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Amazon Hot Products

该 Skill 提供亚马逊热销与趋势侦察框架:用户以文字粘贴品类、BSR 排名、搜索词、时间周期和目标市场,Skill 依据搜索量激增、BSR 变化速度、评论积累速度和季节性日历识别趋势,按需求、竞争、利润、差异化给出 1–10 分蓝海评分,并输出机会排行、品类热度图、早期入场窗口、避免清单和观察清单。

mguozhen
mguozhen
热度 58.06
最近更新 2026-05-11 17:34:36
分类:营销依赖:代码执行 / 内部调用大模型应用场景:市场分析 / 推荐 / 报告撰写 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add amazon-hot-products
Metadata
name
amazon-hot-products
description
Scout Amazon trending products, hot searches, new releases, and rising categories to find blue ocean opportunities early. Triggers: hot products, hot search, hot new releases, hot movers, hot seasonal, hot compare, hot report, hot save
allowed-tools
Bash
metadata
{"openclaw":{"homepage":"https://github.com/mguozhen/amazon-hot-products"}}

Amazon Hot Products & Trending Scout

Track Amazon's real-time hot searches, new releases, and rising categories. Spot trending products before they become saturated — find blue ocean opportunities early.

Commands

hot products                    # scan trending products across categories
hot search [category]           # analyze hot search terms in category
hot new releases [category]     # find new releases with early traction
hot movers [category]           # find products with rapid BSR improvement
hot seasonal                    # identify upcoming seasonal trends
hot compare [cat1] [cat2]       # compare trend momentum between categories
hot report                      # generate weekly trend report
hot save [opportunity]          # save a trend opportunity to memory

What Data to Provide

  • Category — broad (Electronics) or specific (Wireless Earbuds)
  • BSR data — paste BSR rankings if you have them
  • Search term data — trending search terms from Seller Central
  • Time period — last 7/30/90 days
  • Market — US, UK, DE, JP, etc.

No API key needed. Provide data verbally or paste raw numbers.

Trend Identification Framework

Signal 1: Search Volume Surge

  • Search term appears in Amazon's "Hot New Keywords" (from Seller Central Brand Analytics)
  • Week-over-week search volume growth >20%
  • Low current competition (fewer than 1,000 results for exact match)

Signal 2: BSR Velocity

BSR Movement Signal Strength
BSR improved >50% in 30 days 🔥 Strong
BSR improved 20–50% in 30 days ✅ Moderate
BSR stable ⚪ Neutral
BSR declining ❌ Avoid

Signal 3: Review Accumulation Rate

  • New products getting 50+ reviews in first 60 days = high demand signal
  • Multiple competitors launching simultaneously = category heating up

Signal 4: Seasonal Calendar

Month Trending Categories
Jan–Feb Fitness, Organization, New Year
Mar–Apr Outdoor, Garden, Spring Cleaning
May–Jun Graduation, Father's Day, Summer
Jul–Aug Back to School, Pool/Beach
Sep–Oct Halloween, Fall Home
Nov–Dec Holiday Gifts, Holiday Decor

Blue Ocean Score (1–10)

Score each trending product opportunity:

  • Demand (1–3): Search volume trend direction
  • Competition (1–3): # of sellers, review counts, listing quality
  • Margin (1–2): Estimated price point vs. likely COGS
  • Differentiation (1–2): Can you improve on existing products?

Score 7+ = Enter aggressively Score 5–6 = Enter cautiously with differentiation Score <5 = Skip or monitor

Output Format

  1. Trending Opportunities — ranked list with Blue Ocean Score
  2. Category Heat Map — which categories are rising vs. cooling
  3. Early Entry Windows — products with <200 reviews but rising BSR
  4. Avoid List — saturated trends (too late to enter profitably)
  5. 30-Day Watch List — opportunities to monitor for next scan

Rules

  1. Always check review count before calling a trend "early" — >500 reviews = not early
  2. Flag categories with known high return rates (electronics, clothing)
  3. Distinguish between fad (short spike) and trend (sustained growth)
  4. Note when seasonal peaks are approaching — timing matters
  5. Always pair trend data with estimated margin — demand means nothing if margins are thin