Competitor Intel — daily competitor signal feed — Claude Skill
Een Claude-skill voor Claude Code door Gooseworks — uitvoeren met /competitor-intel in Claude·Bijgewerkt op 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
Voor wie
Wat het doet
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.
Hoe het werkt
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
Verbeterde metrieken
Werkt met
Competitor Intelligence gebruiken?
Kies hoe je wilt beginnen.
Installeer en gebruik deze skill lokaal op je computer.
Open een terminal op je computer en plak dit commando:
Dit downloadt de skill met alle bestanden naar je computer:
Voeg -g aan het eind toe om het in al je projecten beschikbaar te maken.
Start Claude Code en typ het commando:
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)