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keyword-clusterer

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Original

English
🇨🇳

Translation

Chinese

Keyword Clusterer

关键词聚类工具

Group keywords by semantic similarity using embeddings - turn a keyword list into an organized content strategy.
利用嵌入技术通过语义相似度对关键词进行分组——将关键词列表转化为有条理的内容策略。

When to Use This Skill

何时使用该工具

  • Content planning - Group keywords into topic clusters
  • Site structure - Map keywords to pages
  • Intent analysis - Categorize by search intent
  • Gap analysis - Find missing keyword themes
  • PPC organization - Group keywords for ad groups
  • 内容规划 - 将关键词分组为主题集群
  • 网站结构搭建 - 将关键词映射到对应页面
  • 意图分析 - 按搜索意图对关键词进行分类
  • 空白分析 - 发现缺失的关键词主题
  • PPC广告管理 - 为广告组分组关键词

What Claude Does vs What You Decide

Claude 负责的工作 vs 需要你决定的事项

Claude DoesYou Decide
Structures analysis frameworksStrategic priorities
Synthesizes market dataCompetitive positioning
Identifies opportunitiesResource allocation
Creates strategic optionsFinal strategy selection
Suggests implementation approachesExecution decisions
Claude 负责由你决定
构建分析框架战略优先级
整合市场数据竞争定位
识别机会资源分配
创建战略选项最终策略选择
建议实施方法执行决策

Dependencies

依赖项

bash
pip install scikit-learn sentence-transformers pandas click
bash
pip install scikit-learn sentence-transformers pandas click

For simpler usage without ML:

若无需机器学习，可简化安装：

pip install click pandas
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pip install click pandas
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Commands

命令

Cluster Keywords

聚类关键词

bash
python scripts/main.py cluster keywords.csv --n-clusters 10
python scripts/main.py cluster keywords.csv --column keyword --n-clusters 15
bash
python scripts/main.py cluster keywords.csv --n-clusters 10
python scripts/main.py cluster keywords.csv --column keyword --n-clusters 15

Find Similar

查找相似关键词

bash
python scripts/main.py similar "content marketing" --count 20
bash
python scripts/main.py similar "content marketing" --count 20

Analyze Intent

分析搜索意图

bash
python scripts/main.py intent keywords.csv --column keyword
bash
python scripts/main.py intent keywords.csv --column keyword

Examples

示例

Example 1: Cluster Keyword Research

示例1：聚类关键词研究成果

bash
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bash
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Input: keywords.csv with 500 keywords

输入：包含500个关键词的keywords.csv

python scripts/main.py cluster keywords.csv --n-clusters 12 --output clustered.csv
python scripts/main.py cluster keywords.csv --n-clusters 12 --output clustered.csv

Output:

输出：

Cluster 1 (45 keywords): "content marketing"

Cluster 1 (45个关键词): "content marketing"

- content marketing strategy

- content marketing strategy

- content marketing tips

- content marketing tips

- how to do content marketing

- how to do content marketing

Cluster 2 (38 keywords): "email marketing"

Cluster 2 (38个关键词): "email marketing"

- email marketing tools

- email marketing tools

- best email marketing software

- best email marketing software

- email campaign tips

- email campaign tips

...

...

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Example 2: Categorize by Intent

示例2：按意图分类

bash
python scripts/main.py intent keywords.csv --column keyword
bash
python scripts/main.py intent keywords.csv --column keyword

Output:

输出：

Intent Analysis

意图分析

──────────────────────

──────────────────────

Informational: 234 (47%)

信息型: 234 (47%)

- how to, what is, guide, tips

- how to, what is, guide, tips

Commercial: 156 (31%)

商业型: 156 (31%)

- best, top, review, compare

- best, top, review, compare

Transactional: 78 (16%)

交易型: 78 (16%)

- buy, price, discount, order

- buy, price, discount, order

Navigational: 32 (6%)

导航型: 32 (6%)

- login, contact, brand names

- login, contact, brand names

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Search Intent Categories

搜索意图分类

IntentSignalsContent Type
Informationalhow, what, why, guideBlog posts, guides
Commercialbest, top, review, vsComparisons, reviews
Transactionalbuy, price, discountProduct pages
Navigational[brand], login, contactLanding pages
意图类型识别信号对应内容类型
信息型how, what, why, guide博客文章、指南
商业型best, top, review, vs对比内容、评测
交易型buy, price, discount产品页面
导航型[品牌名], login, contact着陆页

Clustering Methods

聚类方法

MethodBest ForSpeed
semanticMeaning-based groupingSlower
lexicalWord overlap groupingFaster
intentSearch intent categoriesFast
方法最佳适用场景速度
semantic（语义聚类）基于含义的分组较慢
lexical（词汇聚类）基于词汇重叠的分组较快
intent（意图聚类）按搜索意图分类快速

Skill Boundaries

工具边界

What This Skill Does Well

该工具擅长的工作

  • Structuring strategic analysis
  • Identifying market opportunities
  • Creating strategic frameworks
  • Synthesizing competitive data
  • 构建战略分析框架
  • 识别市场机会
  • 创建战略框架
  • 整合竞争数据

What This Skill Cannot Do

该工具无法完成的工作

  • Replace market research
  • Guarantee strategic success
  • Know proprietary competitor info
  • Make executive decisions
  • 替代市场研究
  • 保证战略成功
  • 知晓竞争对手的专有信息
  • 做出高管决策

Related Skills

相关工具

  • content-repurposer - Create content for clusters
  • lighthouse-audit - Optimize cluster pages
  • content-repurposer - 为聚类内容创建衍生内容
  • lighthouse-audit - 优化聚类页面

Skill Metadata

工具元数据

  • Mode: centaur
yaml
category: seo-tools
subcategory: keyword-research
dependencies: [scikit-learn, sentence-transformers, pandas]
difficulty: intermediate
time_saved: 5+ hours/week
  • 模式: centaur
yaml
category: seo-tools
subcategory: keyword-research
dependencies: [scikit-learn, sentence-transformers, pandas]
difficulty: intermediate
time_saved: 5+ hours/week