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amazon-backend-keywords

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🇺🇸

Original

English
🇨🇳

Translation

Chinese

Amazon Backend Keywords 🏷️

Amazon后台关键词 🏷️

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.
优化亚马逊后台搜索词以实现最大曝光量。通过去重、排序并格式化未出现在您商品列表中的关键词，生成符合250字节限制的最优后台关键词组合。
支持平台： Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
由Nexscope开发——助力您做出更明智电商决策的AI助手。

Install

安装

bash
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-backend-keywords -g
bash
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-backend-keywords -g

Usage

使用方法

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].
优化我的后台关键词。我的产品是竹制笔记本电脑支架。以下是我当前的标题和要点：[粘贴商品列表内容]。以下是50个候选关键词：[粘贴关键词]。

Capabilities

功能特性

  • 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
  • 250字节限制优化（用最小空间实现最大关键词覆盖）
  • 针对标题、要点和描述的去重处理
  • 根据相关性和搜索量信号进行关键词排序
  • 西班牙语/多语言关键词纳入策略
  • 拼写变体及同义词覆盖
  • 禁用词过滤（竞品品牌、受限宣传语）
  • 优化前后的覆盖范围对比

How This Skill Works

该Skill的工作流程

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.
步骤1： 从用户消息中收集信息——产品、平台、现状及目标。
步骤2： 通过选择题形式一次性提出所有剩余问题。支持简短回答（例如：“1b 2c 3a”）。
步骤3： 使用以下框架和方法进行调研分析。
步骤4： 输出结构化、可执行的结果及具体建议，而非模糊的指导。

Output Format

输出格式

  • 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
  • 以调研结果摘要开头
  • 尽可能包含具体数据点和基准指标
  • 提供按优先级排序的行动项
  • 基于不完整数据的估算需标记⚠️
  • 以明确的后续步骤结尾

Other Skills

其他Skill

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.
更多电商Skill：nexscope-ai/eCommerce-Skills
亚马逊专属Skill：nexscope-ai/Amazon-Skills
由Nexscope开发——助力您做出更明智电商决策的AI助手。