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competitor-intel

competitor-intel

github.com/nikiandrMarketing & growth199 installsUpdated 31w ago
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About competitor-intel

competitor-intel is a skill for automated competitor monitoring and intelligence gathering, intended for teams tracking market rivals. It collects Reddit and Twitter signals daily, supports weekly deep dives and LinkedIn tracking, and generates reports; users must specify competitors before commands run.

Key features

  1. 01Create competitor profiles
  2. 02Collect daily Reddit and Twitter signals
  3. 03Run weekly deep dives and LinkedIn tracking
  4. 04Generate daily and weekly reports

Use cases

  1. 01Set up a research profile for a new competitor
  2. 02Gather competitor updates on a schedule
  3. 03Review daily or weekly digests

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nikiandr/goose-skills --skill competitor-intel

After installing, type/competitor-intelin Claude Code to confirm it loaded.

Bundled filesskill.meta.json

Details

From the project README

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)

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