Does it provide content templates?

Yes, the skill generates specific titles, recommended word counts, and structural outlines for both pillar pages and supporting cluster articles.

Can it handle large keyword lists?

Yes, it is designed to analyze and categorize large lists of keywords by search intent, volume, and semantic relationship to create a structured hierarchy.

What is the hub-and-spoke model it uses?

It uses a central 'Pillar' page that covers a broad topic and links to multiple 'Cluster' articles that dive deep into specific subtopics, creating a strong internal link network.

How does this skill help with SEO?

It automates the process of grouping keywords into thematic clusters, which helps search engines understand your site's topical authority and improves your rankings.

Is this compatible with Claude Code CLI?

Yes, this is a production-ready skill specifically optimized for the Claude Code command-line interface to enhance its SEO and content planning capabilities.

SEO Keyword Cluster Builder

Name: SEO Keyword Cluster Builder
Author: secondsky

bysecondsky

•

Marketing Automation

Organizes keywords into semantic topic clusters and designs content hub architectures for improved SEO authority.

About

The SEO Keyword Cluster Builder is a specialized skill for Claude Code designed to transform raw keyword research into actionable content strategies. It helps users organize large keyword lists by search intent and semantic similarity, while providing detailed blueprints for pillar pages and cluster content. By mapping out sophisticated internal linking strategies and content roadmaps, this skill enables developers and marketers to build topical authority and improve search engine visibility through structured, siloed site architectures.

Key Features

21 GitHub stars
Semantic keyword clustering by search intent and topic similarity
Detailed content hub and pillar page architecture planning
Strategic internal linking maps with anchor text recommendations
Content priority roadmaps and phased implementation checklists
Support for informational, commercial, and transactional user journeys

Use Cases

Developing a comprehensive content strategy from a raw list of search terms
Restructuring an existing blog or documentation site into a high-authority topic silo
Planning a series of interconnected articles to capture long-tail search traffic

About

Key Features

21 GitHub stars
Semantic keyword clustering by search intent and topic similarity
Detailed content hub and pillar page architecture planning
Strategic internal linking maps with anchor text recommendations
Content priority roadmaps and phased implementation checklists
Support for informational, commercial, and transactional user journeys

Use Cases

Developing a comprehensive content strategy from a raw list of search terms
Restructuring an existing blog or documentation site into a high-authority topic silo
Planning a series of interconnected articles to capture long-tail search traffic