copywriting
Marketing copy for homepages, landing pages, pricing pages, and other conversion-focused web pages.
keyword-cluster-architect
Map 50-200+ keywords into topical clusters for SEO domination. Build content roadmaps for topical authority. Triggers on: "keyword research", "keyword clustering", "topical authority", "keyword map", "keyword strategy", "content roadmap for SEO", "keyword grouping", "topic clusters", "SEO keyword...
Full skill instructions
Map 50-200+ keywords into topical clusters grouped by search intent. Build a content roadmap for dominating a topic with hub-and-spoke architecture. Google rewards topical authority — this skill builds the strategic map that tells you exactly what content to create and in what order.
S3: Blog & SEO — This is the strategic planning layer FOR blog content. Before writing individual posts, you need a map of the entire keyword landscape organized into clusters.
affiliate-blog-builder — to know WHICH articles to writemonopoly-niche-finder — to map the keyword universe for the winning nicheniche: string # REQUIRED — the topic to cluster
# e.g., "AI video tools", "email marketing for SaaS"
seed_keywords: string[] # OPTIONAL — starting keywords to expand from
# Default: auto-generated from niche
depth: string # OPTIONAL — "quick" (50 keywords) | "standard" (100) | "deep" (200+)
# Default: "standard"
affiliate_products: string[] # OPTIONAL — products you promote (to prioritize commercial keywords)
# Default: none
Chaining from S1 monopoly-niche-finder: Use monopoly_niche.intersection as the niche input.
If not provided, generate 5-10 seed keywords from the niche:
For each seed, use web_search to discover related keywords:
"[seed keyword]" — note related searches, People Also Ask"[seed keyword] guide" OR "[seed keyword] tutorial" — informational variants"best [seed keyword]" OR "[seed keyword] review" — commercial variantsCollect 50-200+ unique keywords depending on depth.
Read shared/references/seo-strategy.md for clustering methodology.
Classify each keyword:
Group keywords that share the same search intent (would be answered by the same page):
Cluster: "[Main Topic]"
Type: [I/C/T]
Hub keyword: [highest volume keyword]
Supporting keywords:
- [keyword 1] — [est. volume]
- [keyword 2] — [est. volume]
Content type: [blog post / comparison / review / tutorial / landing page]
Priority: [1-5 based on volume × intent × competition]
Organize clusters into a hub-and-spoke map:
output_schema_version: "1.0.0"
keyword_clusters:
niche: string
total_keywords: number
total_clusters: number
hub:
keyword: string
cluster_name: string
content_type: string
priority: number
clusters:
- name: string
intent: string # "informational" | "commercial" | "transactional"
hub_keyword: string
keywords: string[]
content_type: string # "blog" | "comparison" | "review" | "tutorial" | "landing"
priority: number # 1-5
estimated_volume: string
content_roadmap:
total_articles: number
publishing_cadence: string
priority_order: string[] # Cluster names in order to write
target_keywords: string[] # Flat list of all keywords for chaining
chain_metadata:
skill_slug: "keyword-cluster-architect"
stage: "blog"
timestamp: string
suggested_next:
- "affiliate-blog-builder"
- "content-moat-calculator"
- "comparison-post-writer"
- "landing-page-creator"
## Keyword Cluster Map: [Niche]
### Overview
- **Total keywords:** XXX
- **Clusters:** XX
- **Hub topic:** [main hub]
- **Content pieces needed:** XX articles
### Hub & Spoke Map
[HUB: Main Topic]
/ | | \
[Spoke] [Spoke] [Spoke] [Spoke]
| | | |
[Sub] [Sub] [Sub] [Sub]
### Clusters by Priority
#### Priority 1: [Cluster Name] (Commercial Intent)
- **Hub keyword:** [keyword] — [volume]
- **Content type:** [comparison / review]
- **Keywords:** [list]
- **Article idea:** [specific title]
#### Priority 2: [Cluster Name] (Informational Intent)
[same structure]
[Continue for all clusters]
### Content Roadmap
| Week | Cluster | Article | Intent | Priority |
|---|---|---|---|---|
| 1 | [cluster] | [title] | C | 1 |
| 2 | [cluster] | [title] | C | 1 |
| 3 | [cluster] | [title] | I | 2 |
### Next Steps
- Run `content-moat-calculator` to estimate effort for topical authority
- Run `affiliate-blog-builder` for Priority 1 articles
- Run `comparison-post-writer` for commercial clusters
monopoly-niche-finder first."Example 1: "Map keywords for AI video tools" → Seeds: "best AI video tools", "AI video generator", "HeyGen review". Expand to 100+ keywords. Cluster: "AI video reviews" (C), "how to make AI videos" (I), "AI video pricing" (T), "AI video vs traditional" (C). Hub: "Best AI Video Tools 2025".
Example 2: "Keyword strategy for my affiliate blog about email marketing" → Deep keyword research. Clusters: "email marketing platforms" (C), "email automation tutorials" (I), "email marketing pricing comparison" (T), "email deliverability guides" (I).
Example 3: "Plan my content roadmap" (after monopoly-niche-finder) → Pick up niche from chain. Map 100+ keywords in that intersection niche. Prioritize clusters by revenue potential.
affiliate-blog-builder (S3) — which articles to write and target keywordscomparison-post-writer (S3) — commercial clusters become comparison articlescontent-moat-calculator (S3) — keyword count informs moat estimationlanding-page-creator (S4) — transactional clusters become landing pagesinternal-linking-optimizer (S6) — cluster structure defines link architecturemonopoly-niche-finder (S1) — niche to cluster keywords forcontent-pillar-atomizer (S2) — content pillars suggest keyword areasseo-audit (S6) — current ranking data reveals keyword gapsseo-audit (S6) reveals ranking gaps in existing clusters → add keywords and new content to fill gapsBefore delivering output, verify:
Any NO → rewrite before delivering.
shared/references/seo-strategy.md — Topical authority, clustering methodology, hub-and-spokeshared/references/affiliate-glossary.md — Terminologyshared/references/flywheel-connections.md — Master connection mapMarketing copy for homepages, landing pages, pricing pages, and other conversion-focused web pages.
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