Token导航 LogoToken导航TokenDH.com
研究检索权限需确认github未标认证来源可访问许可证需确认审计提醒

competitor-monitoring-system竞争对手监控系统

Agent Skill

competitor-monitoring-system 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。

总安装

225

周安装

9

GitHub Stars

636

下载量

73
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-monitoring-system(竞争对手监控系统)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/competitor-monitoring-system
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill competitor-monitoring-system
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/athina-ai/goose-skills --skill competitor-monitoring-system

简介

为客户建立长期竞争对手监控系统,涵盖内容、广告与产品更新。

  • 定期产出智能简报,支持自定义 watchlist 与警报规则。
  • 集成 Google Sheets 与 Slack 实现自动化通知与数据沉淀。
  • 安装命令:npx skills add https://github.com/athina-ai/goose-skills --skill competitor-monitoring-system
  • 首次使用需定义客户上下文与竞争格局框架。

SKILL.md

Competitor Monitoring System

Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports.

When to Use

  • "Set up competitor monitoring for [client]"
  • "Track what [competitors] are doing"
  • "Monitor [competitor] content and ads"

Prerequisites

  • List of competitors to track (typically 3-7)
  • Client context with competitive positioning
  • Competitor founder/executive LinkedIn profiles (for social monitoring)

Setup Steps

1. Define Competitor Watchlist

Create a competitor tracking file: clients/<client-name>/intelligence/competitor-watchlist.md

For each competitor, document:

  • Company name and URL
  • Key products/features
  • Founder/exec LinkedIn profiles
  • Known content channels (blog URL, YouTube, podcast)
  • Review profiles (G2, Capterra URLs)
  • Ad library pages (Meta, Google)

2. Initial Competitive Baseline

Run the full competitor-intel composite for each competitor to establish a baseline:

Skill: competitor-intel (chains reddit + twitter + linkedin + blog + review scrapers)

Plus:

  • Skill: meta-ad-scraper — Scrape their current Meta ads
  • Skill: google-ad-scraper — Scrape their current Google ads
  • Skill: review-scraper — Pull latest G2/Capterra/Trustpilot reviews

Output: clients/<client-name>/intelligence/competitor-baseline.md

3. Configure Monitoring Cadence

What to MonitorFrequencySkillWhat to Look For
Blog/content outputWeeklyblog-scraperNew posts, topic shifts, SEO attacks
Social media postsWeeklylinkedin-profile-post-scraper + twitter-scraperMessaging changes, product announcements, engagement patterns
Reddit/HN mentionsWeeklyreddit-scraper + hacker-news-scraperUser sentiment, complaints, praise, feature requests
Ad creative changesBi-weeklymeta-ad-scraper + google-ad-scraperNew campaigns, messaging shifts, spend changes
Review sentimentMonthlyreview-scraperNew reviews, rating trends, common complaints

4. Run Monitoring

Each monitoring cycle:

  1. Run the relevant scrapers for the cycle type
  2. Compare new data against the baseline/previous cycle
  3. Flag significant changes:

- New product features or pricing changes - New content targeting our client's keywords - Negative review trends (poaching opportunity) - New ad campaigns (messaging intelligence) - Founder/exec public statements about strategy

5. Produce Intelligence Report

After each cycle, produce a brief intelligence summary:

# Competitor Intelligence — [Client] — Week of [Date]

## Key Changes
- [Competitor A] published 3 new blog posts targeting "[keyword]"
- [Competitor B] launched new Meta ad campaign focused on [theme]
- [Competitor C] received 5 negative G2 reviews about [issue]

## Recommended Actions
- Publish response content for [Competitor A]'s keyword attack
- Create comparison page addressing [Competitor B]'s new messaging
- Target [Competitor C]'s unhappy customers with migration content

## Detailed Findings
[Per-competitor breakdown]

Output: clients/<client-name>/intelligence/competitor-reports/[date].md

Ongoing Cadence

  • Weekly: Content + social monitoring, brief report
  • Bi-weekly: Ad monitoring
  • Monthly: Full review scrape + comprehensive report
  • Quarterly: Re-run full competitor-intel baseline, update watchlist

Human Checkpoints

  • After setup: Review competitor watchlist and monitoring plan
  • After each report: Review recommended actions before executing

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

32.8%
按下载量换算24

Claude

29.33%
按下载量换算21

Cursor

20.39%
按下载量换算15

Gemini CLI

10.19%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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

继续浏览同类 Skills