按关键词查询亚马逊商业洞察报告,涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight,...
--- name: linkfox-amazon-opportunity-report-by-keyword description: 按关键词查询亚马逊商业洞察报告,涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential, competitive landscape, consumer behavior, pricing analysis, product selection report, niche analysis时触发此技能。即使用户未明确说"商业洞察",只要其需求涉及对某个亚马逊关键词做全面的市场机会评估或综合性报告生成,也应触发此技能。 --- # Amazon Market Opportunity Report This skill guides you on how to generate comprehensive AI-powered market insight reports for Amazon keywords, helping sellers make data-driven product selection and market entry decisions. ## Core Concepts This tool generates a comprehensive business insight report by analyzing six core dimensions of an Amazon keyword: 1. **Market Potential** - Search volume, demand trends, and growth opportunity 2. **Product Characteristics** - Common product attributes, materials, features 3. **User Reviews** - Customer sentiment, pain points, and satisfaction drivers 4. **Customer Profile** - Buyer demographics, preferences, and behavior patterns 5. **Search Trends** - Keyword popularity trajectory and seasonality 6. **Pricing Analysis** - Price distribution, competitive pricing landscape The report is generated by AI from real-time Amazon data and delivered as a structured Markdown document. It is a snapshot analysis for decision support, not a real-time monitoring tool. ## Parameters | Parameter | Type | Required | Description | Default | |-----------|------|----------|-------------|---------| | site | string | Yes | Amazon marketplace code (currently US only) | US | | keyword | string | Yes | The search keyword to analyze | - | ## Supported Marketplaces Currently only **US** (United States) is supported. Always set `site` to `US`. If a user requests other marketplaces, inform them this tool currently only covers the US market. ## 调用方式 - **API 端点**:`POST /amazon/opportunity/reportByKeyword`(完整参数/响应/错误码见 `references/api.md`) - **Python 脚本**:`python scripts/amazon_opportunity_report.py '<JSON 参数>' [--inline]` - **成本约束**:本工具会消耗积分;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。 **输出策略(脚本默认行为)**: - **始终**将完整响应写入 `<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-amazon-opportunity-report-by-keyword-<timestamp>.json`(`<cwd>` 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;`<session>` 取自环境变量 `SESSION_ID`,按用户任务自动聚合;**禁止写入 /tmp**,当前目录不可写则报错) - 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout - 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如 `total`/`costToken`、最大列表字段的长度 + 前 3 条样本) - 加 `--inline` 强制全量打印到 stdout(同样落盘) **读数据建议**:先看摘要判断是否足够;需要具体字段时优先用 `jq`或`ConvertFrom-Json` 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。 ## Usage Examples **1. Basic Market Opportunity Report** ``` 帮我搜索美国站,关键词是 hair mousse travel size 的商业洞察报告 ``` **2. Niche Product Research** ``` 帮我生成美国站关键词 magnetic shelves for whiteboard 的商业洞察报告 ``` **3. Trend-Based Product Selection** ``` 我想了解美国站 solar power ac unit 这个关键词的商业洞察,帮我生成报告 ``` ## Display Rules 1. **Present the report directly**: The API returns a Markdown-formatted report in the `stdout` field - display it as-is to the user 2. **No subjective advice**: Present the AI-generated analysis without adding your own business recommendations 3. **Clarify scope**: Remind users the report is based on a point-in-time snapshot and serves as a reference for decision-making 4. **Error handling**: When a query fails, explain the reason based on the `msg` field and suggest checking the keyword or trying again 5. **No secondary analysis**: This tool's output cannot be fed into data query tools for further processing - inform users if they attempt this ## Important Limitations - **US only**: Currently only supports the United States marketplace (site = US) - **Non-structured output**: Returns a Markdown report, not structured JSON data. Cannot be used with data query tools for secondary aggregation or analysis - **Processing time**: Report generation involves AI analysis and may take longer than simple data lookups - **Snapshot data**: Reports reflect data at the time of generation and are not continuously updated ## User Expression & Scenario Quick Reference **Applicable** - Comprehensive keyword-level market analysis: | User Says | Scenario | |-----------|----------| | "Help me analyze this keyword's market opportunity" | Market opportunity assessment | | "Generate a market insight report for XX" | Full insight report | | "What's the competitive landscape for XX" | Competition & pricing analysis | | "Consumer profile for XX product" | Customer behavior insights | | "Is XX keyword worth entering" | Market entry evaluation | | "选品报告", "商业洞察" | Chinese market research requests | **Not applicable** - Needs beyond comprehensive report generation: - Real-time keyword ranking tracking (use ABA or SIF tools) - Individual product detail lookup (use product detail tools) - Historical price tracking (use Keepa) - Review-level analysis for specific ASINs (use review tools) - Advertising / PPC strategy **Boundary judgment**: When users say "market analysis" or "product research", if they want a holistic, multi-dimensional overview of a keyword's market opportunity, this skill applies. If they need specific data points (exact sales numbers, individual product details, keyword rankings over time), direct them to the appropriate specialized tool. **Feedback:** Auto-detect and report feedback via the Feedback API when any of the following apply: 1. The functionality or purpose described in this skill does not match actual behavior 2. The skill's results do not match the user's intent 3. The user expresses dissatisfaction or praise about this skill 4. Anything you believe could be improved Call the feedback API as specified in `references/api.md`. Do not interrupt the user's flow. --- *For more high-quality, professional cross-border e-commerce skills, visit [LinkFox Skills](https://skill.linkfox.com/).*
don't have the plugin yet? install it then click "run inline in claude" again.