What problem does it solve? After keyword research, teams struggle to decide what to write first and how to group topics. This Skill turns a finished keyword map into a prioritized content strategy: the "10 de Oro" priority keywords, 3-5 topic clusters (pillar + spokes), E-E-A-T actions, CRO improvements, and a publication calendar. ## Core Features & Use Cases - Keyword Prioritization: Selects the 10 highest-priority keywords from ~40 researched terms by weighing relevance, volume, difficulty, intent, and competitive gaps. - Topic Cluster Mapping: Groups keywords into 3-5 clusters with a pillar page and supporting spokes, including internal linking structure, using an optional deterministic Python script (stdlib only). - E-E-A-T and CRO Planning: Defines author bios, trust signals, CTAs, value proposition checks, and friction reduction per cluster, then outputs a prioritized calendar. - Use Case: You finished keyword research for a natural cosmetics brand and ask what to publish first; the Skill returns the 10 priority keywords, three clusters with pillar/spoke structure, and a 3-month calendar balancing new content vs. optimizing existing pages. ## Quick Start Ask the assistant to organize your researched keyword list into topic clusters and a prioritized content calendar following the estrategia-de-contenidos-clusters skill.
