Agent skill

Keyword Research And Clustering

by manojbajaj95 in manojbajaj95/claude-gtm-plugin

Research, expand, and cluster keywords for content strategy.

MITAuto-check passedMarketing & SEO

Install Keyword Research And Clustering

skills CLI
$ npx skills add manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering -a claude-code

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

GitHub CLI
$ gh skill install manojbajaj95/claude-gtm-plugin keyword-research-and-clustering --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/manojbajaj95/claude-gtm-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keyword-research-and-clustering .claude/skills/keyword-research-and-clustering && 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-research-and-clustering
GitHub stars
105
Token cost
~2.6k tokens
SKILL.md length
779 words
Files
1
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Research, expand, and cluster keywords for content strategy.

  • Works in 4 steps: Niche/Industry — What space are you in? → Target Audience — Who are you writing for? → Business Goal — Traffic, leads, sales,… → …
  • Planning content topics
  • SKILL.md covers Workspace Context, Operating Contract, Required Input and The 6 Circles Method, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keyword Research And Clustering is an agent skill from manojbajaj95/claude-gtm-plugin. 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. Triggers on "keyword research," "keyword expansion," "keyword clustering," "content topics," "what to write about," "topic ideation," "content planning," "6 circles method," "seed keywords," "keyword difficulty," "search volume," "intent mapping," "pillar content strategy," or "content calendar…

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Keyword research and Content strategy. The licence is MIT.

When your agent uses it

  • Planning content topics
  • Building keyword lists
  • Expanding seed keywords
  • Clustering by topic and intent

Example prompts

  • “keyword research,”
  • “keyword expansion,”
  • “keyword clustering,”
  • “/keyword-research-and-clustering”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Niche/Industry — What space are you in?
  2. Target Audience — Who are you writing for?
  3. Business Goal — Traffic, leads, sales, authority?
  4. Existing Content — Do you have a site/blog already?

What it can do on your machine

Read from SKILL.md and the folder at commit 0830a46. 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 markdown).

    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.

Context cost

Keyword Research And Clustering loads about 2.6k tokens when it runs. Until then it costs about 153 tokens; SKILL.md has 779 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~153
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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 manojbajaj95/claude-gtm-plugin at commit 0830a46, republished under its MIT licence (© manojbajaj95). 779 words, ~2,562 tokens.

Download SKILL.mdSave it as .claude/skills/keyword-research-and-clustering/SKILL.md (or your agent's skills folder).
name
keyword-research-and-clustering
description
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. Triggers on "keyword research," "keyword expansion," "keyword clustering," "content topics," "what to write about," "topic ideation," "content planning," "6 circles method," "seed keywords," "keyword difficulty," "search volume," "intent mapping," "pillar content strategy," or "content calendar planning." For SEO optimization and auditing, see seo-and-aeo-strategy.

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:

  1. Niche/Industry — What space are you in?
  2. Target Audience — Who are you writing for?
  3. Business Goal — Traffic, leads, sales, authority?
  4. 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 pieces

Process:

  1. Identify primary keyword — high-traffic, high-intent topic in your niche
  2. Brainstorm 3 sub-topics — related themes that support the primary
  3. Generate 3 pieces per sub-topic — specific articles addressing aspects of each
Content Types for Supporting Pieces
TypeExample
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
SourceWhat to Extract
RedditPain points, questions, terminology
QuoraQuestion patterns, answer gaps
Industry ForumsNiche-specific problems
YouTube CommentsObjections, confusion points
Amazon ReviewsCustomer 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
  1. Extract current topic scope and any exclusions
  2. Propose expansions: synonyms, related terms, acronyms
  3. Add explicit exclusions for common false positives
  4. Document "why" for each change
  5. Keep query count manageable — merge near-duplicates instead of adding many variations

Show full SKILL.md (311 more words)Show less

Free Tool Arsenal

Demand Research
ToolUse ForAccess
Google Keyword PlannerVolume ranges, competitionads.google.com (free account)
Google TrendsSeasonality, rising topicstrends.google.com
Ahrefs Free Generator150 suggestions with difficultyahrefs.com/keyword-generator
Ubersuggest3 searches/day with metricsneilpatel.com/ubersuggest
Intent Discovery
ToolUse ForAccess
Google AutocompleteReal-time user queriesType in search bar
People Also AskQuestion-based contentScroll down in SERP
Answer the PublicVisual question mapsanswerthepublic.com
AlsoAskedPAA clusteringalsoasked.com

Competition Assessment (Manual SERP Analysis)

For each target keyword, analyze top 10 results:

SignalWhat to Look ForOpportunity If...
Content DepthWord count, comprehensivenessTop results are thin (<1000 words)
FreshnessPublication date, last updateTop results are 2+ years old
Format MatchDoes format match intent?Results don't match searcher need
Authority GapDomain strength of rankersSmall sites ranking (not all big brands)
Content GapsMissing subtopics, unanswered questionsPAA questions not covered
Sweet Spot Targets by Site Stage
Site StageMonthly Search VolumeCompetition Level
New site (0–6 months)100–500Low
Growing site (6–18 months)500–2,000Low–Medium
Established site (18+ months)1,000–10,000Medium

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 Informational / Commercial / Transactional / Navigational
  4. Identify pillar — Highest-volume, broadest term = pillar page
  5. 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 platforms
Intent Classification
SignalIntent
"what is", "how to", "guide"Informational
"best", "vs", "review", "compare"Commercial
"buy", "price", "discount", brandTransactional
Brand name, specific productNavigational

Prioritization Matrix

Score each keyword 1–10:

KeywordDemandCompetitionIntent FitOpportunity
[keyword][1–10][1–10, lower=easier][1–10]Demand − Competition

Prioritize: Opportunity score > 3, Intent fit > 6


Output Format

markdown
# 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]

  • 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

© manojbajaj95, 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/keyword-research-and-clustering of manojbajaj95/claude-gtm-plugin.

Open the folder on GitHubat commit 0830a46

Compare with similar skills

Keyword Research And Clustering 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 Research And Clustering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keyword Research And Clustering this skillmanojbajaj95/claude-gtm-plugin105—~2.6kAutomated 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 Keyword ResearchVarnan-Tech/opendirectory674—~1.8kAutomated safety check: PassMIT

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Questions about Keyword Research And Clustering

What does Keyword Research And Clustering do?

Research, expand, and cluster keywords for content strategy. Keyword Research And Clustering is an agent skill from manojbajaj95/claude-gtm-plugin. Research, expand, and cluster keywords for content strategy.

When should I use Keyword Research And Clustering?

Keyword Research And Clustering fits situations like: planning content topics; building keyword lists; expanding seed keywords; clustering by topic and intent.

How do I install Keyword Research And Clustering in Claude Code?

Run `npx skills add manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering -a claude-code`. Or copy the skill folder (skills/keyword-research-and-clustering in manojbajaj95/claude-gtm-plugin) into .claude/skills/keyword-research-and-clustering in your project. Claude Code loads it when a task matches its description.

How do I install Keyword Research And Clustering in Codex?

Run `npx skills add manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering -a codex`. Or copy the skill folder (skills/keyword-research-and-clustering in manojbajaj95/claude-gtm-plugin) into .agents/skills/keyword-research-and-clustering in your project. Codex loads it when a task matches its description.

Can I use Keyword Research And Clustering 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 manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering -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-research-and-clustering, .gemini/skills/keyword-research-and-clustering, .github/skills/keyword-research-and-clustering and .opencode/skills/keyword-research-and-clustering in your project.

What does Keyword Research And Clustering need to run?

SKILL.md names no scripts, command-line tools or credentials: Keyword Research And Clustering is instructions for the agent only.

Does Keyword Research And Clustering 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 Research And Clustering 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 Research And Clustering use?

Keyword Research And Clustering is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keyword Research And Clustering use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Research And Clustering?

Skills that share tags, products or a category with Keyword Research And Clustering: 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 Research And Clustering?

manojbajaj95 (a GitHub user) maintains it in manojbajaj95/claude-gtm-plugin, which has 105 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on September 18, 2026.

Source: manojbajaj95/claude-gtm-plugin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.