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.
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-keywordsSKILL.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.
Plan and create Amazon A+ Content (Enhanced Brand Content). Design module layouts, write persuasive copy, plan comparison charts, and create image briefs that convert browsers into buyers.
Build a comprehensive Amazon advertising strategy combining Sponsored Products, Sponsored Brands, and Sponsored Display. Budget allocation, campaign structure, keyword strategy, and ACoS optimization.
Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising strategies.
Brand Registry enrollment guide — eligibility, application, benefits, A+ Content access, brand protection tools
Brand Tailored Promotions — audience targeting, discount tiers, customer segmentation, repeat purchase incentives
Amazon Buy Box strategy and optimization framework. Eligibility factor analysis, competitive pricing strategies, FBA vs FBM impact assessment, seller performance optimization, and Buy Box winning tactics. Use when the user asks about Amazon Buy Box, winning Buy Box, Buy Box eligibility, or Buy Box optimization.
Category and brand ungating — requirements, documentation, appeal process, restricted categories guide
Full-spectrum Amazon competitor analysis. Compare listings, pricing, reviews, advertising strategy, and market positioning against direct competitors. Identify weaknesses to exploit and strengths to counter. Use when the user asks about competitor analysis, competitive research, ASIN comparison, pricing analysis, or how to beat competitors on Amazon.