AIスキルMonitor CompetitorsMarketing

Competitor Intel — daily competitor signal feed — Claude Skill

Claude Code向けClaudeスキル · 提供:Gooseworks · 実行:/competitor-intel(Claude内)·更新日:2026年4月10日

対応Claude·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

対象ユーザー

機能

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.

仕組み

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

改善される指標

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

対応ツール

Competitor Intelligenceを使ってみますか?

始め方を選択してください。

Claude Codeで実行
無料・オープンソース

このスキルをコンピュータにローカルでインストールして実行します。

1
Claude Codeをインストール

コンピュータでターミナルを開き、このコマンドを貼り付けます:

2
スキルをインストール

このコマンドでスキルとすべてのファイルをコンピュータにダウンロードします:

末尾に-gを追加すると、すべてのプロジェクトで利用可能になります。

3
実行する

Claude Codeを起動し、コマンドを入力します:

次に
GitHubでソースを見る
ElasticFlowで利用
チームとコラボレーション機能

ブラウザからスキルを実行。結果を共有し、アクセス管理、チームで協力。ターミナル不要。

14日間無料トライアル。いつでもキャンセル可能。

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)