keyword-cluster-builder
Techniques for expanding seed keywords and clustering by topic and intent. Use when building keyword lists, planning content calendars, or identifying topic clusters for pillar content strategy.
Best use case
keyword-cluster-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Techniques for expanding seed keywords and clustering by topic and intent. Use when building keyword lists, planning content calendars, or identifying topic clusters for pillar content strategy.
Teams using keyword-cluster-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/keyword-cluster-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How keyword-cluster-builder Compares
| Feature / Agent | keyword-cluster-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Techniques for expanding seed keywords and clustering by topic and intent. Use when building keyword lists, planning content calendars, or identifying topic clusters for pillar content strategy.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Keyword Cluster Builder
## When to Use
- Expanding seed keywords to comprehensive lists (50-100+)
- Grouping keywords by topic for pillar content strategy
- Mapping keywords to funnel stages
- Identifying content gaps in keyword coverage
## Expansion Techniques
### Question Modifiers
- What is {keyword}
- How to {keyword}
- Why {keyword}
- When to {keyword}
- Where to {keyword}
### Comparative Modifiers
- {keyword} vs {competitor}
- {keyword} alternatives
- best {keyword}
- {keyword} comparison
### Intent Modifiers
- {keyword} guide
- {keyword} tutorial
- {keyword} examples
- {keyword} template
- buy {keyword}
- {keyword} pricing
### Audience Modifiers
- {keyword} for beginners
- {keyword} for {industry}
- {keyword} for small business
- {keyword} for enterprise
## Clustering Algorithm
1. **Extract Seed Topics**: Identify main themes from expanded list
2. **Group by Semantic Similarity**: Keywords with overlapping meaning
3. **Map Intent**: Assign I/C/T/N to each cluster
4. **Identify Pillar**: Highest-volume, broadest term = pillar
5. **Map Supporting**: Lower-volume terms support pillar
## Cluster Structure
```
PILLAR: "content marketing" (highest volume)
+-- CLUSTER: "content marketing strategy" (commercial)
| +-- content marketing plan template
| +-- content marketing framework
| +-- how to create content marketing strategy
+-- CLUSTER: "content marketing examples" (informational)
| +-- B2B content marketing examples
| +-- content marketing case studies
| +-- content marketing success stories
+-- CLUSTER: "content marketing tools" (commercial)
+-- best content marketing tools
+-- content marketing software
+-- content marketing platforms
```
## Intent Classification Rules
| Signal | Intent |
|--------|--------|
| "what is", "how to", "guide" | Informational |
| "best", "vs", "review", "compare" | Commercial |
| "buy", "price", "discount", brand | Transactional |
| Brand name, specific product | Navigational |
## Output Format
When generating keyword clusters, use this format:
```markdown
## Keyword Cluster Report
**Seed Keyword**: {seed}
**Total Keywords**: {count}
**Clusters**: {cluster_count}
### Cluster 1: {cluster_name}
**Intent**: {intent}
**Funnel Stage**: {stage}
**Keywords**:
1. {keyword1} - {estimated_volume}
2. {keyword2} - {estimated_volume}
...
### Cluster 2: {cluster_name}
...
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