seo-cluster

Group seed keywords into SERP-aware hub-and-spoke clusters with JSON and MD outputs.

11|4|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/kabde/seo-skills --skill seo-cluster-kabde
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-cluster
Source: https://github.com/kabde/seo-skills/tree/main/skills/seo-cluster
Command: npx skills add https://github.com/kabde/seo-skills --skill seo-cluster-kabde

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

SERP-overlap-driven topic clustering helps content teams design hub-and-spoke architectures, aligning content to real search results rather than keyword text similarity.

Core Features & Use Cases

  • SERP-based grouping: cluster keywords by shared SERP results to determine post assignments (pillar vs spokes).
  • Hub-and-spoke planning: define a pillar page and multiple spokes with internal-link matrices and visualization outputs.
  • Execution-ready outputs: generate cluster-map visualization and a machine-readable cluster-plan.

Quick Start

Provide a seed keyword or URL and run the clustering workflow to generate a pillar, clusters, and a cluster-map.

Frequently Asked Questions about seo-cluster

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

FAQPage Schema
What is SERP overlap topic clustering for SEO content?

SERP overlap topic clustering groups keywords by shared search engine results pages to design hub-and-spoke content architectures, aligning pages to real search results rather than just keyword text similarity.

How do I create a hub-and-spoke content plan from seed keywords?

You can create a hub-and-spoke content plan by providing seed keywords to a clustering workflow, which applies SERP overlap scoring to group them into a pillar page and supporting spoke clusters with an internal-link matrix.

What outputs do I get from a SERP-driven topic cluster workflow?

A SERP-driven topic cluster workflow generates a cluster-map visualization for review, a machine-readable cluster-plan JSON for execution, and a human-readable plan MD document outlining the pillar and spoke assignments.

When do I need SERP overlap scoring instead of keyword text similarity for content architecture?

You need SERP overlap scoring when designing content architecture to ensure pages align with actual search engine results and user intent, preventing keyword cannibalization and improving internal-linking structures.

Can I use topic clustering for internal linking and pillar page assignment?

Yes, topic clustering defines a pillar page and multiple spoke pages, generating an internal-link matrix that maps the relationships between clusters to guide your internal-linking strategy.

Does SERP-aware content planning work with just a single seed keyword?

Yes, you can provide a single seed keyword or URL to run the clustering workflow, which will expand it into a full pillar and spoke cluster plan based on SERP overlap data.