crossborder-listing-localization

crossborder-listing-localization Conversion Experiment Assistant

Quick Start

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Overview

The Conversion Experiment Assistant is used to answer "Is this change worth testing?", e-commerce operations, product conversion, and user feedback. It is suitable for operations, marketing, sales, and product teams to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as original Listing, pasted title, five bullets, description, A+ copy, search terms, or product page content that needs localization. It organizes key context and outputs a summary, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• Users ask questions such as "Is this change worth testing?" and need to quickly break down goals, determine priorities, and form executable results
• Operations, marketing, sales, and product teams need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Conversion Experiment Assistant
• Users have already prepared the publishing platform (publishing platform) and uploaded Listing materials (supports Listing documents, keyword tables, competitor excerpts, product materials, or translated drafts), and the original Listing (pasted title, five bullets, description, A+ copy, search terms, or product page content that needs localization), and hope to organize them into executable analysis or optimization results
• Users need to turn materials related to the Conversion Experiment Assistant into clear conclusions, priorities, and next actions

How to Call

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

Command Examples

Basic Call

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

Call with Common Parameters

python3 scripts/run.py --params '{"platform":"Amazon"}'

Parameter Description

Parameter	Type	Required	Default	Description
platform	string	No	Amazon	Publishing platform; optional values:Amazon、TikTok Shop、Shopee、Lazada、eBay、Etsy、独立站、通用跨境平台
listingFile	string	No	-	Supports Listing documents, keyword tables, competitor excerpts, product materials, or translated drafts
listingText	string	No	-	Pasted title, five bullets, description, A+ copy, search terms, or product page content that needs localization
productInfo	string	No	-	Supplemental specifications, materials, functions, applicable scenarios, certifications, packaging, after-sales service, and information that must be retained
marketRegion	string	No	美国	Target market; optional values:美国、英国、加拿大、德国、法国、意大利、西班牙、日本、韩国、澳大利亚、中东、东南亚、拉美
sourceLanguage	string	No	中文	Source language; optional values:中文、英语、日语、韩语、德语、法语、西班牙语、其他
targetLanguage	string	No	英语	Target language; optional values:英语、日语、韩语、德语、法语、西班牙语、意大利语、葡萄牙语、阿拉伯语
localizationGoal	string	No	提升自然搜索和转化	Optimization goal; optional values:提升自然搜索和转化、降低直译感、优化标题五点、适配目标市场、降低风险表达
keywordRequirements	string	No	-	Enter target keywords, required retained terms, prohibited terms, competitor keywords, or search term report summaries

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

Parameter Value Reference

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

Supported Input Formats

This 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, the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"platform":"Amazon"}'

Equivalent --params JSON：

{
  "platform": "Amazon"
}

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: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the publishing platform (publishing platform), uploaded Listing materials (supports Listing documents, keyword lists, competitor excerpts, product materials, or translated drafts.), and the original Listing (paste the title, five bullet points, description, A+ copy, search terms, or product page content that needs localization.) to extract key context and the 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 "Conversion Experiment 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.

Preparation before running

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