keyword-clusterer

v2026.09.24

Cluster keywords by semantic similarity and intent. Use when: organizing keyword research; creating content pillars; mapping keywords to pages; identifying content gaps; grouping search intent

GitHub
安装命令
npx skhub add guia-matthieu/keyword-clusterer
Markdown
SKILL.md

Keyword Clusterer

Group keywords by semantic similarity using embeddings - turn a keyword list into an organized content strategy.

When to Use This Skill

  • 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

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures analysis frameworksStrategic priorities
Synthesizes market dataCompetitive positioning
Identifies opportunitiesResource allocation
Creates strategic optionsFinal strategy selection
Suggests implementation approachesExecution decisions

Dependencies

pip install scikit-learn sentence-transformers pandas click
# For simpler usage without ML:
pip install click pandas

Commands

Cluster Keywords

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

Find Similar

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

Analyze Intent

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

Examples

Example 1: Cluster Keyword Research

# Input: keywords.csv with 500 keywords
python scripts/main.py cluster keywords.csv --n-clusters 12 --output clustered.csv

# Output:
# Cluster 1 (45 keywords): "content marketing"
#   - content marketing strategy
#   - content marketing tips
#   - how to do content marketing
#
# Cluster 2 (38 keywords): "email marketing"
#   - email marketing tools
#   - best email marketing software
#   - email campaign tips
# ...

Example 2: Categorize by Intent

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

# Output:
# Intent Analysis
# ──────────────────────
# Informational: 234 (47%)
#   - how to, what is, guide, tips
# Commercial: 156 (31%)
#   - best, top, review, compare
# Transactional: 78 (16%)
#   - buy, price, discount, order
# Navigational: 32 (6%)
#   - login, contact, brand names

Search Intent Categories

IntentSignalsContent Type
Informationalhow, what, why, guideBlog posts, guides
Commercialbest, top, review, vsComparisons, reviews
Transactionalbuy, price, discountProduct pages
Navigational[brand], login, contactLanding pages

Clustering Methods

MethodBest ForSpeed
semanticMeaning-based groupingSlower
lexicalWord overlap groupingFaster
intentSearch intent categoriesFast

Skill Boundaries

What This Skill Does Well

  • Structuring strategic analysis
  • Identifying market opportunities
  • Creating strategic frameworks
  • Synthesizing competitive data

What This Skill Cannot Do

  • Replace market research
  • Guarantee strategic success
  • Know proprietary competitor info
  • Make executive decisions

Related Skills

Skill Metadata

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

此技能尚未发布标签。

版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/seo-tools/keyword-clusterer

默认分支

main

最新提交

a69bf67

Tree SHA

55b3324