AGENT SKILLBY MANOJBAJAJ95
Keyword research & clustering
AT A GLANCE
Keyword research & clustering is an SEO skill for AI agents. Research, expand, and cluster keywords for content strategy. The manojbajaj95/claude-gtm-plugin repository on GitHub, maintained by manojbajaj95, has 67 stars and the MIT license. To add it, run npx skills add manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering
- SOURCE REPOSITORY
- manojbajaj95/claude-gtm-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- SKILL.MD SIZE
- 10 KB271 LINES
QUICK ANSWER
- WHAT IT IS01
- Research, expand, and cluster keywords for content strategy. Use when planning content topics, building keyword lists, expanding seed keywords, clustering by topic and intent, or mapping keywords to funnel stages. What sets it apart is how it narrows competitive research into one specific workflow rather than a broad, generic prompt.
- INPUTS02
- Context for competitive research: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for competitive research: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clusteringREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 23
Keyword Research & Clustering#
Workspace Context#
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract#
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Research keywords, expand them systematically, cluster by topic and intent, and prioritize for content strategy — all without expensive tools.
Required Input#
Ask the user for:
- Niche/Industry — What space are you in?
- Target Audience — Who are you writing for?
- Business Goal — Traffic, leads, sales, authority?
- Existing Content — Do you have a site/blog already?
The 6 Circles Method#
Generate 13 content ideas from a single seed keyword using nested topic clusters.
┌─────────────────────┐
│ PRIMARY KEYWORD │ ← 1 pillar topic
│ (Largest Circle) │
└─────────────────────┘
│
┌─────────────────┼─────────────────┐
▼ ▼ ▼
┌───────────┐ ┌───────────┐ ┌───────────┐
│ Sub-topic │ │ Sub-topic │ │ Sub-topic │ ← 3 supporting themes
│ A │ │ B │ │ C │
└───────────┘ └───────────┘ └───────────┘
│ │ │
┌─────┼─────┐ ┌─────┼─────┐ ┌─────┼─────┐
▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼
[1] [2] [3] [4] [5] [6] [7] [8] [9] ← 9 content piecesProcess:
- Identify primary keyword — high-traffic, high-intent topic in your niche
- Brainstorm 3 sub-topics — related themes that support the primary
- Generate 3 pieces per sub-topic — specific articles addressing aspects of each
Content Types for Supporting Pieces#
| Type | Example |
|---|---|
| How-to Guide | "How to [achieve outcome] with [method]" |
| Comparison | "[Option A] vs [Option B]: Which is better for [use case]" |
| List Post | "[Number] [adjective] ways to [achieve result]" |
| Case Study | "How [persona] achieved [result] using [approach]" |
| Trend Analysis | "[Topic] trends in [year]: What's changing" |
| Beginner Guide | "[Topic] for beginners: Everything you need to know" |
| Tool Review | "Best [category] tools for [audience/use case]" |
| Problem-Solution | "Why [problem happens] and how to fix it" |
Seed Generation (50–100 Keywords)#
Google Autocomplete & PAA#
- Type
[keyword]+ a–z variations - "how to [keyword]", "best [keyword] for", "[keyword] vs"
- Capture People Also Ask questions from SERP
Community Mining#
| Source | What to Extract |
|---|---|
| Pain points, questions, terminology | |
| Quora | Question patterns, answer gaps |
| Industry Forums | Niche-specific problems |
| YouTube Comments | Objections, confusion points |
| Amazon Reviews | Customer language, unmet needs |
Reddit Mining Protocol#
Search queries:
site:reddit.com "[niche]" + "how do I"
site:reddit.com "[niche]" + "help"
site:reddit.com "[niche]" + "struggling with"
site:reddit.com "[niche]" + "recommend"
site:reddit.com "[niche]" + "vs"Extract: Questions asked repeatedly (content opportunities), complaints about existing solutions (angle differentiation), terminology and slang (keyword variations), upvote patterns (demand signals).
Keyword Expansion Techniques#
Modifier Categories#
Question modifiers:
- What is {keyword} / How to {keyword} / Why {keyword} / When 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
Expansion Procedure#
- Extract current topic scope and any exclusions
- Propose expansions: synonyms, related terms, acronyms
- Add explicit exclusions for common false positives
- Document "why" for each change
- Keep query count manageable — merge near-duplicates instead of adding many variations
Free Tool Arsenal#
Demand Research#
| Tool | Use For | Access |
|---|---|---|
| Google Keyword Planner | Volume ranges, competition | ads.google.com (free account) |
| Google Trends | Seasonality, rising topics | trends.google.com |
| Ahrefs Free Generator | 150 suggestions with difficulty | ahrefs.com/keyword-generator |
| Ubersuggest | 3 searches/day with metrics | neilpatel.com/ubersuggest |
Intent Discovery#
| Tool | Use For | Access |
|---|---|---|
| Google Autocomplete | Real-time user queries | Type in search bar |
| People Also Ask | Question-based content | Scroll down in SERP |
| Answer the Public | Visual question maps | answerthepublic.com |
| AlsoAsked | PAA clustering | alsoasked.com |
Competition Assessment (Manual SERP Analysis)#
For each target keyword, analyze top 10 results:
| Signal | What to Look For | Opportunity If... |
|---|---|---|
| Content Depth | Word count, comprehensiveness | Top results are thin (<1000 words) |
| Freshness | Publication date, last update | Top results are 2+ years old |
| Format Match | Does format match intent? | Results don't match searcher need |
| Authority Gap | Domain strength of rankers | Small sites ranking (not all big brands) |
| Content Gaps | Missing subtopics, unanswered questions | PAA questions not covered |
Sweet Spot Targets by Site Stage#
| Site Stage | Monthly Search Volume | Competition Level |
|---|---|---|
| New site (0–6 months) | 100–500 | Low |
| Growing site (6–18 months) | 500–2,000 | Low–Medium |
| Established site (18+ months) | 1,000–10,000 | Medium |
Clustering Algorithm#
- Extract seed topics — Identify main themes from expanded list
- Group by semantic similarity — Keywords with overlapping meaning
- Map intent — Assign Informational / Commercial / Transactional / Navigational
- Identify pillar — Highest-volume, broadest term = pillar page
- Map supporting — Lower-volume terms support pillar
Cluster Structure Example#
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 platformsIntent Classification#
| Signal | Intent |
|---|---|
| "what is", "how to", "guide" | Informational |
| "best", "vs", "review", "compare" | Commercial |
| "buy", "price", "discount", brand | Transactional |
| Brand name, specific product | Navigational |
Prioritization Matrix#
Score each keyword 1–10:
| Keyword | Demand | Competition | Intent Fit | Opportunity |
|---|---|---|---|---|
| [keyword] | [1–10] | [1–10, lower=easier] | [1–10] | Demand − Competition |
Prioritize: Opportunity score > 3, Intent fit > 6
Output Format#
# Keyword Research: [Niche/Topic]
## 6 Circles Content Plan
### Primary Keyword: [keyword]
- Monthly searches: [range]
- Competition: [low/medium/high]
- Intent: [informational/commercial/transactional]
### Sub-topic A: [theme]
1. [Article idea] — [target keyword] — [volume]
2. [Article idea] — [target keyword] — [volume]
3. [Article idea] — [target keyword] — [volume]
### Sub-topic B: [theme]
4–6. [...]
### Sub-topic C: [theme]
7–9. [...]
## Prioritized Content Queue
| Priority | Topic | Keyword | Volume | Difficulty | Opportunity |
|----------|-------|---------|--------|------------|-------------|
| 1 | [topic] | [keyword] | [vol] | [1–10] | [score] |
## Quick Wins (Low Competition, Decent Volume)
- [keyword 1] — [rationale]
- [keyword 2] — [rationale]
## Content Gaps Found
- [gap 1] — competitors missing [what]
- [gap 2] — outdated content on [topic]
## Community Insights
- Top pain point: [description]
- Common question: [question]
- Terminology used: [terms]Related Skills#
- seo-and-aeo-strategy — SEO optimization and AI search visibility
- content-strategy-and-planning — Detailed content strategy from keyword research
- content-creation-and-marketing — Writing the actual content
- seo-and-aeo-strategy — Building SEO page plans at scale from keyword data
FAQ
07 QUESTIONS
01What is the Keyword research & clustering agent skill?
Research, expand, and cluster keywords for content strategy. Use when planning content topics, building keyword lists, expanding seed keywords, clustering by topic and intent, or mapping keywords to funnel stages. It is listed under SEO and go-to-market in the 100xLab agent skills directory.
02How do I install Keyword research & clustering in Cursor, Claude Code, or Codex?
Run npx skills add manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Keyword research & clustering, not every skill in the repository.
03What does the Keyword research & clustering SKILL.md cover?
The SKILL.md includes sections on Workspace Context, Operating Contract, Required Input, The 6 Circles Method, Content Types for Supporting Pieces and Seed Generation (50–100 Keywords). Read the full text on this page or in plain markdown at /resources/agent-skills/manojbajaj95-claude-gtm-plugin--keyword-research-and-clustering--4zlm8y/raw.
04Which agents can use Keyword research & clustering?
Keyword research & clustering installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Keyword research & clustering under?
The manojbajaj95/claude-gtm-plugin repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Keyword research & clustering free to use?
Reading, copying and installing Keyword research & clustering costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Keyword research & clustering?
Keyword research & clustering comes from https://github.com/manojbajaj95/claude-gtm-plugin, which has 67 GitHub stars. The SKILL.md is at https://github.com/manojbajaj95/claude-gtm-plugin/blob/HEAD/skills/keyword-research-and-clustering/SKILL.md. The author is manojbajaj95.
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ATTRIBUTION
Keyword research & clustering was written by its original authors and is published in manojbajaj95/claude-gtm-plugin (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.