ai-ecommerce-search

ai-ecommerce-search E-commerce Search Diagnostic Assistant

Overview

The E-commerce Search Diagnostic Assistant is used to answer "is on-site search good to use," 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, store or operations materials, pasted product information, store pages, review materials, competitor information, sales goals, or channel requirements, organizes key context, and outputs operations diagnostics, product/traffic optimization suggestions, and execution checklists, making it easy to continue execution, review, or deliver. Capability positioning supplement: search for products on JD/Taobao/Tmall/Douyin Mall and obtain top-k results (name, price, link, sales volume)

When to Use

Applicable Scenarios

When users raise questions such as "is on-site search good to use," need to quickly break down goals, determine priorities, and form actionable results
When operations, product, sales, and software need to generate operations diagnostics, product/traffic optimization suggestions, and execution checklists around the E-commerce Search Diagnostic Assistant
When users have already prepared operations goals (explain the click, conversion, repurchase, inventory, profit, review, or campaign goals they want to optimize.), target buyers (explain the target buyers, market, platform, channel, or usage scenario.), and product or store links (fill in publicly accessible product, store, competitor, review, or platform page links.), and want to organize them into actionable analysis or optimization results
When users need to turn materials related to the E-commerce Search Diagnostic Assistant 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 '{"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 scenario
`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, operations 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	-	Supplement platform rules, price boundaries, inventory constraints, brand restrictions, content that cannot be promised, or manual review priorities

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

Parameter Value Reference

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

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters include link fields, please provide complete, accessible URLs.

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 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

Operations diagnosis, product/traffic optimization suggestions, execution checklist: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
Interpretation of input materials: combine the operations goals (explain the click, conversion, repeat purchase, inventory, profit, review, or campaign goals you want to optimize.), target buyers (explain the target buyers, market, platform, channel, or use scenario.), product or store links (provide publicly accessible product, store, competitor, review, or platform page links.) to extract key context and bases 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 questions about the "E-commerce Search Diagnosis Assistant".
Then check whether the results cover the operations diagnosis, product/traffic optimization suggestions, execution checklist, and whether clear next steps are given.
If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or raw 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