An automated cross-border e-commerce copywriting agent that generates multi-platform, multi-lingual, and SEO-optimized product listings in 8 languages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cross-border-listing
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cross-border-listing using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cross-Border E-Commerce Listing Generator?
The Cross-Border Listing Generator is a specialized AI agent skill designed for global e-commerce merchants and digital marketers who want to scale their international reach. By deploying this skill within the Openclaw Skills ecosystem, sellers can automatically craft high-converting, search-optimized product listings tailored to the specific algorithms and guidelines of Amazon, Temu, Shopee, Lazada, AliExpress, and TikTok Shop. It eliminates the friction of manual translation, formatting rules, and localized SEO keyword research.
This solution translates and localizes listing content from Chinese or English into eight target languages (English, Japanese, Spanish, German, French, Korean, Portuguese, and Chinese) while incorporating platform-specific compliance checks, competitive pricing suggestions, and image asset guidelines. With built-in anti-pattern checkers, it ensures your copy maintains a native tone, avoids platform policy violations, and ranks high on search result pages.
Cross-Border E-Commerce Listing Generator Use Cases
- Launching products globally on multiple marketplaces simultaneously with platform-specific formatting.
- Localizing existing Amazon US listings to European or Asian marketplaces (e.g., German, French, Japanese) using native idioms and spelling habits.
- Performing SEO audits and keyword optimization on active listings using the built-in competitor analysis model.
- Automatically checking high-risk categories (electronics, toys, cosmetics) for compliance warnings before publishing.
- Generating rapid wholesale-to-retail pricing matrices and product imagery layout strategies based on cost structures.
How Cross-Border E-Commerce Listing Generator Works
- Information Gathering: The agent prompts for essential product data, including name, core features, target platforms, and target markets, gracefully defaulting to Amazon US or primary regional hubs if details are sparse.
- Reference Guide Loading: It accesses local guidelines (e.g.,
references/amazon.md,references/compliance.md) to load strict constraints on character counts, prohibited keywords, and search term byte limits. - Copywriting & Formatting: The skill drafts optimized titles (putting heavy keywords in the first 1/3), Feature-Benefit bullet points (the Five Points), HTML/emoji-enhanced descriptions, and platform backend keywords.
- Pricing and Asset Guidance: If cost inputs are provided, the agent applies platform-specific gross margin formulas to estimate suggested retail prices and drafts structured primary/secondary image layout guides.
- Compliance & Self-Audit: Before final output, the skill runs an automated QA check scanning for forbidden promotional phrases, keyword stuffing, US/UK English spelling mixes, and critical category compliance requirements.
Cross-Border E-Commerce Listing Generator Setup
Installation
Clone the skill repository into your Openclaw Skills folder structure:
# Navigate to your openclaw skills directory
cd openclaw-project/skills/
# Clone or copy the cross-border-listing folder
git clone <repository-url> cross-border-listing
Directory Structure
Ensure that your local folder contains the reference files under the references/ subdirectory relative to the skill's root folder:
cross-border-listing/
├── SKILL.md
└── references/
├── amazon.md
├── temu.md
├── shopee.md
├── lazada.md
├── aliexpress.md
├── tiktokshop.md
├── keyword_strategy.md
├── compliance.md
├── examples.md
└── troubleshooting.md
Cross-Border E-Commerce Listing Generator Data Schema & Taxonomy
The Cross-Border Listing generator structures e-commerce listing metadata consistently across platforms using localized reference taxonomies.
Reference Sources
| Reference File | Purpose | Key Metadata Content |
|---|---|---|
amazon.md |
Bullet & Title rules | Title structures, Feature-Benefit templates, 250-byte backend Search Term constraints. |
temu.md |
Bilingual Temu guidelines | Full-custody pricing advice, bullet point layouts in Chinese & English. |
compliance.md |
Regional certification rules | Electronics (FCC/CE), Toys (warnings), Cosmetics (prohibited ingredients), Batteries (UN38.3). |
keyword_strategy.md |
Competitor keyword parsing | Long-tail keyword distribution structures, search volume priority templates. |
Generated Listing Schema (Output Format)
The agent returns a structured Markdown document with the following schema for each targeted platform:
- Platform Header:
## [Platform Name] — [Target Market / Language] - Title:
### 📌 Title(Strictly within platform character caps with core keywords in the front 1/3) - Bullet Points:
### 📋 Bullet Points / Core Selling Points(Structured as Feature + Benefit pairs) - Description:
### 📝 Product Description(Text, HTML, or Emoji formatted copy starting with pain point/scenario) - Search Terms:
### 🔍 Search Terms / Keywords(Backend space-separated search tags or hashtags) - Pricing Suggestion:
### 💰 Pricing Recommendation(Evaluated via margin formulas in regional currency, e.g., USD, JPY) - Image Strategy:
### 🖼️ Image Recommendations(Detailed sequence plans for main and secondary visuals) - Compliance Box:
### ⚠️ Compliance Warning(Appended automatically for high-risk categories like toys, electronics, or medical)
Cross-Border E-Commerce Listing Generator Advanced Features
- Multi-Platform Batch Synthesizer: Generates a unified 'Master Asset Library' first, then mutates it to match guidelines across multiple platforms simultaneously.
- Intelligent Degrade Strategy: Gracefully scales back when user inputs are missing—such as skipping pricing logic if cost is undefined or prioritizing the largest geographic market when target countries are unspecified.
- Deep Competitor Analysis Mode: Reads raw competitor listings, breaks down title keyword hierarchy, and targets unaddressed selling points to provide a highly differentiated output.
- Auto-QA Audit & Checklist: Instantly checks completed copy for anti-patterns, including keyword stuffing, comparative statements (e.g., 'best quality'), mixed US/UK spelling habits (e.g., 'color' vs 'colour'), and literal translation errors.
- Smart Continuation Hook: Offers built-in recovery prompts (e.g., 'continue', or segment-by-segment generation) to bypass LLM output token limits during massive batch generations.
SKILL.md
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