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E-Commerce Keyword Research

Name: E-Commerce Keyword Research
Author: nexscope

作者 nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

176

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ecommerce-keyword-research

功能描述

Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. An...

使用说明 (SKILL.md)

E-Commerce Keyword Research 🔍

Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. Analyzes search volume signals, competition indicators, commercial intent, and long-tail opportunities.

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 ecommerce-keyword-research -g

Usage

Find the best keywords for my bamboo cutting board. I sell on Amazon US and my own Shopify store.

Capabilities

Cross-platform keyword discovery (Amazon, Google, Etsy, Walmart, TikTok)
Long-tail keyword expansion with commercial intent scoring
Keyword grouping by search intent (informational, commercial, transactional)
Competition assessment based on keyword structure and modifier analysis
Seasonal trend identification and keyword calendar planning
Platform-specific keyword optimization (Amazon A9, Etsy SEO, Google Shopping)

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 looks like a legitimate e‑commerce keyword assistant, but exercise caution before installing or running anything it points to. Specific things to consider: 1) SKILL.md instructs you to run an `npx` command with `-g` (global install) even though the registry lists no install spec—verify the package source (GitHub repo and npm publishing account) and inspect its code before running it. 2) Many supported platforms (Shopify, Amazon, Etsy, etc.) normally require API keys — ask the author how credentials are handled and avoid entering sensitive keys into untrusted prompts. 3) The SKILL.md is vague about how it 'researches' keywords (web scraping vs official APIs); scraping can trigger rate limits or legal restrictions. 4) If you want to try it, prefer a non‑global, sandboxed install (inspect package contents locally) and review the linked GitHub repos (nexscope-ai/*). If you cannot validate the external package, treat the install step as risky and avoid running it.

功能分析

Type: OpenClaw Skill Name: ecommerce-keyword-research Version: 1.0.0 The skill bundle consists of metadata and instructional markdown (SKILL.md) designed to guide an AI agent in performing e-commerce keyword research. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection or obfuscation. The instructions are entirely consistent with the stated purpose of analyzing search volume and competition across platforms like Amazon and Shopify.

能力评估

ℹ Purpose & Capability

Name, description, and SKILL.md all describe cross‑platform e‑commerce keyword research (Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, Walmart, etc.). That claimed capability is plausible for an instruction‑only skill using public signals and heuristics. However, the skill advertises integrations with services that commonly require API credentials (Shopify, Amazon, Etsy) yet the registry metadata declares no required environment variables or primary credential — this omission is noteworthy and unexplained.

ℹ Instruction Scope

The SKILL.md confines runtime instructions to: collect product/platform/goals from the user, ask a single multi‑choice followup, perform research/analysis using stated frameworks, and return structured output. It does not instruct reading local files, system paths, or unrelated environment variables. However, it is vague about how 'research' is performed (web queries, scraping, third‑party APIs, or an external package), leaving the agent with broad discretion to fetch external data.

⚠ Install Mechanism

Registry shows no install spec (instruction‑only), but SKILL.md contains an explicit install line: `npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-keyword-research -g`. That directs users/agents to fetch and run external code via npx and perform a global install. This is inconsistent with the registry metadata and introduces risk: npx may execute arbitrary remote code, and a global (-g) install modifies system state. The skill package name should be verified (source, integrity, and contents) before running.

ℹ Credentials

The skill declares no required environment variables or credentials. Given the number of supported platforms (many of which typically require API keys/tokens for reliable data), this is either because the skill relies only on public signals/heuristics or because credentials would be requested at runtime or handled by the external package. The absence of declared credentials reduces transparency and may lead to unexpected prompts for sensitive tokens later.

✓ Persistence & Privilege

The skill does not request always: true and has no OS restrictions or required config paths. As an instruction‑only skill with no install spec in the registry, it does not demand persistent platform privileges. The SKILL.md's suggested global npx install (if followed) would grant the installed package system presence, but that behavior is from the install command, not the registry metadata.

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 ecommerce-keyword-research
安装完成后，直接呼叫该 Skill 的名称或使用 /ecommerce-keyword-research 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

Beta release — functional skill for e-commerce AI agents. Built by Nexscope.

元数据

Slug ecommerce-keyword-research

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题