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.