Systems Lab

Agent skill

competitor-intel

Competitor intelligence system.

dormantSelf-containedActs undeclared227 words

Filed under Positioning and messaging.

From edupegoretti/fluidz-skills · 116 skills · 0 · pushed 2026-03-11

What it does when it runs

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.

Read from the skill and the 1 file bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
None found.
Hosts it reaches
No third-party host appears in the skill or its bundled files.
Tool permissions it declares
No allowed-tools in the frontmatter. It does act, so it runs under whatever permissions your session already grants.
Actions present in the files
shell

Ask about competitor-intel

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Rather ask a human? Talk to Cheetah
git clone --depth 1 --filter=blob:none --sparse https://github.com/edupegoretti/fluidz-skills.git /tmp/fluidz-skills
git -C /tmp/fluidz-skills sparse-checkout set "skills/composites/competitor-intel"
mkdir -p ~/.claude/skills/competitor-intel
cp -R "/tmp/fluidz-skills/skills/composites/competitor-intel/." ~/.claude/skills/competitor-intel/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Reproduced in full from edupegoretti/fluidz-skills/blob/a2cf697e2e8ec2ea517d85496e2d5c7f5dc44cd3/skills/composites/competitor-intel/SKILL.md, which is licensed MIT (repository). 227 words, 15 headings.

Competitor Intelligence

Automated competitor monitoring and intelligence gathering system.

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 growthx

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

CompetitorSlugStatus
GrowthX.aigrowthxActive

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)

Files bundled with it

These load only when the skill asks for them, so they cost nothing until it runs.

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what competitor-intel does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

Book a call →

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