How does the Keyword Cluster Builder expand seed keywords?

The skill applies question, comparative, intent, and audience-based modifiers to generate a list of over 50-100 related keywords from a single seed term.

Does this skill provide a formatted report?

Yes, it generates a structured Keyword Cluster Report that includes the seed keyword, total counts, and a detailed breakdown of each cluster with its intent and funnel stage.

Can I use this for content pillar planning?

Yes, the skill is specifically designed to identify high-volume pillar terms and group supporting keywords into clusters to improve site topical authority.

How does it classify search intent?

It uses pre-defined rules to tag keywords as Informational, Commercial, Transactional, or Navigational based on the modifiers and context of the query.

Keyword Cluster Builder

Name: Keyword Cluster Builder
Author: involvex

byinvolvex

Marketing Automation

Generates comprehensive keyword clusters and content strategies by expanding seed topics and mapping user intent.

About

The Keyword Cluster Builder is a specialized skill designed to streamline SEO content planning by transforming single seed keywords into structured topic clusters. It utilizes advanced expansion techniques—including question, comparative, and audience-based modifiers—to identify high-value opportunities. By categorizing keywords by search intent and mapping them to funnel stages, it helps users build data-driven pillar content strategies and identify critical gaps in their existing content coverage, all within the Claude Code environment.

Key Features

Intent classification for Informational, Commercial, Transactional, and Navigational queries
Semantic clustering based on topic similarity
0 GitHub stars
Pillar-and-cluster structural mapping for site architecture
Automated keyword expansion using semantic modifiers
Standardized reporting with funnel stage and volume estimations

Use Cases

Building a content calendar for a new product launch
Identifying high-intent keywords for marketing landing pages
Mapping a pillar-and-spoke SEO strategy for technical documentation

About

Key Features

Intent classification for Informational, Commercial, Transactional, and Navigational queries
Semantic clustering based on topic similarity
0 GitHub stars
Pillar-and-cluster structural mapping for site architecture
Automated keyword expansion using semantic modifiers
Standardized reporting with funnel stage and volume estimations

Use Cases

Building a content calendar for a new product launch
Identifying high-intent keywords for marketing landing pages
Mapping a pillar-and-spoke SEO strategy for technical documentation