Cross-Border Listing Generator
Paste the following prompt into your AI chat to install this skill:
Please install @user_c28beb7a/cross-border-listing according to https://skillhub.cn/install/skillhub.md.
About this skill
The Problem
Cross-border listings often fail because platform rules, language habits, and keyword placement differ. Copying one product description to Amazon, Temu, Shopee, Lazada, AliExpress, or TikTok Shop can cause character limits, banned words, mixed American/British spelling, or weak bullet points such as stainless steel without the buyer benefit of rust resistance. This skill turns product information into publish-ready drafts for multiple channels, with search terms, pricing guidance, and compliance notes.
How It Works
It starts by collecting product name, core selling points, target platforms, and market language. When details are missing, it asks follow-up questions or applies sensible defaults. It then applies platform-specific rules to generate a title, five bullet points, product description, SEO keywords, pricing suggestion, and image guidance. For Amazon, it emphasizes the first third of the title, FEATURE + BENEFIT bullets, and 250-byte backend search terms; for TikTok Shop, it favors conversational bullets and Hashtag suggestions. For electronics, toys, cosmetics, food-contact items, medical products, and batteries, it adds compliance prompts such as certification requirements, age warnings, ingredient declarations, or UN38.3. When batch generation is requested, it first builds a shared source library, then adapts length, format, and keyword variants for each marketplace; when optimizing existing listings, it prioritizes compliance, conversion impact, and polish.
Boundaries
It produces structured listing drafts, not product images. Pricing formulas are rough estimates, not financial calculations, and non-Latin scripts should be reviewed by native speakers. Platform policies may change, so sellers should verify the latest rules before launch. It is useful for drafting, optimizing existing listings, extracting competitor keyword patterns, and aligning copy across marketplaces.
Use Cases
- Prepare a new Amazon US product and generate a title, bullets, description, and backend search terms within limits.
- Adapt one product for Shopee, Lazada, and TikTok Shop by rewriting bullets and tone for each marketplace.
- Review an existing Temu listing for banned words, spelling, keyword duplication, and prioritized fixes.
- Extract competitor bullet patterns to find a missing differentiator and add it to the product description.
Best For
- Cross-border operations staff publishing Amazon copy who need listing text that fits character limits and benefit structure.
- E-commerce managers rolling out the same product across Shopee, Lazada, and AliExpress need platform-specific rewrites.
- Sellers or copy optimizers reviewing existing listings for SEO keywords, banned words, and localization.
- Compliance reviewers adding certification, age-warning, or ingredient prompts for electronics, toys, and cosmetics.
Related Skills
Analyzes bidding documents, extracts key requirements and risks, and generates a structured WPS report.
Amazon US A9 Listing optimization workflow that uses Fast and Full tiers to combine PDP data, reviews, and trademark checks into copy-ready title, bullets, and backend search terms.
Scans a reimbursement folder, extracts ride, hotel, high-speed rail, and flight details, calculates allowances and discounts, and outputs a deduplicated report.
Stress-test product logic by challenging assumptions, demanding evidence, and pruning the idea to a minimal verifiable core.