Agent skill

Keyword Cluster Architect

by Affitor in Affitor/affiliate-skills

Map 50-200+ keywords into topical clusters for SEO domination.

MITAuto-check passedMarketing & SEO

Install Keyword Cluster Architect

skills CLI
$ npx skills add Affitor/affiliate-skills --skill keyword-cluster-architect -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Affitor/affiliate-skills keyword-cluster-architect --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Affitor/affiliate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/blog/keyword-cluster-architect .claude/skills/keyword-cluster-architect && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
keyword-cluster-architect
GitHub stars
700
Token cost
~2.4k tokens
SKILL.md length
741 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Map 50-200+ keywords into topical clusters for SEO domination.

  • Works in 6 steps: Generate Seed Keywords → Expand Keywords → Classify by Intent → …
  • : keyword research
  • SKILL.md covers Stage, When to Use, Input Schema and Workflow, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keyword Cluster Architect is an agent skill from Affitor/affiliate-skills. 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 plan", "map my keywords", "keyword cluster", "hub and spoke content", "build topical authority", "SEO content plan", "keyword universe".

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

It sits in Marketing & SEO, covering Keyword research and Content strategy. The repository describes itself as: 50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social… The licence is MIT.

When your agent uses it

  • : keyword research
  • Keyword clustering
  • Topical authority
  • Keyword strategy

Example prompts

  • “keyword research”
  • “keyword clustering”
  • “topical authority”
  • “/keyword-cluster-architect”

Requirements

  • Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Generate Seed Keywords
  2. Expand Keywords
  3. Classify by Intent
  4. Cluster by Topic
  5. Build Content Roadmap
  6. Self-Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e43bfae. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

    From compatibility in the SKILL.md frontmatter.

Context cost

Keyword Cluster Architect loads about 2.4k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 741 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Affitor/affiliate-skills at commit e43bfae, republished under its MIT licence (© Affitor). 741 words, ~2,376 tokens.

Download SKILL.mdSave it as .claude/skills/keyword-cluster-architect/SKILL.md (or your agent's skills folder).
name
keyword-cluster-architect
description
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 plan", "map my keywords", "keyword cluster", "hub and spoke content", "build topical authority", "SEO content plan", "keyword universe".
compatibility
Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
license
MIT
version
1.0.0
tags
affiliate-marketing, blogging, seo, content-writing, keywords, clustering
metadata.author
affitor
metadata.version
1.0
metadata.stage
S3-Blog

Keyword Cluster Architect

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.

Stage

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.

When to Use

  • User wants to plan SEO content strategy for a niche
  • User asks about keyword research, clustering, or topical authority
  • User says "keyword", "SEO plan", "content roadmap", "topic cluster", "hub and spoke"
  • Before running affiliate-blog-builder — to know WHICH articles to write
  • After monopoly-niche-finder — to map the keyword universe for the winning niche

Input Schema

yaml
niche: 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.

Workflow

Step 1: Generate Seed Keywords

If not provided, generate 5-10 seed keywords from the niche:

  • Product-focused: "[product] review", "best [category]"
  • Problem-focused: "how to [solve problem]", "[problem] solution"
  • Comparison: "[product A] vs [product B]", "alternatives to [product]"
  • Tutorial: "how to use [product]", "[product] tutorial"
Step 2: Expand Keywords

For each seed, use web_search to discover related keywords:

  1. Search: "[seed keyword]" — note related searches, People Also Ask
  2. Search: "[seed keyword] guide" OR "[seed keyword] tutorial" — informational variants
  3. Search: "best [seed keyword]" OR "[seed keyword] review" — commercial variants

Collect 50-200+ unique keywords depending on depth.

Step 3: Classify by Intent

Read shared/references/seo-strategy.md for clustering methodology.

Classify each keyword:

  • Informational (I): Learning, how-to, what-is → blog posts, tutorials
  • Commercial (C): Comparing, evaluating, reviewing → comparison posts, reviews
  • Transactional (T): Ready to buy, pricing, discount → landing pages, deal pages
  • Navigational (N): Brand-specific, login → skip (not your traffic to capture)
Step 4: Cluster by Topic

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]
Step 5: Build Content Roadmap

Organize clusters into a hub-and-spoke map:

  1. Identify the hub page (broadest, highest-volume cluster)
  2. Connect spoke pages (specific clusters that link back to hub)
  3. Prioritize by: commercial intent first (revenue), then informational (traffic)
  4. Estimate effort: number of articles needed, suggested publishing cadence
Step 6: Self-Validation
  • Clusters are based on actual search data, not guesses
  • Each cluster has a clear search intent (I, C, or T)
  • Hub-and-spoke structure is logical (hub is broad, spokes are specific)
  • Priority ordering makes business sense (revenue-driving content first)
  • Total content pieces are realistic for user's capacity

Output Schema

yaml
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"

Output Format

## 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
Show full SKILL.md (320 more words)Show less

Error Handling

  • Niche too broad: "This niche is very broad. Let me narrow to a sub-niche for more actionable clusters. Or run monopoly-niche-finder first."
  • No search volume: "This niche may be too narrow for significant search traffic. Consider broadening slightly."
  • Too many keywords: Group aggressively into fewer clusters. Quality of clustering > quantity of keywords.
  • No commercial intent keywords: Flag as concern — hard to monetize through affiliate without commercial intent. Suggest adjacent niches.

Examples

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.

Flywheel Connections

Feeds Into
  • affiliate-blog-builder (S3) — which articles to write and target keywords
  • comparison-post-writer (S3) — commercial clusters become comparison articles
  • content-moat-calculator (S3) — keyword count informs moat estimation
  • landing-page-creator (S4) — transactional clusters become landing pages
  • internal-linking-optimizer (S6) — cluster structure defines link architecture
Fed By
  • monopoly-niche-finder (S1) — niche to cluster keywords for
  • content-pillar-atomizer (S2) — content pillars suggest keyword areas
  • seo-audit (S6) — current ranking data reveals keyword gaps
Feedback Loop
  • seo-audit (S6) reveals ranking gaps in existing clusters → add keywords and new content to fill gaps

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (roadmap feels actionable)

Any NO → rewrite before delivering.

References

  • shared/references/seo-strategy.md — Topical authority, clustering methodology, hub-and-spoke
  • shared/references/affiliate-glossary.md — Terminology
  • shared/references/flywheel-connections.md — Master connection map

© Affitor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/blog/keyword-cluster-architect of Affitor/affiliate-skills.

Open the folder on GitHubat commit e43bfae

Compare with similar skills

Keyword Cluster Architect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Keyword Cluster Architect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keyword Cluster Architect this skillAffitor/affiliate-skills700—~2.4kAutomated safety check: PassMIT
SEO Keyword ClusteringAgriciDaniel/claude-seo19k2 repos~3.3kAutomated safety check: PassMIT
SEO Content Brief GeneratorAgriciDaniel/claude-seo19k2 repos~2.6kAutomated safety check: PassMIT
Strategic SEO PlanningAgriciDaniel/claude-seo19k5 repos~1.1kAutomated safety check: PassMIT
Blog ClusterAgriciDaniel/claude-blog2.3k1 repos~4.9kAutomated safety check: PassMIT
SEO Content Briefseranking/seo-skills160—~2.5kAutomated safety check: PassMIT

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Categories

Questions about Keyword Cluster Architect

What does Keyword Cluster Architect do?

Map 50-200+ keywords into topical clusters for SEO domination. Keyword Cluster Architect is an agent skill from Affitor/affiliate-skills. Map 50-200+ keywords into topical clusters for SEO domination.

When should I use Keyword Cluster Architect?

Keyword Cluster Architect fits situations like: : keyword research; keyword clustering; topical authority; keyword strategy.

How do I install Keyword Cluster Architect in Claude Code?

Run `npx skills add Affitor/affiliate-skills --skill keyword-cluster-architect -a claude-code`. Or copy the skill folder (skills/blog/keyword-cluster-architect in Affitor/affiliate-skills) into .claude/skills/keyword-cluster-architect in your project. Claude Code loads it when a task matches its description.

How do I install Keyword Cluster Architect in Codex?

Run `npx skills add Affitor/affiliate-skills --skill keyword-cluster-architect -a codex`. Or copy the skill folder (skills/blog/keyword-cluster-architect in Affitor/affiliate-skills) into .agents/skills/keyword-cluster-architect in your project. Codex loads it when a task matches its description.

Can I use Keyword Cluster Architect in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Affitor/affiliate-skills --skill keyword-cluster-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keyword-cluster-architect, .gemini/skills/keyword-cluster-architect, .github/skills/keyword-cluster-architect and .opencode/skills/keyword-cluster-architect in your project.

What does Keyword Cluster Architect need to run?

SKILL.md names no scripts, command-line tools or credentials: Keyword Cluster Architect is instructions for the agent only. Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent.

Does Keyword Cluster Architect access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Keyword Cluster Architect safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Keyword Cluster Architect use?

Keyword Cluster Architect is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keyword Cluster Architect use?

About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Keyword Cluster Architect?

Skills that share tags, products or a category with Keyword Cluster Architect: SEO Keyword Clustering (AgriciDaniel/claude-seo, 19k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), Strategic SEO Planning (AgriciDaniel/claude-seo, 19k stars) and Blog Cluster (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keyword Cluster Architect?

Affitor (a GitHub organization) maintains it in Affitor/affiliate-skills, which has 700 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on September 15, 2026.

Source: Affitor/affiliate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.