Competitor Intel — daily competitor signal feed — Claude Skill
Ein Claude-Skill für Claude Code von Gooseworks — ausführen mit /competitor-intel in Claude·Aktualisiert am 10. Apr. 2026
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
Für wen
Funktionen
Replace ad-hoc Google searches with a structured daily and weekly competitive intel feed.
Surface competitor frustrations on Reddit and Twitter that you can convert to outbound.
Watch what competitor founders are saying publicly to understand strategic direction.
So funktioniert's
Take competitor list as input via setup script
Run agent-driven deep research to populate profiles
Run daily Reddit and Twitter scrapers for ongoing signals
Run weekly LinkedIn deep dive on Mondays
Generate and email daily and weekly digest reports
Verbesserte Metriken
Funktioniert mit
Möchten Sie Competitor Intelligence nutzen?
Wählen Sie, wie Sie starten möchten.
Installieren und führen Sie diesen Skill lokal auf Ihrem Computer aus.
Öffnen Sie ein Terminal auf Ihrem Computer und fügen Sie diesen Befehl ein:
Damit wird der Skill mit allen Dateien auf Ihren Computer heruntergeladen:
Hängen Sie -g an, damit es in allen Ihren Projekten verfügbar ist.
Starten Sie Claude Code und geben Sie den Befehl ein:
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 competitorcompetitor-intel/competitors/[slug]/snapshots/- Point-in-time weekly snapshotscompetitor-intel/reports/- Daily and weekly digest reportscompetitor-intel/raw-data/- Raw JSON from Reddit/Twitter scrapescompetitor-intel/config.json- Global configuration
Tracked Competitors
Competitors are configured per-project. Ask the user which competitors to track, then add them here:
| Competitor | Slug | Status |
|---|---|---|
| (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)