user's core question about "Amazon Image Diagnosis Assistant".
• Then check whether the results cover product/store diagnosis, selling points and risk alerts, operational action recommendations, and whether clear next steps are provided.
• If the input materials are limited, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default