Skill1.1k repo starsupdated 8d ago
blog-cluster
Blog-cluster generates interconnected content ecosystems around a seed keyword through three stages: semantic analysis of search results to identify related topics, architectural planning of a hub-and-spoke content structure with internal link maps, and sequential execution that writes all posts with embedded cluster context and automatic cross-linking. Use this skill when building comprehensive topic coverage designed to rank for keyword clusters rather than individual terms, particularly for content strategies requiring multiple related articles with coordinated SEO architecture.
Install in Claude Code
Copygit clone --depth 1 https://github.com/AgriciDaniel/claude-blog /tmp/blog-cluster && cp -r /tmp/blog-cluster/skills/blog-cluster ~/.claude/skills/blog-clusterThen start a new Claude Code session; the skill loads automatically.
Definition
SKILL.md
# 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, scorecard, failure handling)
## Cross-references to existing claude-blog skills
| Skill | When this skill calls it |
|-------|--------------------------|
| `/blog strategy` | Upstream planning. `plan --from strategy` consumes its Cluster Build Plan tables. |
| `/blog write` | Per-post execution. Each spoke and the pillar are produced by `blog-write` with a prepended cluster-context block. |
| `/blog chart` | Invoked internally by `blog-write` for inline SVG charts. No direct call from this skill. |
| `/blog image` | Optional hero image generation per post (graceful fallback if `nanobanana-mcp` is not configured). |
| `/blog seo-check` | Recommended after execution for per-post on-page validation. |
| `/blog cannibalization` | Recommended after execution to confirm zero keyword overlap across the cluster. |
| `/blog schema` | Recommended after execution to add `BreadcrumbList`, `ItemList`, and `Article` schema. |
This skill never modifies files belonging to other skills. It calls them via the Task tool or as orchestrated sub-skills.
## Command Routing
1. Parse the user's command to determine the sub-command.
2. If the user typed only `/blog cluster`, ask: "Would you like to **plan** a new cluster or **execute** an existing plan?"
3. Route:
- `plan <keyword>` to the Plan Phase (below)
- `plan --from strategy [path]` to the Strategy Import flow (below)
- `execute [path]`, `build`, or `run` to the Execute Phase (below)
---
## Plan Phase: `/blog cluster plan <seed-keyword>`
Reference: `references/semantic-clustering.md`
### Step 1. Seed keyword expansion
Use WebSearch to expand the seed into a keyword universe of 30 to 50 phrases:
1. Direct search of `<seed>` to capture related searches and "People also ask".
2. Long-tail expansion: `<seed> guide`, `<seed> tips`, `<seed> tools`, `<seed> examples`, `<seed> vs`, `best <seed>`, `how to <seed>`.
3. Question mining: `what is <seed>`, `how does <seed> work`, `why <seed>`, `<seed> for beginners`.
4. Intent variants: add commercial modifiers (best, top, review, comparison, pricing), informational modifiers (guide, tutorial, explained, examples), and transactional modifiers (buy, download, tool, software, service).
5. Year freshness: `<seed> 2026`.
### Step 2. Semantic clustering
Group the expanded keywords using the priority rules in `references/semantic-clustering.md`:
1. **SERP Overlap Analysis** is the primary signal. Two keywords with 5 or more shared top-10 results target the same intent and belong in one post.
2. **Intent Classification** assigns each keyword to informational, commercial, transactional, or navigational.
3. **Entity Mapping** identifies the people, products, frameworks, and organizations Google associates with the topic.
4. **Grouping** combines keywords that share intent and topical proximity. Each group becomes one branch of the hub and spoke.
### Step 3. Cluster architecture design
Reference: `references/cluster-architecture.md`
Build the hub and spoke:
- **Pillar (hub)**: targets the broadest keyword. Word count 2,500 to 4,000. Template `pillar-page`. Links down to every spoke.
- **Spokes**: each targets a long-tail cluster. Word count 1,200 to 1,800. Template auto-selected by intent. Links up to the pillar and across to siblings.
Cluster formation rules:
- 2 to 5 clusters per pillar.
- 2 to 4 spokes per cluster.
- Total: 1 pillar plus 5 to 15 spokes.
- Every spoke targets a unique primary keyword (zero cannibalization).
### Step 4. Internal link matrix
For each spoke `S`:
- `S` to Pillar (always; anchor text uses the pillar's primary keyword).
- Pillar to `S` (always; anchor text uses `S`'s primary keyword).
- `S` to other spokes in the same cluster (2 to 3 links each, contextual anchors).
- `S` to spokes in adjacent clusters (0 to 1 links, only when semantically relevant).
Verify every spoke has at least 3 incoming links. Count total planned interlinks.
### Step 5. Generate output files
All plan and execute artifacts go into a single subdirectory of the current working directory:
```
<cwd>/
└── cluster-<seed-keyword-slug>/
├── cluster-plan.json
├── cluster-map.html
├── pillar-<slug>.md (Execute Phase)
├── <spoke-slug>.md (Execute Phase, one per spoke)
└── cluster-scorecard.md (Execute Phase)
```
#### `cluster-plan.json` schema
```json
{
"seed_keyword": "<seed>",
"generated_at": "YYYY-MM-DDTHH:MM:SSZ",
"pillar": {
"id": "P",
"title": "Title of the pillar",
"pri