What problem does it solve? Building a topical content ecosystem manually requires keyword research, intent grouping, internal-link planning, and writing a dozen coordinated posts. This Skill automates the full pipeline from one seed keyword to a complete interlinked cluster of published-ready articles. ## Core Features & Use Cases - SERP-Based Semantic Clustering: Expands a seed keyword into 30-50 phrases, groups them by SERP overlap and search intent, and designs a hub-and-spoke architecture with one pillar and 5-15 spokes. - Automated Cluster Execution: Orchestrates sequential blog-write calls with a shared cluster context block, automatic internal-link injection, backward link resolution, and optional hero image generation. - Planning Artifacts and Scorecard: Produces cluster-plan.json, an XSS-safe interactive SVG cluster map, and a post-execution scorecard with cohesion scoring, link audits, and cannibalization checks. - Use Case: Run a plan on the seed keyword "AI marketing for small business" to get a validated 8-post cluster plan, then execute it to generate all interlinked posts with a quality scorecard. ## Quick Start Ask the AI to plan a blog topic cluster for the seed keyword "AI marketing for small business" and then execute the approved plan.
