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在 OpenClaw 中安装
/install amazon-hot-products
功能描述
Scout Amazon trending products, hot searches, new releases, and rising categories to find blue ocean opportunities early. Triggers: hot products, hot search,...
使用说明 (SKILL.md)
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 \x3C5 = Skip or monitor
Output Format
- Trending Opportunities — ranked list with Blue Ocean Score
- Category Heat Map — which categories are rising vs. cooling
- Early Entry Windows — products with \x3C200 reviews but rising BSR
- Avoid List — saturated trends (too late to enter profitably)
- 30-Day Watch List — opportunities to monitor for next scan
Rules
- Always check review count before calling a trend "early" — >500 reviews = not early
- Flag categories with known high return rates (electronics, clothing)
- Distinguish between fad (short spike) and trend (sustained growth)
- Note when seasonal peaks are approaching — timing matters
- Always pair trend data with estimated margin — demand means nothing if margins are thin
安全使用建议
This skill is instruction-only and internally consistent with its purpose. Before installing: (1) Do not paste credentials, CSV files containing Seller Central login tokens, or other secrets — the skill expects pasted data only. (2) Confirm how your agent implementation handles 'memory' (what is stored, retention policy, and how to delete saved items) before using 'hot save'. (3) If you want additional safety, restrict the agent's allowed tools (the SKILL.md lists Bash as an allowed tool) so it cannot execute shell commands in your environment. (4) If you plan to use actual Seller Central/Brand Analytics data, consider extracting and sanitizing only the fields needed (search terms, counts, BSR) rather than full reports. (5) Optionally review the linked GitHub homepage to ensure there is no hidden code you need to be aware of before granting broader runtime privileges.
功能分析
Type: OpenClaw Skill
Name: amazon-hot-products
Version: 1.0.0
The skill bundle is a set of instructions for an AI agent to perform Amazon market research and trend analysis. It contains no executable code or malicious scripts, focusing entirely on a framework for evaluating product demand and competition. While it requests 'Bash' tool access, no actual shell commands are provided, and the logic is strictly aligned with the stated purpose of scouting trending products.
能力评估
Purpose & Capability
Name/description (scout Amazon trends) matches the SKILL.md: it defines commands, scoring, and required user-supplied data (BSR, search terms, category). There are no unrelated dependencies or credentials requested.
Instruction Scope
SKILL.md instructs the agent to analyze user-provided trend data and apply heuristics (BSR, search volume, reviews, seasonality). It does not direct reading system files, environment variables, or external endpoints beyond asking the user to paste data. The only persistence hint is 'hot save' which saves opportunities to agent memory — expected for this use case.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be downloaded or written to disk by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. It references Seller Central data conceptually but does not ask the platform for Seller Central credentials — user supplies data manually if desired.
Persistence & Privilege
always:false (normal). The skill includes a 'hot save' command implying use of agent memory to persist opportunities; this is proportionate but users should be aware saved opportunities may be retained by the agent's memory system and could contain sensitive business data.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install amazon-hot-products - 安装完成后，直接呼叫该 Skill 的名称或使用
/amazon-hot-products触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of "amazon-hot-products" skill.
- Scout Amazon trending products, hot searches, new releases, and emerging categories without needing an API key.
- Provides commands to track hot products, search trends, BSR movers, seasonal trends, and generate weekly reports.
- Introduces framework to evaluate trends using search volume, BSR velocity, review rates, and seasonality.
- Includes "Blue Ocean Score" system for ranking opportunities by demand, competition, margin, and differentiation.
- Structured output for trending opportunities, category heat map, early-entry products, avoid list, and watch list.
元数据
常见问题
Amazon Hot Products 是什么？
Scout Amazon trending products, hot searches, new releases, and rising categories to find blue ocean opportunities early. Triggers: hot products, hot search,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 174 次。
如何安装 Amazon Hot Products？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-hot-products」即可一键安装，无需额外配置。
Amazon Hot Products 是免费的吗？
是的，Amazon Hot Products 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Amazon Hot Products 支持哪些平台？
Amazon Hot Products 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Amazon Hot Products？
由 mguozhen（@mguozhen）开发并维护，当前版本 v1.0.0。
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