skillfed

keyword-cluster

Transform raw keywords into a structured content architecture by clustering them into pillar topics and supporting spoke content. This skill groups related search terms to reveal content gaps and opportunities, helping you plan cohesive SEO strategies that rank for keyword families rather than isolated terms.

keyword-cluster transforms raw keywords into a structured content architecture by clustering them into pillar topics and supporting spoke content. Start by entering your seed keywords, and the skill groups related search terms to reveal content gaps and opportunities. This helps you plan cohesive SEO strategies that rank for keyword families rather than isolated terms, organizing your content around topical authority hubs.

AI-generated summary based on this skill's SKILL.md

641 111 MIT updated by indranilbanerjee

Install

indranilbanerjee/digital-marketing-pro/keyword-cluster · repository language: Python

CLI (skillfed)coming soon
git clone https://github.com/indranilbanerjee/digital-marketing-pro
cp -r digital-marketing-pro/skills/keyword-cluster ~/.claude/skills/keyword-cluster

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How do I build a content cluster strategy with keyword-cluster?

keyword-cluster transforms raw keywords into a structured content architecture by clustering them into pillar topics and supporting spoke content. Start by entering your seed keywords, and the skill groups related search terms to reveal content gaps and opportunities. This helps you plan cohesive SEO strategies that rank for keyword families rather than isolated terms, organizing your content around topical authority hubs.

What is pillar and spoke content architecture?

keyword-cluster implements pillar-and-spoke architecture by designating broad, high-authority topics as pillars and organizing narrower, related keywords as spokes that link back to them. This structure helps establish topical authority by creating internal-link recommendations that connect spoke content to pillar pages, strengthening your site's relevance for entire keyword families.

How does keyword-cluster detect cannibalizing pages by keyword?

keyword-cluster identifies keyword cannibalization by analyzing which pages target overlapping or duplicate search terms. It flags competing content that dilutes ranking potential and recommends consolidation or differentiation strategies. By detecting and resolving cannibalization across your content pages, you ensure each keyword is owned by a single, authoritative page.

Can keyword-cluster organize keywords by search intent?

Yes. keyword-cluster organizes and prioritizes keywords by search intent and relevance, grouping informational, transactional, and navigational queries separately. This intent-based organization ensures your content strategy aligns with what users actually want to find, improving both ranking potential and conversion outcomes.

How does keyword-cluster support programmatic SEO planning?

keyword-cluster enables programmatic SEO content rollout by clustering keywords into scalable content templates and applying quality scoring to prioritize production. It helps you plan large-scale content initiatives by identifying which keyword clusters offer the highest ROI and providing a structured roadmap for systematic content creation.

What does keyword-cluster include for content hub design?

keyword-cluster designs a topical authority hub by mapping pillar pages to spoke keywords and generating internal-link recommendations. It provides a complete content hub architecture that shows how pages should connect, helping you build sites that search engines recognize as authoritative on specific topics.

SKILL.md

rendered from the published skill — quoted content, verbatim

/digital-marketing-pro:keyword-cluster

Purpose

Take a set of seed keywords and produce a publication-ready cluster plan: pillar pages with their spokes, intent-grouped, prioritised by an opinionated scoring formula, with an internal-link map and a four-gate quality scorecard. Output is structured for direct hand-off to /digital-marketing-pro:content-brief or /digital-marketing-pro:content-engine.

Context efficiency

Heavy skill. Grep before Read any referenced file, then Read only matched ranges with offset + limit. List ${CLAUDE_PLUGIN_DATA}/<brand>/ before opening files. On re-invocation mid-session, skip files already in context.

When to Use

  • Onboarding a new content programme — turn a 20-keyword brief into a structured topical hub
  • Auditing an existing

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skills/keyword-cluster/SKILL.md

Related skills

Tags

content-architecture topic-authority internal-linking keyword-organization cannibalization-detection seo-planning content-strategy pillar-spoke-model topical-clustering