ElasticFlow
AI 스킬Monitor CompetitorsMarketing

Competitor Intel — daily competitor signal feed — Claude Skill

Claude Code용 Claude 스킬 · 제공: Gooseworks · 실행: /competitor-intel (Claude 내)·업데이트: 2026년 4월 10일

호환Claude·ChatGPT·OpenClaw

Automated competitor monitoring across Reddit, X, and LinkedIn

  • Builds deep competitor profiles via one-time agent research
  • Runs daily Reddit and Twitter signal collection
  • Runs weekly LinkedIn deep-dive with founder activity
  • Generates daily and weekly digest reports
  • Delivers reports as markdown files and via email

대상

Product Marketer

You own positioning, launches, and the buyer journey. These skills help you write copy that converts, price for growth, and launch products people actually want.

이 역할의 스킬 보기

기능

Always-on competitor monitoring

Replace ad-hoc Google searches with a structured daily and weekly competitive intel feed.

Catch buying-signal moments

Surface competitor frustrations on Reddit and Twitter that you can convert to outbound.

Track founder narratives

Watch what competitor founders are saying publicly to understand strategic direction.

작동 방식

1

Take competitor list as input via setup script

2

Run agent-driven deep research to populate profiles

3

Run daily Reddit and Twitter scrapers for ongoing signals

4

Run weekly LinkedIn deep dive on Mondays

5

Generate and email daily and weekly digest reports

개선되는 지표

Lead Generation
More qualified leads from converting competitor frustration signals into outbound
Marketing

지원 도구

LinkedIn
API

Source for weekly competitor founder posts

Reddit
API

Source for daily competitor mention scraping

Competitor Intelligence을(를) 사용해 보시겠어요?

시작 방법을 선택하세요.

Claude Code에서 실행
무료. 오픈 소스.

이 스킬을 컴퓨터에 로컬로 설치하고 실행합니다.

1
Claude Code 설치

컴퓨터에서 터미널을 열고 이 명령을 붙여넣으세요:

2
스킬 설치

이 명령은 스킬과 모든 파일을 컴퓨터에 다운로드합니다:

모든 프로젝트에서 사용하려면 끝에 -g를 추가하세요.

3
실행하기

Claude Code를 시작한 다음 명령을 입력하세요:

그다음
GitHub에서 소스 보기
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14일 무료 평가판. 언제든 취소 가능.

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Competitor Intelligence

Automated competitor monitoring and intelligence gathering system.

Important: Before running any competitor intel commands, ask the user which competitors they want to track. Do not assume or hardcode competitor names.

Quick Start

One-Time: Research a New Competitor

# Create a new competitor profile (agent-driven research)
python3 competitor-intel/scripts/setup_competitor.py --name "CompanyName" --website https://example.com --slug companyname

Then run an agent research session to populate the profile.

Daily: Reddit + Twitter Monitoring

# Run daily signals collection (automated via cron)
python3 competitor-intel/scripts/run_daily.py

# Or for a specific competitor
python3 competitor-intel/scripts/run_daily.py --competitor <competitor-slug>

Weekly: Deep Dive + LinkedIn

# Run weekly deep dive (Monday mornings)
python3 competitor-intel/scripts/run_weekly.py

Generate Report

# Generate daily or weekly report
python3 competitor-intel/scripts/generate_report.py --type daily --date 2026-02-21
python3 competitor-intel/scripts/generate_report.py --type weekly --date 2026-02-21

Data Structure

  • competitor-intel/competitors/[slug]/profile.md - Deep research profile per competitor
  • competitor-intel/competitors/[slug]/snapshots/ - Point-in-time weekly snapshots
  • competitor-intel/reports/ - Daily and weekly digest reports
  • competitor-intel/raw-data/ - Raw JSON from Reddit/Twitter scrapes
  • competitor-intel/config.json - Global configuration

Tracked Competitors

Competitors are configured per-project. Ask the user which competitors to track, then add them here:

CompetitorSlugStatus
(ask user)——

Automation

  • Daily (8 AM PT): Reddit + Twitter scrape → daily report → email
  • Weekly (Monday 9 AM PT): Deep dive + LinkedIn + weekly report → email

Dependencies

  • Apify API (Reddit + Twitter scraping) - token in config.json
  • Web search (LinkedIn founder tracking, one-time research)
  • AgentMail (report delivery)