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Amazon Brand Analytics
作者
nexscope-ai
· GitHub ↗
· v1.0.0
· MIT-0
119
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install amazon-brand-analytics-skill
功能描述
Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purc...
使用说明 (SKILL.md)
Amazon Brand Analytics 📋
Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to optimize your Amazon strategy.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-brand-analytics -g
Usage
Help me analyze my Amazon Brand Analytics data. My top search term has SFR #5,200 with 15% click share but only 8% conversion share. What should I do?
Capabilities
- Search Frequency Rank (SFR) trend interpretation
- Click share and conversion share analysis
- Market basket analysis (frequently bought together insights)
- Repeat purchase behavior patterns
- Demographics data interpretation
- Search term performance optimization recommendations
How This Skill Works
Step 1: Collect information from the user's message — product, platform, current situation, and goals.
Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Research and analyze using the frameworks and methodology below.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
Output Format
- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps
Other Skills
More e-commerce skills: nexscope-ai/eCommerce-Skills
Amazon-specific skills: nexscope-ai/Amazon-Skills
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
安全使用建议
This skill appears to be a conversational/consulting helper that expects you to provide Amazon Brand Analytics data rather than fetch it automatically. Before installing or running the suggested `npx` command: 1) Understand that the registry entry contains no code — the SKILL.md's install line points at an external package you would be pulling from npm/GitHub; verify that repository and package before running it. 2) If you expect automatic integration with Amazon, Shopify, etc., ask the author how credentials are handled — the skill currently declares no credential requirements, so it likely cannot fetch data without additional setup. 3) Do not paste sensitive credentials or tokens into chat; provide only the data you want analyzed or authorize integrations via vetted connectors. 4) If you decide to install the external package, review its source code and publisher identity (nexscope-ai) and prefer installing from the official GitHub repository or an audited package. The main risks here are supply-chain (running an external installer referenced only in SKILL.md) and mistaken expectations about automatic platform integrations.
功能分析
Type: OpenClaw Skill
Name: amazon-brand-analytics-skill
Version: 1.0.0
The skill bundle consists of metadata and markdown instructions (SKILL.md) designed to guide an AI agent in analyzing Amazon Brand Analytics data. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection. The instructions are entirely consistent with the stated purpose of providing e-commerce strategy recommendations.
能力评估
Purpose & Capability
The skill's stated purpose (analyzing Amazon Brand Analytics metrics) aligns with an advisory/consulting skill that works from user-provided data. However the SKILL.md also claims support for many e-commerce platforms (Shopify, WooCommerce, Walmart, etc.) while the manifest requests no credentials or integration configuration — a mismatch that suggests the skill won't actually connect to those platforms itself and likely expects users to paste data. Additionally, the SKILL.md includes an `npx skills add ...` install command referencing an external package, but the registry entry contains no install spec or code files.
Instruction Scope
The runtime instructions are high-level: collect info from the user's message, ask one follow-up, research and analyze, then produce recommendations. They do not instruct the agent to read local files, environment variables, or external credentials. The instructions are vague about what 'research' entails (no explicit allowed endpoints or data sources), which gives the agent broad discretion but is consistent with a purely advisory skill.
Install Mechanism
There is no formal install spec in the manifest, but SKILL.md suggests installing an external package via `npx skills add nexscope-ai/eCommerce-Skills --skill amazon-brand-analytics -g`. That creates a disconnect: the package referenced may install code from npm/GitHub, yet this registry entry is instruction-only. Users following that install line would be executing an external installer not represented in this skill bundle. This is an incoherence and a potential supply-chain risk if you follow the published install step without verifying the external package.
Credentials
The skill declares no required environment variables, credentials, or config paths. For an advisory tool that expects the user to paste or describe Brand Analytics data this is proportional. If a user expects the skill to fetch Amazon or other platform data automatically, the lack of credential requirements is a mismatch and the skill will not be able to do that without additional setup.
Persistence & Privilege
No persistent or privileged settings are requested (always is false, no install spec in the manifest). The skill does not request to be always-enabled and there is no indication it modifies other skills or system configuration.
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-brand-analytics-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/amazon-brand-analytics-skill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 the Amazon Brand Analytics skill by Nexscope.
- Analyze and interpret Amazon Brand Analytics data for smarter e-commerce decisions.
- Supports key insights: Search Frequency Rank trends, click share vs conversion share, market basket analysis, repeat purchase behavior, and demographics.
- Guidance and recommendations are structured with summaries, benchmarks, action items, and next steps.
- Supports additional platforms including Shopify, Walmart, TikTok Shop, Etsy, eBay, WooCommerce, and BigCommerce.
元数据
常见问题
Amazon Brand Analytics 是什么？
Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purc... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 119 次。
如何安装 Amazon Brand Analytics？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-brand-analytics-skill」即可一键安装，无需额外配置。
Amazon Brand Analytics 是免费的吗？
是的，Amazon Brand Analytics 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Amazon Brand Analytics 支持哪些平台？
Amazon Brand Analytics 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 Brand Analytics？
由 nexscope-ai（@nexscope）开发并维护，当前版本 v1.0.0。
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