Summary
This does cross-platform keyword research for e-commerce sellers who need to optimize listings on Amazon, Shopify, Etsy, Walmart, TikTok Shop, and others. It analyzes search volume signals, competition levels, and commercial intent, then groups keywords by search intent and suggests long-tail variations. The workflow is straightforward: you tell it your product and platforms, it asks one follow-up with multiple choice questions, then delivers prioritized recommendations with specific data points. Built by Nexscope, it's designed to replace the tedious manual work of checking keyword performance across different marketplace algorithms. Useful if you're managing products across multiple channels and don't want to learn each platform's SEO quirks separately.
Install to Claude Code
npx -y skills add nexscope-ai/ecommerce-skills --skill ecommerce-keyword-research --agent claude-codeInstalls into .claude/skills of the current project.
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Give your AI agent a complete email layer—sending, inbound inboxes, and sandbox testing.
Get 4K emails/month free →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Files
SKILL.mdView on GitHub
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.
Featured
Notes, actions and memory. Without a meeting bot. First month 100% off.
Download for free →Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Give your AI agent a complete email layer—sending, inbound inboxes, and sandbox testing.
Get 4K emails/month free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
