Generate semantic keyword clusters using vector embeddings via TheKeyword API.
npx skills add https://github.com/andginja/keywordskills --skill keyword-clusters
Please help me install this Agent Skill. Skill: keyword-clusters Source: https://github.com/andginja/keywordskills/tree/main/skills/keyword-clusters Command: npx skills add https://github.com/andginja/keywordskills --skill keyword-clusters
This Skill helps users manage and understand large sets of keywords by grouping them into semantically related clusters, making it easier to plan content and identify topic silos.
Use the keyword-clusters skill to browse the top 10 clusters by opportunity score.
High-intent search queries and answers about installing and using this skill.
To organize keywords into semantic groups, you can use automatic clustering based on vector embeddings. This groups related terms together to help you plan content silos and identify pillar pages for your SEO strategy.
Keyword clustering groups large sets of keywords by semantic similarity. It helps build topic clusters by generating AI labels for groups and ranking them by opportunity score to guide your content strategy.
Yes, you need the TheKeyword API for embedding generation and cluster management. This API processes the semantic similarity data required to automatically group your analyzed keywords into organized content silos.
Yes, you can identify pillar pages and supporting content within topic clusters. The system organizes semantic groups and ranks them by opportunity score to help you plan your content silo structure.
The best way to analyze keyword opportunity scores is by generating semantic clusters from your keywords. The system ranks these topic clusters by opportunity score, guiding your content strategy and topic ideation.
You can browse the top 10 keyword clusters by opportunity score using the quick start feature. This ranks your semantic groups to immediately highlight the highest value topic clusters for your content planning.
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