This analyzes your content for keyword density, identifies entities and semantic relationships, and suggests 20-30 LSI variations to help you avoid over-optimization while building topical depth. It calculates densities for primary and secondary keywords (aiming for that 0.5-1.5% sweet spot), flags stuffing issues, and maps related concepts you might be missing. You get a full breakdown with placement recommendations, entity analysis, and even question-based keywords for featured snippets. Handy when you're trying to optimize content without triggering penalties, though you'll still need to validate the suggestions against your specific niche and actual search data. The entity framework and clustering recommendations are solid if you're building out topic hubs.
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill seo-keyword-strategist