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keyword-research-and-clustering关键词研究和聚类

Agent Skill

keyword-research-and-clustering 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:keyword-research-and-clustering(关键词研究和聚类)
来源仓库:https://github.com/manojbajaj95/claude-gtm-plugin
仓库路径:skills/keyword-research-and-clustering
安装命令:
npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill keyword-research-and-clustering

简介

keyword-research-and-clustering 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 注意该技能属于研究检索类,实际功能以源码和文档为准。

SKILL.md

Keyword Research & Clustering

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

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

# 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
  • programmatic-seo — Building SEO pages at scale from keyword data

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