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Keyword Clustering Agent Skill

Cluster keywords by intent and map them to existing or proposed pages with your AI agent.

Run this skill in your agent
>/keyword-clustering

The Keyword Clustering Agent Skill turns a messy keyword list into a page plan.

Your agent sorts keywords, compares intent, and decides which terms belong on the same page. It uses the keyword set, SERP context, and your site context to recommend page groups.

You get a content map: which keywords belong together, which pages should target them, where existing pages fit, and where cannibalization might become a problem.

What this skill helps your agent do

  • Group keywords by intent, SERP similarity, and page type.
  • Separate terms that look similar but need different pages.
  • Map clusters to existing URLs when they fit.
  • Recommend new pages when no current page matches the search intent.
  • Flag weak, off-strategy, or do-not-target keywords.
  • Suggest saved keyword tags only after user confirmation.

When to use it

Use this skill when you already have keywords but do not yet have a content plan.

It helps when a keyword export is too large to sort by hand, when multiple pages might compete for the same intent, or when you need to turn research into page briefs.

What you get back

Your agent should return clusters, primary keywords, secondary keywords, search intent, page targets, priorities, and notes about cannibalization or consolidation.

How to get the best result

  • Provide a keyword list, saved keyword tag, Search Console export, seed topic, or target domain.
  • Share existing pages if you want the agent to map keywords to current URLs.
  • Ask the agent to check SERP overlap for important borderline terms.
  • Keep final tag changes user-approved.

Use it with OpenSEO MCP

Set up OpenSEO MCP so your agent can read saved keywords, inspect SERPs, and use OpenSEO project context while clustering.

Read the actual skill

The source SKILL.md lives on GitHub: