ai-amazon-inventory-management

ai-amazon-inventory-management Amazon Inventory Diagnostic Assistant

Quick Start

More Skills

Overview

The Amazon Inventory Diagnostic Assistant is used to answer "will inventory drag down profit", organize materials, clean data, and produce action items. It is suitable for operations, product, sales, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as products, store or operations materials, pasted product information, store pages, review materials, competitor information, sales targets, or channel requirements, organizes key context, and outputs product/store diagnostics, 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-inventory-management has user demand; the platform displays it as an ecommerce_retail business assistant directory, outputting reviewable diagnostics, recommendations, or production readiness packages.

When to Use

Applicable Scenarios

• The user raises questions such as "will inventory drag down profit" and needs to quickly break down goals, determine priorities, and form executable results
• Operations, product, sales, and software need to generate product/store diagnostics, selling points and risk alerts, and operational action recommendations around the Amazon Inventory Diagnostic Assistant
• The user has already prepared operational goals (explaining the click, conversion, repurchase, inventory, profit, review, or campaign goals they want to optimize.), target buyers (explaining target buyers, market, platform, channel, or usage scenarios.), and product or store links (filling in publicly accessible product, store, competitor, review, or platform page links.), and wants to organize them into executable analysis or optimization results
• The user needs to turn materials related to the Amazon Inventory Diagnostic Assistant into clear conclusions, priorities, and next-step actions

How to Invoke

Directly call the AI Skills API through the exported Python runner:

Command Examples

Basic Invocation

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

Invocation 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 want to optimize
audience	string	No	-	Explain the target buyers, market, platform, channel, or usage scenarios
materialUrl	string	No	-	Fill in publicly accessible product, store, competitor, review, or platform page links; a complete accessible URL must be provided
materialFile	string	No	-	Upload product materials, review sheets, competitor screenshots, operational data, store plans, or asset files
materialText	string	No	-	Paste product information, store pages, review materials, competitor information, sales targets, or channel requirements
brandRequirements	string	No	-	Supplement platform rules, price boundaries, inventory constraints, brand restrictions, content that cannot be promised, or key points for manual review

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

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

Supported Input Formats

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

Example request

The following example parameters 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 response

{
  "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 (explain the click, conversion, repurchase, inventory, profit, review, or campaign goals you want to optimize.), target buyers (explain 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 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 questions about the "Amazon Inventory Diagnostic 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 there is little input material, 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