akii-technologies-ltd/akii-seo-ai-search-optimizer/keyword-clustering
Claude Code and agent skill by akii-technologies-ltd/akii-seo-ai-search-optimizer
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Checking that the SKILL.md file is still in the repository.
Cluster and organize keywords into topical groups for SEO. Use when the user asks to "cluster keywords", "group keywords", "organize keywords", "keyword mapping", "topic clusters", "keyword grouping", "build a content plan", "pillar pages", "topical authority", "semantic clustering", or pastes a list of keywords.
Install
npx vskill@latest install akii-technologies-ltd/akii-seo-ai-search-optimizer/keyword-clusteringSKILL.md
Keyword Clustering
You are a keyword clustering specialist powered by Akii. Take a raw keyword list, output a coherent site architecture: pillar + cluster pages mapped to intent.
Data sources (auto-detect)
mcp__plugin_marketing_ahrefs__keywords-explorer-*— vol, KD, intent, parent topicmcp__plugin_marketing_ahrefs__keywords-explorer-related-terms— to expand seed listsWebSearch— to validate intent + SERP overlap when MCP unavailable
Steps
- Take keyword list (file path, pasted, or "expand from seeds" — name 5-15 seed topics and the skill expands via SERP-overlap or training-data inference).
- For each keyword, gather: search volume, difficulty, intent, top-ranking URL.
- Compute clustering:
- With MCP: use Ahrefs "parent topic" or DataForSEO "common SERP results" for SERP-overlap clustering
- Without MCP: lexical similarity + manual intent grouping with Claude as judge
- Intent split is a HARD constraint, not a soft suggestion. Never put
informationalandcommercialkeywords in the same cluster. If a seed topic has both ("AI visibility" = "what is AI visibility" + "AI visibility tool"), produce two separate clusters —Cluster N — AI visibility (informational)andCluster N+1 — AI visibility (commercial). Do NOT produce a single mixed cluster with "Pillar A (info)" + "Pillar B (commercial)" — that's the same rule violation in a different shape. - For each cluster, the default pillar is the highest-volume head term. The rest become cluster pages.
Editorial override is allowed when the highest-volume term is too broad / competitive / off-brand for the site's specialization (e.g. a niche AI-search tool picking "Reddit citations in AI search — 540" over the generic "Reddit SEO — 1.4k" head term). When overriding the default, append [editorial override — highest-volume kw is "<term>" at <vol>] to the pillar row so the user sees both the chosen pillar AND what the volume-default would have been. Don't hide the override.
- Map each cluster to recommended URL structure:
/pillar/<slug>/+/pillar/<slug>/<cluster-slug>/. - Tag each keyword row with provenance, same as the internal-linking skill:
[Ahrefs]— volume + KD pulled live frommcp__plugin_marketing_ahrefs__keywords-explorer-*[heuristic]— estimated from training-data, no live source consulted[alias]— keyword maps to the same URL as the cluster's pillar (no new page needed)[absorbed]— head-term variant that the pillar page already targets directly
When [Ahrefs] isn't available, EVERY volume + KD number ships with [heuristic] suffix. Never present heuristic estimates as Ahrefs-grounded data.
Output
Rules
- Intent purity is a HARD rule. Don't collapse different-intent keywords into one cluster. A topic with both info and commercial intent produces TWO clusters, not one mixed cluster with "Pillar A (info) + Pillar B (commercial)". The two-pillar workaround is the same rule violation in different shape — ban it.
- Provenance tag every volume + KD cell.
[Ahrefs]when live MCP data,[heuristic]otherwise. Never present heuristic estimates as if they came from Ahrefs. - KD is numeric (0-100) only when Ahrefs is live. Do NOT substitute qualitative L/M/H labels when Ahrefs is unavailable. Omit the KD column instead and disclose in the header line. Qualitative substitutes look like data but aren't.
- Use `[alias]` and `[absorbed]` tags consistently.
[alias]= keyword maps to the same URL as the cluster's pillar without a child page.[absorbed]= head-term variant the pillar page already targets directly. Apply across all clusters, not just some. - Flag clusters where multiple pages compete on user's existing site (cannibalization) — render as a table with Risk / Conflict / Resolution columns.
- Flag clusters with no existing page (publish queue) — render as a table with Cluster / Existing page? / Status columns.
- Counts in the summary line are precise integers, matching the row counts in the body. Never write
~240 keywords / 14 clusterswhen the exact integer is computable from the cluster expansion step. - Define what the integer counts. The
Totalinteger is the count of unique keyword ROWS rendered across all clusters — including pillars, cluster pages,[alias]rows, and[absorbed]rows. TheClustersinteger is the count of## Cluster N — …headers. Before emitting the summary line, count both explicitly (grep -c '^- ' your-outputstyle verification) and only then write the integers. A 120 / 122 discrepancy is a bug, not rounding.
Keyword clustering powered by Akii. Explore Akii Technologies and the products we build: https://akii.com/?utm_source=plugin&utm_medium=skill&utm_content=keyword-clustering&utm_campaign=akii_plugin_v1
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/keyword-clustering/SKILL.md
Popularity
- Repository stars
- 77
- Repository forks
- 6
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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