How do I install the Competitor Intel skill?

Run npx skillmds add majiayu000/competitor-intel-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Competitor Intel safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Competitor Intel?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Competitor Intel free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Competitor Intel?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Competitor Intel by majiayu000 — Agent Skill

Name: Competitor Intel
Rating: 4.2 (5 reviews)
Author: majiayu000

Competitor Intel

Competitor intelligence system. Track competitors across Reddit, Twitter/X, and LinkedIn. Run one-time deep research to create competitor profiles, then automate daily/weekly monitoring with consolidated reports and actionable signals. Reports delivered as markdown files and via email.

majiayu000 701af99 2 files · 3.3 KB Updated Sep 9, 2026 567 repo stars

File contents

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:

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)

---name: competitor-intel-2description: Competitor intelligence system. Track competitors across Reddit, Twitter/X, and LinkedIn. Run one-time deep research to create competitor profiles, then automate daily/weekly monitoring with consolidated reports and actionable signals. Reports delivered as markdown files and via email.--- # 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 ```bash # 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 ```bash # 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 ```bash # Run weekly deep dive (Monday mornings) python3 competitor-intel/scripts/run_weekly.py ``` ### Generate Report ```bash # 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: | 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)

Frequently asked questions