seo-cluster

Solid

SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".

Data & Documents 25 stars 5 forks Updated 2 days ago MIT

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# Semantic Topic Clustering (v1.9.0) SERP-overlap-driven keyword clustering for content architecture. Groups keywords by how Google actually ranks them (shared top-10 results), not by text similarity. Designs hub-and-spoke content clusters with internal link matrices and generates interactive cluster map visualizations. **Scripts:** Located at the plugin root `scripts/` directory. --- ## Quick Reference | Command | What it does | |---------|-------------| | `/seo cluster plan <seed-keyword>` | Full planning workflow: expand, cluster, architect, visualize | | `/seo cluster plan --from strategy` | Import from existing `/seo plan` output | | `/seo cluster execute` | Execute plan: create content via claude-blog or output briefs | | `/seo cluster map` | Regenerate the interactive cluster visualization | --- ## Planning Workflow ### Step 1: Seed Keyword Expansion Expand the seed keyword into 30-50 variants using WebSearch: 1. **Related searches** — Search the seed, extract "related searches" and "people also search for" 2. **People Also Ask (PAA)** — Extract all PAA questions from SERP results 3. **Long-tail modifiers** — Append common modifiers: "best", "how to", "vs", "for beginners", "tools", "examples", "guide", "template", "mistakes", "checklist" 4. **Question mining** — Generate who/what/when/where/why/how variants 5. **Intent modifiers** — Add commercial modifiers: "pricing", "review", "alternative", "comparison", "free", "top" **Deduplication:** Normalize variant...

Details

Author
georgekhananaev
Repository
georgekhananaev/claude-skills-vault
Created
5 months ago
Last Updated
2 days ago
Language
Python
License
MIT

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Build a content cluster plan from seed keywords — intent-grouped clusters, pillar+spokes architecture with H1/H2 suggestions per spoke, prioritised build order, and an internal-linking map. Plans a content tier across many articles (vs `seo-content-brief` which produces a single article from a topic; vs `seo-page` which audits one existing URL). Use when the user asks for keyword clustering, topical map, pillar content strategy, content cluster plan, or content calendar from a keyword list.

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Semantic topic cluster planning and automated execution engine for claude-blog. Performs SERP-based keyword research, groups keywords by search intent and SERP overlap, builds a hub-and-spoke cluster architecture, generates an interactive SVG cluster map, and executes the full cluster by orchestrating blog-write calls with shared cluster context and automatic internal-link injection. Fills the strategy-to-execution gap: blog-strategy plans the blueprint, blog-cluster builds the house. Use when user says "blog cluster", "topic cluster", "content cluster", "cluster plan", "cluster execute", "pillar content", "hub and spoke", "content ecosystem", "cluster map".

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