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ClaudeWave
Skill249 estrellas del repoactualizado 3d ago

ecommerce-keyword-research

This Claude Code skill performs cross-platform keyword research for e-commerce sellers, analyzing search volume, competition levels, commercial intent, and long-tail opportunities across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, Walmart, and other major platforms. Use it when launching products, optimizing listings, identifying seasonal trends, or expanding keyword strategies across multiple sales channels.

Instalar en Claude Code
Copiar
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills /tmp/ecommerce-keyword-research && cp -r /tmp/ecommerce-keyword-research/ecommerce-keyword-research ~/.claude/skills/ecommerce-keyword-research
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

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](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

## Install

```bash
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](https://github.com/nexscope-ai/eCommerce-Skills)

Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)

Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
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