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competitor-keyword-analysis竞争对手关键词分析

Agent Skill

competitor-keyword-analysis 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

541

周安装

23

GitHub Stars

35

下载量

190
CodexClaudeCursorGemini CLI

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:competitor-keyword-analysis(竞争对手关键词分析)
来源仓库:https://github.com/superamped/ai-marketing-skills
仓库路径:skills/competitor-keyword-analysis
安装命令:
npx skills add https://github.com/superamped/ai-marketing-skills --skill competitor-keyword-analysis
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/superamped/ai-marketing-skills --skill competitor-keyword-analysis

简介

快速获取竞品有机流量关键词布局与搜索意图覆盖广度统计。

  • 借助关键词工具MCP接口实时读取排名数据与难度指数参考值。
  • 输出TOP关键词列表及其对应着陆页映射关系辅助内容优化决策。
  • 若未连接关键词插件则返回友好提示而非中断服务进程。
  • competitor-keyword-analysis 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Competitor Keyword Analysis

Usage

Use for a quick SEO snapshot of a competitor's organic presence, or as input to competitor-content-analysis for deeper content strategy mapping.

Process

Step 1: Gather Inputs

Ask the user for:

  1. Competitor name — the company to analyze
  2. Competitor domain — e.g., example.com (no protocol)
  3. Country code (optional) — defaults to "us"

Step 2: Validate MCP

Check that Keywords Everywhere MCP is connected.

If not connected, return empty data with the note: "Keywords Everywhere MCP not configured — SEO data not available." Don't block the user — return gracefully.

Step 3: Domain Keywords

Pull get_domain_keywords:

  • domain: competitor domain
  • country: from input or "us"
  • num: 100

This returns the top keywords the competitor ranks for, with estimated monthly traffic and SERP position per keyword.

Step 4: Traffic Metrics

Pull get_domain_traffic_metrics:

  • domains: [competitor domain]
  • country: same as Step 3

This returns estimated monthly organic traffic and total ranking keywords for the domain.

Step 5: Cluster into Content Themes

Group the top keywords into 3-5 content themes by topic similarity. For each theme:

  • Theme name — descriptive label (e.g., "project management guides", "pricing comparisons")
  • Keywords in theme — count
  • Combined estimated traffic — sum of traffic for keywords in the theme
  • Top keyword — highest-traffic keyword in the theme

These themes represent the competitor's content pillars from an SEO perspective.

Output Format

# Keyword Analysis: [Competitor Name]

**Domain:** [domain]
**Date:** [current date]
**Estimated monthly organic traffic:** [X]
**Total ranking keywords:** [X]

## Top Keywords

| Keyword | Est. Monthly Traffic | SERP Position |
|---------|---------------------|---------------|
| | | |

## Content Themes

| Theme | Keywords | Combined Traffic | Top Keyword |
|-------|----------|-----------------|-------------|
| | | | |

## Data Sources
- Keywords Everywhere: connected / not connected
- Country: [code]
- Domain keywords pulled: [count]

Rules

  • Never invent traffic numbers — all data comes from Keywords Everywhere.
  • Never call get_related_keywords or get_pasf_keywords — those are for keyword expansion, not competitor mapping.
  • If the domain returns very few keywords (< 10), the competitor may have minimal organic presence or the domain may be wrong — flag it.
  • If traffic metrics return zero, the domain may be too new or not indexed — flag it.
  • If Keywords Everywhere MCP is not connected, clearly state that and return an empty report structure.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.81%
按下载量换算66

Claude

30.66%
按下载量换算58

Cursor

17.71%
按下载量换算34

Gemini CLI

10.8%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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