ai-amazon-brand-analytics

ai-amazon-brand-analytics Amazon Brand Analytics Assistant

Overview

The Amazon Brand Analytics Assistant is used to answer "what do brand data indicate," organize materials, clean data, and define 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, stores, or operational 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 deliver. Capability positioning supplement: the skills.sh hot signal shows that amazon-brand-analytics has user demand; the platform displays it as an ecommerce_retail business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

Users ask questions such as "what do brand data indicate" and need 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 Brand Analytics Assistant
Users have already prepared operational goals (explaining the click, conversion, repurchase, inventory, profit, review, or campaign goals they hope to optimize), target buyers (explaining target buyers, market, platform, channel, or use scenarios), and product or store links (filling in publicly accessible product, store, competitor, review, or platform page links), and hope to organize them into executable analysis or optimization results
Users need to turn Amazon Brand Analytics Assistant-related materials into clear conclusions, priorities, and next 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 use 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 tables, 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, non-committable content, or manual review focus points

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 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 alerts, operational action recommendations: organize core results that can be directly read, reviewed, or delivered around the user's goals.
Interpretation of input materials: combine the operational goals (explain the click-through, 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 (fill in publicly accessible product, store, competitor, review, or platform page links.) to extract key context and basis for judgment.
Next steps: provide priorities, execution suggestions, 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 the "Amazon Brand Analysis Assistant".
Then check whether the results cover product/store diagnosis, selling points and risk alerts, and operational action recommendations, and whether they provide clear next steps.
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