ai-amazon-product-bundling

ai-amazon-product-bundling Amazon Bundling Sales Assistant

Quick Start

More Skills

Overview

The Amazon Bundling Sales Assistant is used to answer "how to bundle for better sales," organize materials, clean data, and define action items. It is suitable for operations, product, sales, and software to use 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 goals, or channel requirements, organizes key context, and outputs product/store diagnostics, selling points and risk alerts, and operational action recommendations for continued execution, review, or delivery. Capability positioning supplement: the skills.sh hot signal shows that amazon-product-bundling has user demand; the platform presents it as an ecommerce_retail business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

• The user raises questions such as "how to bundle for better sales" 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 Bundling Sales Assistant.
• The user has already prepared operational goals (explaining the click, conversion, repurchase, inventory, profit, review, or campaign goals they hope to optimize.), target buyers (explaining the target buyers, market, platform, channel, or usage scenario.), and product or store links (providing publicly accessible product, store, competitor, review, or platform page links.), and hopes to organize them into executable analysis or optimization results.
• The user needs to turn materials related to the Amazon Bundling Sales 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 hope to optimize.
audience	string	No	-	Explain the target buyers, market, platform, channel, or usage scenario.
materialUrl	string	No	-	Provide publicly accessible product, store, competitor, review, or platform page links; a complete accessible URL must be passed.
materialFile	string	No	-	Upload product materials, review sheets, competitor screenshots, operational data, store plans, or material files.
materialText	string	No	-	Paste product information, store pages, review materials, competitor information, sales goals, or channel requirements.
brandRequirements	string	No	-	Add 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 category parameters that require additional table lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters include 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 warnings, operational action recommendations: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the operational goal (explain the desired click-through, conversion, repurchase, inventory, profit, review, or campaign goal.), target buyer (explain the target buyer, market, platform, channel, or use case.), product or store link (provide a publicly accessible product, store, competitor, review, or platform page link.) 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 question about "Amazon Bundle Sales Assistant".
• Then check whether the results cover product/store diagnosis, selling points and risk warnings, 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