blog-cluster

Solid

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".

AI & Automation 923 stars 190 forks Updated 3 days ago MIT

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Quality Score: 99/100

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99
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100
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50
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100
Description 5%
100

Skill Content

# Blog Cluster (Semantic Topic Cluster Engine) Plans and executes entire interlinked content ecosystems from a single seed keyword. Three layers: Semantic Clustering (the brain), Cluster Architecture (the structure), and Execution Engine (the machine). > Adapted from the **semantic-cluster-engine** submission by Lutfiya Miller > (winner, AI Marketing Hub Pro Challenge, March 2026, 95/100 Exemplary). > Original repository: https://github.com/Drfiya/semantic-cluster-engine > This port keeps the Plan + Execute architecture and the cluster context > innovation, removes brand-specific (ScienceExperts.ai) styling and image > prompts, and routes through claude-blog's existing sub-skills. ## Commands | Command | What it does | |---------|--------------| | `/blog cluster` | Interactive. Asks whether to plan or execute. | | `/blog cluster plan <seed-keyword>` | SERP-based semantic analysis. Outputs cluster plan + map. | | `/blog cluster plan --from strategy [path]` | Imports existing `blog-strategy` cluster build plan and validates against SERP data. | | `/blog cluster execute [path-to-plan]` | Sequential `blog-write` calls with cluster context and auto-interlinks. | ## Key references (load on demand) - `references/semantic-clustering.md` (SERP overlap analysis, intent classification, keyword universe expansion) - `references/cluster-architecture.md` (hub-and-spoke specs, schema strategy, link-density rules) - `references/execution-workflow.md` (execution order, context injection...

Details

Author
AgriciDaniel
Repository
AgriciDaniel/claude-blog
Created
3 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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