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SKILL.md

ecommerce-keyword-research

Agent skill fromnexscope-ai/eCommerce-Skills

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.

How to install ecommerce-keyword-research

install ecommerce-keyword-research
# install the eCommerce-Skills pack with the skills CLI
npx skills add nexscope-ai/eCommerce-Skills

# or add only this skill to Claude Code: copy the folder

ecommerce-keyword-research/

# into

~/.claude/skills/ecommerce-keyword-research/ (all projects)

.claude/skills/ecommerce-keyword-research/ (one project)

ecommerce-keyword-research/SKILL.md

MITFull file
1# E-Commerce Keyword Research 🔍
2
3Cross-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.
4
5**Supported platforms:** Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
6
7Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
8
9## Install
10
11```bash
12npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-keyword-research -g
13```
14
15## Usage
16
17```
18Find the best keywords for my bamboo cutting board. I sell on Amazon US and my own Shopify store.
19```
20
21## Capabilities
22
23- Cross-platform keyword discovery (Amazon, Google, Etsy, Walmart, TikTok)
24- Long-tail keyword expansion with commercial intent scoring
25- Keyword grouping by search intent (informational, commercial, transactional)
26- Competition assessment based on keyword structure and modifier analysis
27- Seasonal trend identification and keyword calendar planning
28- Platform-specific keyword optimization (Amazon A9, Etsy SEO, Google Shopping)
29
30## How This Skill Works
31
32**Step 1:** Collect information from the user's message — product, platform, current situation, and goals.
33
34**Step 2:** Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
35…

Excerpt shown under the repository's MIT license.

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