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Skill255 repo starsupdated 2d ago

amazon-backend-keywords

This Claude Code skill generates optimized Amazon backend search keywords within the strict 250-byte platform limit. Use it when launching or refreshing product listings to maximize discoverability by deduplicating keywords already present in titles and bullets, prioritizing high-relevance terms, filtering prohibited competitors and claims, and incorporating misspellings and synonyms that customers actually search for.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills /tmp/amazon-backend-keywords && cp -r /tmp/amazon-backend-keywords/amazon-backend-keywords ~/.claude/skills/amazon-backend-keywords
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Amazon Backend Keywords 🏷️

Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and formatting keywords that aren't already in your listing.

**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 amazon-backend-keywords -g
```

## Usage

```
Optimize my backend keywords. My product is a bamboo laptop stand. Here are my current title and bullets: [paste listing]. Here are 50 keyword candidates: [paste keywords].
```

## Capabilities

- 250-byte limit optimization (maximum keyword coverage in minimum space)
- Deduplication against title, bullets, and description
- Keyword prioritization by relevance and search volume signals
- Spanish/multilingual keyword inclusion strategy
- Misspelling and synonym coverage
- Prohibited term filtering (competitor brands, restricted claims)
- Before/after coverage comparison

## 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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