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Amazon Negative Keywords

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liangdabiao
amazon-negative-keywords

通过识别和管理负关键词优化亚马逊PPC广告系列。通过消除不相关的搜索词减少广告浪费，同时保护有价值的转化词。

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-negative-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 Negative 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-negative-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-negative-keywords .claude/skills/amazon-negative-keywords
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Negative 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 Negative 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 Negative 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 负关键词 🚫

通过识别和管理负关键词优化亚马逊PPC广告系列。通过消除不相关的搜索词减少广告浪费，同时保护有价值的转化词。

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

使用方法

分析我的亚马逊搜索词报告。我每月在PPC上花费2000美元，ACoS为40%。帮我找到可以削减浪费的负关键词。

功能

  • 搜索词报告分析，识别负关键词候选
  • 负关键词分类（不相关、低转化、竞品）
  • 广告系列级别 vs 广告组级别负定向策略
  • 负精确匹配 vs 负短语匹配决策框架
  • 负关键词实施后的预估节省计算
  • 持续的负关键词管理工作流程

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。

搜索词效率分层

基于转化效率的四个层级：

  1. 高转化核心关键词： 直接推动销售。保护并增加竞价。
  2. 低频精准关键词： 有一定转化，点击量低。继续观察。
  3. 弱相关偶发转化词： 转化低但偶有销售。根据CPC与转化价值评估。
  4. 完全不相关的浪费关键词： 必须立即添加为负。

框架：将搜索词报告中的每个搜索词分类到相应层级。

负精确匹配 vs 负短语匹配逻辑

  • 负精确匹配： 仅阻止精确匹配的搜索词触发广告。
  • 负短语匹配： 阻止包含该词的所有搜索变体。
  • 决策规则： 对单个浪费词使用负精确。对一类不相关搜索使用负短语。
  • 示例："free"作为短语负词会阻止"free shipping"、"buy free"、"totally free" — 捕获所有与"free"相关的浪费。

广告系列级别 vs 广告组级别负策略

  • 广告系列级别负词： 应用于该广告系列下的所有广告组。用于与整个产品线无关的词。
  • 广告组级别负词： 仅影响特定广告组。用于在不同匹配类型间进行微调。
  • 策略示例：
    • 精确匹配广告组：对已单独定位的核心关键词使用负短语
    • 广泛匹配广告组：保持开放以持续发现新搜索词

节省估算模型

预估节省 = 不相关搜索支出 - 潜在损失的转化价值

在实施每个负词前，评估净节省效果。确保负词操作的收益超过潜在损失。

持续管理框架

  • 审查频率： 建议每周审查搜索词报告。
  • 季节性/临时负词： 为季节性促销添加的负词应在促销结束后移除。
  • 关键词收获工作流程： 持续从广泛/自动广告系列"收获"高转化词并升级到精确匹配。

数据来源

  • 用户从亚马逊卖家中心导出搜索词报告（建议：至少14-30天）。
  • 报告包含：搜索词、点击、花费、转化、ACoS。
  • 无直接的卖家中心API连接。

局限性

  • 报告数据的完整性和准确性直接影响分析可靠性。
  • 搜索词报告有约72小时数据延迟。
  • 亚马逊隐藏一些低频搜索词 — 并非所有浪费支出都可见。
  • 效果需要时间显现 — 短期ACoS改善可能不明显。
  • 搜索词意图是动态的 — 现在不相关的词以后可能成为高转化词（季节性、趋势）。需要定期审查。
  • 无法直接连接亚马逊广告仪表板 — 依赖用户提供的数据。

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 Negative Keywords AI skill do?

通过识别和管理负关键词优化亚马逊PPC广告系列。通过消除不相关的搜索词减少广告浪费，同时保护有价值的转化词。

Why use Amazon Negative Keywords on TypingMind?

Because you install it once and use it with any model. Amazon Negative 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 Negative Keywords in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-negative-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 Negative 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 Negative Keywords?

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

Is the Amazon Negative 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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