Install
openclaw skills install buywiseBuyWise is your personal shopping advisor — it helps you decide whether to buy, where to buy, and when to buy, across all major global and Chinese platforms. Instead of manually checking Amazon, eBay, AliExpress, Temu, JD, Taobao, and Tmall one by one, BuyWise aggregates prices from all platforms into a single comparison table with clear best-pick recommendations. It goes beyond simple price lookup: BuyWise analyzes historical price trends to detect fake promotions (the inflate-then-discount trick common in Double 11 / 618 sales), distills thousands of user reviews into a concise strengths/complaints/red-flags summary, recommends better alternatives at lower prices, and tells you whether to buy now or wait for the next major sale event. Just tell BuyWise what you want to buy — it handles the rest.
openclaw skills install buywisePrice comparison · Fake discount detection · Review analysis · Alternative recommendations · Buy timing
| Market | Platforms |
|---|---|
| China | JD, Taobao, Tmall, Pinduoduo (100B subsidy), Xianyu (used) |
| International | Amazon, eBay, AliExpress, Temu |
BuyWise navigates real product pages via the browser tool — no guesswork from web_search alone:
| Data type | Source | Platforms covered |
|---|---|---|
| China market prices | smzdm.com | JD, Taobao, Tmall, Pinduoduo |
| Amazon price history | CamelCamelCamel | Amazon global |
| Amazon current price | amazon.com search | Amazon |
| eBay prices | ebay.com search | eBay |
| AliExpress prices | aliexpress.com search | AliExpress |
| Temu / Xianyu | web_search supplement | Temu, Xianyu |
| Reviews | web_search + Zhihu / Xiaohongshu / Reddit | Multi-platform |
BuyWise navigates real data pages directly — no extra skill dependency required.
Triggered when user asks to evaluate a product:
Triggered when user only asks "how much is X" or "cheapest place to buy X" — returns comparison table, skips full analysis.
Triggered when user asks "is this Double 11 price real?" or "is this discount genuine?" — focused analysis of price history.
Triggered when user asks "tell me more about the reviews" or "what's the reputation like?" — deep search across review platforms, forums, and complaint records.
# Full buying decision (main entry)
node scripts/advise.js <product> [--lang zh|en]
# Examples:
node scripts/advise.js "Dyson V15"
node scripts/advise.js "Sony WH-1000XM5" --lang en
# Price comparison only
node scripts/compare.js <product> [--lang zh|en]
node scripts/compare.js "AirPods Pro 2"
# Fake discount check
node scripts/deal-check.js <product> [--price current] [--was listed] [--lang zh|en]
node scripts/deal-check.js "iPhone 16" --price 5999 --was 7999
# Review analysis
node scripts/review-scan.js <product> [--lang zh|en]
node scripts/review-scan.js "Xiaomi Router BE7000"