What problem does it solve? Keyword grouping by text similarity often produces content plans where pages compete with each other or miss how Google actually ranks topics. This Skill clusters keywords by real SERP overlap (shared top-10 results), then designs a hub-and-spoke content architecture with internal link matrices and an interactive visualization. ## Core Features & Use Cases - SERP-Overlap Clustering: Expands a seed keyword into 30-50 variants, compares shared top-10 organic results between keyword pairs, and merges or separates keywords using defined overlap thresholds. - Hub-and-Spoke Architecture: Selects a pillar page, groups spokes into 2-5 clusters, assigns intent-based templates and word count targets, and generates a bidirectional internal link matrix as JSON. - Execution & Visualization: Generates an interactive cluster-map.html, optionally executes content creation via the claude-blog skill, or outputs content briefs, plus a post-execution quality scorecard. - Use Case: A content strategist enters a seed keyword like "crm software" and receives a full cluster plan: one pillar page, several spoke clusters, a link matrix, and a visual map showing which posts to write first. ## Quick Start Ask the assistant to run a topic cluster plan for your seed keyword, for example: create a content cluster plan for "email marketing software".
