From keywordskills
Manage keyword clusters — semantic groups of related keywords. Generate clusters, browse topics, drill into cluster details, and plan content silos. Use when the user asks about keyword grouping, topic clusters, content silos, or thematic keyword organization.
How this skill is triggered — by the user, by Claude, or both
Slash command
/keywordskills:keyword-clustersThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Clusters group semantically similar keywords into topics using vector embeddings. Each cluster has aggregate metrics and an AI-generated label (Ultra plan).
Clusters group semantically similar keywords into topics using vector embeddings. Each cluster has aggregate metrics and an AI-generated label (Ultra plan).
thekeyword-setup first for auth and configurationClusters generate automatically after keyword analysis when 10+ un-clustered keywords accumulate.
GET /api/v1/clusters?sort=-total_volume&limit=25
Sort options: total_volume, keyword_count, opportunity_score, avg_difficulty, created_at. Prefix - for descending.
Response fields per cluster: id, label, ai_label, keyword_count, total_volume, avg_search_volume, avg_difficulty, avg_cpc, pct_rising, opportunity_score, top_keywords[].
GET /api/v1/clusters/{id}?limit=50
Returns cluster metadata plus paginated keywords sorted by search volume.
POST /api/v1/clusters/generate
Body: { "force": false }
force: false — Incremental: only clusters new un-clustered keywordsforce: true — Full re-cluster: deletes existing clusters, starts freshReturns HTTP 202 — runs asynchronously.
GET /api/v1/clusters?sort=-opportunity_score&limit=10GET /api/v1/clusters?sort=-total_volumeGET /api/v1/clusters/{id}?limit=50GET /api/v1/clusters?sort=-opportunity_score&limit=5GET /api/v1/clusters/{id}npx claudepluginhub andginja/keywordskills --plugin keywordskillsClusters raw keyword lists into SEO topic groups (pillar + cluster pages) by intent, using Ahrefs data or heuristic grouping.
Maps 50-200+ keywords into topical clusters grouped by search intent for SEO content strategy and topical authority. Use before building affiliate blogging content.
Builds a content cluster plan from seed keywords using SERP overlap clustering, producing pillar+spokes architecture with H1/H2 suggestions and internal-linking map.