One-click install
npx skills add https://github.com/rakibulism/agent-skills-os --skill seo-cluster-rakibulism
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-cluster
Source: https://github.com/rakibulism/agent-skills-os/tree/main/skills/seo-cluster
Command: npx skills add https://github.com/rakibulism/agent-skills-os --skill seo-cluster-rakibulism

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of turning scattered keywords into a coherent content architecture by clustering topics based on real Google SERP overlap instead of superficial text similarity. It helps you decide which terms should become one page, which should become adjacent supporting pages, and how to connect them with internal links.

Core Features & Use Cases

  • SERP-based keyword clustering: Groups keywords by shared top-ranking URLs so your content plan reflects search engine intent.
  • Hub-and-spoke architecture design: Selects a pillar page, assigns spoke posts, and maps cross-links to reduce cannibalization.
  • Interactive planning outputs: Produces cluster plans, link matrices, scorecards, and HTML visualizations for execution and review.
  • Use case: A marketing team can feed in a seed keyword or existing SEO strategy and get a structured, publish-ready content cluster plan with briefs or generated articles.

Quick Start

Use the seo-cluster skill to create a SERP-based content cluster plan from this seed keyword.

Frequently Asked Questions about seo-cluster

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

FAQPage Schema
How do I group keywords for SEO based on SERP overlap instead of text similarity?

SERP-based keyword clustering groups search terms by analyzing shared top-ranking URLs rather than superficial text matching. This method reflects actual search engine intent, ensuring your content architecture aligns with how Google ranks pages.

What is the best way to design a pillar page and internal linking strategy for content clusters?

Build hub-and-spoke architecture by selecting a pillar page, assigning spoke posts, and mapping cross-links. This internal linking design connects clustered topics while reducing keyword cannibalization across your site.

How do I analyze keyword cannibalization when planning content architecture?

Keyword cannibalization analysis identifies when multiple terms compete for the same SERP positions. By clustering keywords via SERP overlap, you can map distinct terms to separate spoke pages and prevent internal ranking competition.

Can I export content cluster plans into formats like JSON, markdown, and HTML?

Yes, interactive planning outputs export cluster plans, link matrices, and scorecards as JSON, markdown, and HTML. These artifacts provide structured, publish-ready content briefs and visualizations for immediate execution.

When should I use SERP-driven topic clusters over traditional keyword grouping?

Use SERP-driven topic clusters when search intent dictates page structure rather than lexical similarity. This approach is necessary when planning pillar pages and internal links to ensure your content matches real search engine expectations.

Does SEO clustering work for planning content architecture from a single seed keyword?

Yes, you can generate a structured content cluster plan from a single seed keyword. The process requires SERP expansion and intent classification to map a complete hub-and-spoke network of supporting terms.