amazon-backend-keywords

bynexscope-aiBeta

Backend search term optimization — 250-byte limit, deduplication, prioritization.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

Installation

Send this command to your AI agent:

npx skills add https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-backend-keywords --skill amazon-backend-keywords

Documentation

---

name: amazon-backend-keywords

description: "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."

metadata:

nexscope:

emoji: "🏷️"

category: amazon

---

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 — your AI assistant for smarter e-commerce decisions.

Install

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

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Links

GitHub