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Amazon Backend Keywords

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liangdabiao
amazon-backend-keywords

优化亚马逊后台搜索词以最大化可发现性。通过去重、排序和格式化不在 listing 中的关键词，生成最优的250字节后台关键词集。

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-backend-keywords
Stars
99
Forks
20
Bundled files
1
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by liangdabiao on GitHub. Read the source before you install it.

Installation

Install the Amazon Backend Keywords AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-backend-keywords
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/liangdabiao/Amazon-Skills-Liang.git /tmp/Amazon-Skills-Liang
mkdir -p .claude/skills
cp -r /tmp/Amazon-Skills-Liang/skills/amazon-backend-keywords .claude/skills/amazon-backend-keywords
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Backend Keywords in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amazon Backend Keywords on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amazon Backend Keywords is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon 后台关键词 🏷️

优化亚马逊后台搜索词以最大化可发现性。通过去重、排序和格式化不在 listing 中的关键词，生成最优的250字节后台关键词集。

支持的平台： Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。

使用方法

优化我的后台关键词。我的产品是竹制笔记本支架。以下是我当前的标题和五点：[粘贴 listing]。以下是50个候选关键词：[粘贴关键词]。

功能

  • 250字节限制优化（最小空间最大化关键词覆盖）
  • 与标题、五点和描述的去重核对
  • 按相关性和搜索量信号排序关键词
  • 多语言关键词纳入策略
  • 拼写错误和同义词覆盖
  • 禁用词过滤（竞品品牌、受限声明）
  • 优化前后覆盖对比

工作原理

第一步： 从用户消息中收集信息 — 产品、平台、当前状况和目标。

第二步： 用多选格式一次性提出所有后续问题。允许简写回答（如"1b 2c 3a"）。

第三步： 使用下方的框架和方法论进行研究分析。

250字节限制优化系统

  • 字节计算： 英文字母/数字 = 每个1字节。中文/日文 = 每个2-3字节。特殊字符也可能占用多字节。使用空格分隔格式（不用逗号/分号）以节省分隔符字节。
  • 精确去重： 移除已在标题或五点中的关键词 — 它们不会增加额外索引权重。只包含不在 listing 内容中已可见的关键词。
  • 词干去重： 亚马逊算法识别词根。"Running"覆盖"runner"和"run"。合并变体为一个最优形式以避免冗余。
  • 语义去重： 识别高度相似的短语。保留搜索量更高或覆盖更广的表达。

关键词排序算法

  • 搜索量加权： 基于月搜索量计算基础分 — 搜索量越高 = 优先级越高。
  • 竞争修正因子： 高搜索量关键词通常竞争激烈。对新品或评论少的产品应用修正。提升中等竞争、搜索量尚可的长尾关键词。
  • 相关性强度评估： 只有高相关性关键词才能带来有价值的流量。剔除低相关性高搜索量词（如卖瑜伽垫但 targeted "运动鞋"）。
  • 独立覆盖价值： 评估每个关键词是否覆盖了其他关键词无法覆盖的搜索需求。独立价值低 = 空间紧张时可替换。

拼写错误和同义词覆盖

  • 常见拼写错误： 包含高频错误（如"bluetooth"常见错误"blutooth"）。不要穷尽所有变体 — 只选真正高频的错误。
  • 同义词扩展： 覆盖地区变体和不同消费者用语（如美国市场"portable charger" vs "power bank"）。
  • 西班牙语关键词： 美国市场分配约30-50字节用于核心卖点的西班牙语翻译，以触达西班牙语消费者。

禁用词过滤

  • 竞品品牌过滤器： 绝不包含其他品牌的商标 — 可能导致 ASIN 被抑制。
  • 受限声明过滤器： 禁止"最佳"、"第一"、"免运费" — 违反亚马逊政策。
  • 主观声明过滤器： 避免"惊人"、"最棒" — 无法验证的声明。
  • 标点清理： 移除多余空格、重复分隔符、特殊字符。

数据来源

  • 用户提供标题、五点和50-100个候选关键词。
  • 无外部 API。去重和排序基于内置逻辑。

局限性

  • 250字节是硬性限制 — 不可超出。
  • 标题/五点中已有的重复关键词浪费字节而不增加索引权重。
  • 拼写变体占用字节但能捕获错失的流量。

第四步： 提供结构化、可执行的输出，包含具体建议，而非模糊指导。

输出格式

  • 先给出发现总结
  • 包含具体数据点和基准（若有）
  • 提供优先排序的行动项
  • 基于不完整数据的估算需标注 ⚠️
  • 以具体的后续步骤结尾

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Amazon Backend Keywords AI skill do?

优化亚马逊后台搜索词以最大化可发现性。通过去重、排序和格式化不在 listing 中的关键词，生成最优的250字节后台关键词集。

Why use Amazon Backend Keywords on TypingMind?

Because you install it once and use it with any model. Amazon Backend Keywords is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amazon Backend Keywords in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-backend-keywords. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Amazon Backend Keywords?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amazon Backend Keywords?

As many as you like. As long as a model supports skills, you can use Amazon Backend Keywords with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amazon Backend Keywords AI skill free?

It is published on GitHub by liangdabiao. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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