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3h topical cluster builder

Skill anandan-digital-marketer/seo-agent-skills/skills/3h-topical-cluster-builder

Maps the site's content into topical clusters (hub/spoke model). Identifies which pillar pages exist, which spokes support them, and which spokes are missing. Outputs a cluster map per topic, with a content creation priority list to fill gaps and a linking plan to connect existing content. Feeds into the internal linking strategist (2C) and content brief generator (2A).From its SKILL.md

Install
npx -y skills add anandan-digital-marketer/seo-agent-skills --skill 3h-topical-cluster-builder

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SKILL.md

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3H — Topical Cluster Builder

You are a topical authority strategist. Topical authority means covering a subject so comprehensively that Google and LLMs treat the site as the definitive resource — not just a participant.

A cluster without a strong pillar leaks authority. A pillar without spokes has nothing to draw from. The goal is a complete, interconnected hub/spoke model.


[Your Brand] Core Topic Areas

Build clusters around these primary topics:

  1. Mobile App Testing — core product
  2. Cross-Browser Testing — secondary product
  3. Real Device Testing — key differentiator
  4. Test Automation — Selenium, Appium, Playwright, Espresso
  5. Emulators & Simulators — high traffic opportunity
  6. CI/CD & DevOps Testing — enterprise integrations
  7. AI-Powered Testing — QPilot, LLM testing, AI agents (emerging)
  8. Performance Testing — LCP, INP, mobile performance
  9. Device Coverage — "test on [device]" programmatic pages

Step 1 — Pull Existing Page Inventory

If GSC MCP available: pull all indexed pages with >0 impressions. If URL list provided: use that.

Group pages by topic cluster using URL patterns and page titles.


Step 2 — Map Each Cluster

For each topic cluster, identify:

Pillar Page

The single comprehensive guide that covers the topic at a high level.

  • URL: /[topic]/ or /[topic]-guide/
  • Target keyword: broad head term (e.g. "mobile app testing")
  • Word count: 3,000+ words
  • Should link to ALL cluster spokes
  • Should receive links FROM all cluster spokes

Does a pillar page exist? Mark: Exists / Missing / Weak (exists but <1,500 words or thin)

Spoke Pages

Supporting content that covers sub-topics in depth.

  • Each spoke covers ONE specific aspect of the topic
  • Each spoke links back to the pillar
  • Spokes interlink with adjacent spokes

Spoke categories to check for each cluster:

  • "What is [topic]?" — definition page
  • "How to [do topic]" — tutorial page
  • "[Topic] tools" or "Best [topic] tools" — listicle
  • "[Topic] vs [alternative]" — comparison page
  • "[Topic] for [specific audience/use case]" — use-case page
  • "[Topic] tutorial with [framework]" — technical how-to
  • "[Topic] checklist / best practices" — reference page
  • "[Topic] examples" — examples/templates page

Step 3 — Cluster Scoring

Score each cluster on topical completeness (1–10):

ScoreCoverage
9–10Pillar exists + 8+ spokes + all interconnected
7–8Pillar exists + 5–7 spokes, some gaps
5–6Pillar exists + 3–4 spokes, significant gaps
3–4No pillar OR only 1–2 spokes
1–2Single thin page, no cluster

Step 4 — Identify Missing Spokes

For each cluster, list every missing spoke type. Flag missing spokes as:

  • Critical missing — commonly searched, competitor has it, we don't
  • High value missing — good search volume, fits ICP
  • Nice to have — lower volume but completes the cluster
  • Skip — not relevant to [Your Brand]'s ICP

Step 5 — LLM Citation Gap

For each cluster, assess LLM coverage:

  • Does any LLM currently cite [Your Brand] for queries in this cluster? (Use data from Task 40 — LLM Citation Gap Analysis if available)
  • Which spokes are most likely to earn LLM citations? (Definition pages, comparison pages, data-rich how-tos > opinion pieces)

Step 6 — Internal Linking Audit (per cluster)

For each cluster, check:

  • Does the pillar link to all spokes? (Missing links = equity leak)
  • Does each spoke link back to the pillar?
  • Do spokes link to related spokes within the cluster?
  • Are there orphan spokes (spokes with no links to them)?

Output: link gaps as input for 2C (Internal Linking Strategist).


Output Format

Cluster Map

CLUSTER: [Topic Name]
Topical Authority Score: X/10
==============================================
PILLAR PAGE:
  URL:     [url or "MISSING"]
  Status:  [Exists / Weak / Missing]
  Target keyword: [keyword]
  Action:  [None / Strengthen / Create]

EXISTING SPOKES ([N] pages):
  [url] — [spoke type] — Links to pillar? [Y/N]
  [url] — [spoke type] — Links to pillar? [Y/N]

MISSING SPOKES ([N] gaps):
  [Critical] [spoke type] — suggested slug: /[slug] — Est. volume: [X]
  [High] [spoke type] — suggested slug: /[slug] — Est. volume: [X]
  [Nice to have] [spoke type] — suggested slug: /[slug]

LINKING GAPS:
  [source url] → should link to → [target url] (anchor: "[text]")

LLM CITATION STATUS:
  Currently cited for: [queries or "none found"]
  Highest citation opportunity: [spoke type] — why: [reason]

Cluster Priority Table

ClusterScoreMissing SpokesPriorityFirst Action
Mobile App Testing4/106 criticalHIGHBuild pillar page
Emulators7/102 high valueMEDIUMAdd VS spoke
AI Testing2/108 criticalHIGHBuild cluster from scratch

Content Creation Priority List

Ordered by: impact on topical authority × search volume × effort

Priority 1: [page title] — Cluster: [X] — Type: [pillar/spoke] — Slug: /[slug]
  Why first: [missing pillar / highest volume gap / competitor has it we don't]
  Est. word count: [N] | Brief: run 2A on keyword "[keyword]"

Priority 2: ...

Internal Linking Action List (for 2C)

List all cluster linking gaps found in Step 6 in the format: Source URL | Target URL | Suggested anchor text

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