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Agent Skill · 研究检索

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

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。

keyword-research-and-clustering 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 25,638。

总安装 3,721周安装 152GitHub Stars 42下载 1,204核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/keyword-research-and-clustering

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill keyword…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

keyword-research-and-clustering 怎么安装?

在终端执行 npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill keyword-research-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

keyword-research-and-clustering 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

keyword-research-and-clustering 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

keyword-research-and-clustering 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

keyword-research-and-clustering 用的人多吗?

公开数据是累计安装 3,721 次,近一周安装 152 次,下载 1,204 次,GitHub 42 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

keyword-research-and-clustering 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
keyword-research-and-clustering

关键词研究和聚类 · 本页

3,72142只读未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

Codex

35.44%
按下载量换算427

Claude

30.66%
按下载量换算369

Cursor

18.17%
按下载量换算219

Gemini CLI

9.6%
按下载量换算116

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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