sku-trend-opportunity-report

sku-trend-opportunity-report Business Diagnosis Assistant

Overview

The Business Diagnosis Assistant is used to answer "how should this be done," e-commerce operations, product conversion, and user feedback, and is suitable for operations, marketing, sales, and product teams to call after clarifying business goals, content materials, or analysis targets. It will combine candidate SKUs, pasted candidate products, specifications, costs, selling prices, inventory, supply capability, or historical performance, and other inputs, organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

Users raise questions like "how should this be done" and need to quickly break down goals, identify priorities, and form executable results
Operations, marketing, sales, and product teams need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Business Diagnosis Assistant
Users have already prepared decision goals (decision goals), target markets (target markets), and trend signals (paste search terms, social media hot words, platform ranking summaries, customer inquiries, content highlights, or sales leads) and want to organize them into executable analysis or optimization results
Users need to turn Business Diagnosis Assistant-related materials into clear conclusions, priorities, and next-step actions

How to Call

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

Command Example

Basic Call

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

Call with Common Parameters

python3 scripts/run.py --params '{"decisionGoal":"找上新机会"}'

Parameter Description

Parameter	Type	Required	Default	Description
`decisionGoal`	string	No	`找上新机会`	Decision goals; optional values:`找上新机会`、`评估候选 SKU`、`确定测试优先级`、`判断是否淘汰`、`制定季度选品方向`
`marketRegion`	string	No	`中国大陆`	Target markets; optional values:`中国大陆`、`北美`、`欧洲`、`日本`、`韩国`、`东南亚`、`中东`、`拉美`、`全球通用`
`trendSignals`	string	No	-	Paste search terms, social media hot words, platform ranking summaries, customer inquiries, content highlights, or sales leads
`categoryFocus`	string	No	-	Fill in the target category, price range, supply chain advantages, target customer groups, or the consumer scenarios you want to enter
`selectionFile`	string	No	-	Supports candidate SKU tables, competitor tables, research documents, sales leads, or supply chain materials
`skuCandidates`	string	No	-	Paste candidate products, specifications, costs, selling prices, inventory, supply capability, or historical performance
`riskPreference`	string	No	`稳健测试`	Risk preference; optional values:`保守观察`、`稳健测试`、`积极上新`
`targetPlatform`	string	No	`通用电商`	Sales platform; optional values:`通用电商`、`淘宝/天猫`、`京东`、`拼多多`、`抖音电商`、`小红书店铺`、`独立站`、`亚马逊`、`TikTok Shop`
`competitorLinks`	string	No	-	Fill in public competitor links, or paste competitor prices, selling points, reviews, sales leads, and store observations

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

Parameter Value Reference

The current skill has no categorical parameters that require an additional lookup table.

Supported Input Formats

The current skill directly accepts JSON parameters and does not involve parsing shared links.

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 '{"decisionGoal":"找上新机会"}'

Equivalent --params JSON：

{
  "decisionGoal": "找上新机会"
}

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

Summary, diagnostic conclusions, action recommendations, and reusable deliverables: core results organized around the user's goals that can be directly read, reviewed, or delivered.
Input material interpretation: combine the decision goal (decision goal), target market (target market), and trend signals (paste search terms, social media hot words, platform ranking summaries, customer inquiries, content highlights, or sales leads) to extract key context and the basis for judgment.
Next steps: provide priorities, execution suggestions, or a content framework that can be further developed.

Suggestions for using the results

First determine whether the output answers the user's core questions about the "Business Diagnostic Assistant."
Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, 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 again.

Preparation before running

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