cluster-keywords

Analyze classified keyword data to create content clusters with URL mappings and priority scores.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/seohow/seo --skill cluster-keywords
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cluster-keywords
Source: https://github.com/seohow/seo/tree/main/skills/strategy/cluster-keywords
Command: npx skills add https://github.com/seohow/seo --skill cluster-keywords

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of organizing classified keyword data into actionable content roadmaps, saving time and reducing guesswork in SEO planning.

Core Features & Use Cases

  • Keyword Clustering: Groups keywords by intent and topic to facilitate content structuring.
  • URL Mapping & Prioritization: Proposes target URLs and ranks clusters based on business goals and keyword importance.
  • Use Case: For an e-commerce site with thousands of search terms, generate an organized cluster map to inform content creation and site architecture.

Quick Start

Input your classified keyword list along with search volumes and intents, then run the clustering process to receive a detailed content strategy outline.

Frequently Asked Questions about cluster-keywords

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is keyword clustering and how does it help SEO content strategy?

By mapping keyword clusters to target URLs and scoring them based on business goals, you can prioritize high-value content creation and organize site architecture logically across multiple search intents.

How do I map classified keywords to target URLs for content planning?

You can map classified keywords to URLs by processing your keyword list with search volumes and intents through a clustering tool, which outputs proposed target URLs and priority scores for each group.

Can I use keyword clustering for a large e-commerce site with thousands of search terms?

Yes, this approach handles large-scale data, organizing thousands of e-commerce search terms into structured content clusters that inform site architecture and content creation.

What is the best way to group keywords by search intent for URL planning?

The most effective approach is to analyze classified keyword data to generate structured content clusters, mapping each group to specific URLs and assigning priority scores based on business goals.

Do I need to classify search intent before clustering keywords?

Yes, you need to provide a classified keyword list with search volumes and intents, as the clustering process relies on this pre-classified data to generate accurate content clusters and URL mappings.