keyword-cluster-architect

Name: keyword-cluster-architect
Author: Affitor

5installs184forks

How to install keyword-cluster-architect?

affitor/affiliate-skills/keyword-cluster-architect

$npx -y skills add Affitor/affiliate-skills --skill keyword-cluster-architect

Installs into the current project.

Summary

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 cluste

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SKILL.md

1	# Keyword Cluster Architect
2
3	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.
4
5	## Stage
6
7	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.
8
9	## When to Use
10
11	- User wants to plan SEO content strategy for a niche
12	- User asks about keyword research, clustering, or topical authority
13	- User says "keyword", "SEO plan", "content roadmap", "topic cluster", "hub and spoke"
14	- Before running `affiliate-blog-builder` — to know WHICH articles to write
15	- After `monopoly-niche-finder` — to map the keyword universe for the winning niche
16
17	## Input Schema
18
19	```yaml
20	niche: string # REQUIRED — the topic to cluster
21	# e.g., "AI video tools", "email marketing for SaaS"
22
23	seed_keywords: string[] # OPTIONAL — starting keywords to expand from
24	# Default: auto-generated from niche
25
26	depth: string # OPTIONAL — "quick" (50 keywords) \| "standard" (100) \| "deep" (200+)
27	# Default: "standard"
28
29	affiliate_products: string[] # OPTIONAL — products you promote (to prioritize commercial keywords)
30	# Default: none
31	```
32
33	Chaining from S1 monopoly-niche-finder: Use `monopoly_niche.intersection` as the `niche` input.
34
35	## Workflow
36
37	### Step 1: Generate Seed Keywords
38
39	If not provided, generate 5-10 seed keywords from the niche:
40	- Product-focused: "[product] review", "best [category]"
41	- Problem-focused: "how to [solve problem]", "[problem] solution"
42	- Comparison: "[product A] vs [product B]", "alternatives to [product]"
43	- Tutorial: "how to use [product]", "[product] tutorial"
44
45	### Step 2: Expand Keywords
46
47	For each seed, use `web_search` to discover related keywords:
48	1. Search: `"[seed keyword]"` — note related searches, People Also Ask
49	2. Search: `"[seed keyword] guide" OR "[seed keyword] tutorial"` — informational variants
50	3. Search: `"best [seed keyword]" OR "[seed keyword] review"` — commercial variants
51
52	Collect 50-200+ unique keywords depending on `depth`.
53
54	### Step 3: Classify by Intent
55
56	Read `shared/references/seo-strategy.md` for clustering methodology.
57
58	Classify each keyword:
59	- Informational (I): Learning, how-to, what-is → blog posts, tutorials
60	- Commercial (C): Comparing, evaluating, reviewing → comparison posts, reviews
61	- Transactional (T): Ready to buy, pricing, discount → landing pages, deal pages
62	- Navigational (N): Brand-specific, login → skip (not your traffic to capture)
63
64	### Step 4: Cluster by Topic
65
66	Group keywords that share the same search intent (would be answered by the same page):
67
68	```
69	Cluster: "[Main Topic]"
70	Type: [I/C/T]
71	Hub keyword: [highest volume keyword]
72	Supporting keywords:
73	- [keyword 1] — [est. volume]
74	- [keyword 2] — [est. volume]
75	Content type: [blog post / comparison / review / tutorial / landing page]
76	Priority: [1-5 based on volume × intent × competition]
77	```
78
79	### Step 5: Build Content Roadmap
80
81	Organize clusters into a hub-and-spoke map:
82
83	1. Identify the hub page (broadest, highest-volume cluster)
84	2. Connect spoke pages (specific clusters that link back to hub)
85	3. Prioritize by: commercial intent first (revenue), then informational (traffic)
86	4. Estimate effort: number of articles needed, suggested publishing cadence
87
88	### Step 6: Self-Validation
89
90	- [ ] Clusters are based on actual search data, not guesses
91	- [ ] Each cluster has a clear search intent (I, C, or T)
92	- [ ] Hub-and-spoke structure is logical (hub is broad, spokes are specific)
93	- [ ] Priority ordering makes business sense (revenue-driving content first)
94	- [ ] Total content pieces are realistic for user's capacity
95
96	## Output Schema
97
98	```yaml
99	output_schema_version: "1.0.0"
100	keyword_clusters:
101	niche: string
102	total_keywords: number
103	total_clusters: number
104
105	hub:
106	keyword: string
107	cluster_name: string
108	content_type: string
109	priority: number

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keyword-cluster-architect

5installs184forks

View on GitHub

How to install keyword-cluster-architect?

affitor/affiliate-skills/keyword-cluster-architect

$npx -y skills add Affitor/affiliate-skills --skill keyword-cluster-architect

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Keyword Cluster Architect
2
3	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.
4
5	## Stage
6
7	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.
8
9	## When to Use
10
11	- User wants to plan SEO content strategy for a niche
12	- User asks about keyword research, clustering, or topical authority
13	- User says "keyword", "SEO plan", "content roadmap", "topic cluster", "hub and spoke"
14	- Before running `affiliate-blog-builder` — to know WHICH articles to write
15	- After `monopoly-niche-finder` — to map the keyword universe for the winning niche
16
17	## Input Schema
18
19	```yaml
20	niche: string # REQUIRED — the topic to cluster
21	# e.g., "AI video tools", "email marketing for SaaS"
22
23	seed_keywords: string[] # OPTIONAL — starting keywords to expand from
24	# Default: auto-generated from niche
25
26	depth: string # OPTIONAL — "quick" (50 keywords) \| "standard" (100) \| "deep" (200+)
27	# Default: "standard"
28
29	affiliate_products: string[] # OPTIONAL — products you promote (to prioritize commercial keywords)
30	# Default: none
31	```
32
33	Chaining from S1 monopoly-niche-finder: Use `monopoly_niche.intersection` as the `niche` input.
34
35	## Workflow
36
37	### Step 1: Generate Seed Keywords
38
39	If not provided, generate 5-10 seed keywords from the niche:
40	- Product-focused: "[product] review", "best [category]"
41	- Problem-focused: "how to [solve problem]", "[problem] solution"
42	- Comparison: "[product A] vs [product B]", "alternatives to [product]"
43	- Tutorial: "how to use [product]", "[product] tutorial"
44
45	### Step 2: Expand Keywords
46
47	For each seed, use `web_search` to discover related keywords:
48	1. Search: `"[seed keyword]"` — note related searches, People Also Ask
49	2. Search: `"[seed keyword] guide" OR "[seed keyword] tutorial"` — informational variants
50	3. Search: `"best [seed keyword]" OR "[seed keyword] review"` — commercial variants
51
52	Collect 50-200+ unique keywords depending on `depth`.
53
54	### Step 3: Classify by Intent
55
56	Read `shared/references/seo-strategy.md` for clustering methodology.
57
58	Classify each keyword:
59	- Informational (I): Learning, how-to, what-is → blog posts, tutorials
60	- Commercial (C): Comparing, evaluating, reviewing → comparison posts, reviews
61	- Transactional (T): Ready to buy, pricing, discount → landing pages, deal pages
62	- Navigational (N): Brand-specific, login → skip (not your traffic to capture)
63
64	### Step 4: Cluster by Topic
65
66	Group keywords that share the same search intent (would be answered by the same page):
67
68	```
69	Cluster: "[Main Topic]"
70	Type: [I/C/T]
71	Hub keyword: [highest volume keyword]
72	Supporting keywords:
73	- [keyword 1] — [est. volume]
74	- [keyword 2] — [est. volume]
75	Content type: [blog post / comparison / review / tutorial / landing page]
76	Priority: [1-5 based on volume × intent × competition]
77	```
78
79	### Step 5: Build Content Roadmap
80
81	Organize clusters into a hub-and-spoke map:
82
83	1. Identify the hub page (broadest, highest-volume cluster)
84	2. Connect spoke pages (specific clusters that link back to hub)
85	3. Prioritize by: commercial intent first (revenue), then informational (traffic)
86	4. Estimate effort: number of articles needed, suggested publishing cadence
87
88	### Step 6: Self-Validation
89
90	- [ ] Clusters are based on actual search data, not guesses
91	- [ ] Each cluster has a clear search intent (I, C, or T)
92	- [ ] Hub-and-spoke structure is logical (hub is broad, spokes are specific)
93	- [ ] Priority ordering makes business sense (revenue-driving content first)
94	- [ ] Total content pieces are realistic for user's capacity
95
96	## Output Schema
97
98	```yaml
99	output_schema_version: "1.0.0"
100	keyword_clusters:
101	niche: string
102	total_keywords: number
103	total_clusters: number
104
105	hub:
106	keyword: string
107	cluster_name: string
108	content_type: string
109	priority: number

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Type