Set up and run ongoing competitive intelligence monitoring
Competitor monitoring system
Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves.
--- type: playbook name: competitor-monitoring-system description: > Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves. --- # Competitor Monitoring System Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports. ## When to Use - "Set up competitor monitoring for [client]" - "Track what [competitors] are doing" - "Monitor [competitor] content and ads"
Overview
Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports.
Manual install (npx, ZIP)
Claude Code
npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -g -a claude-codeClaude Code (manual)
mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/gooseworks-ai/goose-skills/tar.gz/615c685f34f8 \
| tar -xz -C ~/.claude/skills --strip-components=4 goose-skills-615c685f34f8/skills/competitive-intel/playbooks/competitor-monitoring-systemWindows (PowerShell)
New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/3a17627073e4087ea7dc/competitor-monitoring-system.zip" -OutFile "$env:TEMP\competitor-monitoring-system.zip"; Expand-Archive "$env:TEMP\competitor-monitoring-system.zip" -DestinationPath "$HOME\.claude\skills" -ForceClaude.ai / desktop
Codex, Cursor, other agents
Connects with Agent Alley MCP · agentalley.io/mcp
Files included
SKILL.md3.9 KBskill.meta.json285 B
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SKILL.md
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Competitor Monitoring System
Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports.
When to Use
- "Set up competitor monitoring for [client]"
- "Track what [competitors] are doing"
- "Monitor [competitor] content and ads"
Prerequisites
- List of competitors to track (typically 3-7)
- Client context with competitive positioning
- Competitor founder/executive LinkedIn profiles (for social monitoring)
Setup Steps
1. Define Competitor Watchlist
Create a competitor tracking file: clients/<client-name>/intelligence/competitor-watchlist.md
For each competitor, document:
- Company name and URL
- Key products/features
- Founder/exec LinkedIn profiles
- Known content channels (blog URL, YouTube, podcast)
- Review profiles (G2, Capterra URLs)
- Ad library pages (Meta, Google)
2. Initial Competitive Baseline
Run the full competitor-intel composite for each competitor to establish a baseline:
Skill: competitor-intel (chains reddit + twitter + linkedin + blog + review scrapers)
Plus:
- Skill: google-ad-scraper — Scrape their current Google ads
- Method: Use
web_searchagainst Meta Ad Library (facebook.com/ads/library) for Meta ad research - Skill: review-site-scraper — Pull latest G2/Capterra/Trustpilot reviews
Output: clients/<client-name>/intelligence/competitor-baseline.md
3. Configure Monitoring Cadence
| What to Monitor | Frequency | Skill | What to Look For |
|---|---|---|---|
| Blog/content output | Weekly | blog-feed-monitor | New posts, topic shifts, SEO attacks |
| Social media posts | Weekly | linkedin-profile-post-scraper + twitter-mention-tracker | Messaging changes, product announcements, engagement patterns |
| Reddit/HN mentions | Weekly | reddit-post-finder + hacker-news-scraper | User sentiment, complaints, praise, feature requests |
| Ad creative changes | Bi-weekly | google-ad-scraper + web_search (Meta Ad Library) | New campaigns, messaging shifts, spend changes |
| Review sentiment | Monthly | review-site-scraper | New reviews, rating trends, common complaints |
4. Run Monitoring
Each monitoring cycle:
- Run the relevant scrapers for the cycle type
- Compare new data against the baseline/previous cycle
- Flag significant changes:
- New product features or pricing changes
- New content targeting our client's keywords
- Negative review trends (poaching opportunity)
- New ad campaigns (messaging intelligence)
- Founder/exec public statements about strategy
5. Produce Intelligence Report
After each cycle, produce a brief intelligence summary:
# Competitor Intelligence — [Client] — Week of [Date]
## Key Changes
- [Competitor A] published 3 new blog posts targeting "[keyword]"
- [Competitor B] launched new Meta ad campaign focused on [theme]
- [Competitor C] received 5 negative G2 reviews about [issue]
## Recommended Actions
- Publish response content for [Competitor A]'s keyword attack
- Create comparison page addressing [Competitor B]'s new messaging
- Target [Competitor C]'s unhappy customers with migration content
## Detailed Findings
[Per-competitor breakdown]
Output: clients/<client-name>/intelligence/competitor-reports/[date].md
Ongoing Cadence
- Weekly: Content + social monitoring, brief report
- Bi-weekly: Ad monitoring
- Monthly: Full review scrape + comprehensive report
- Quarterly: Re-run full competitor-intel baseline, update watchlist
Human Checkpoints
- After setup: Review competitor watchlist and monitoring plan
- After each report: Review recommended actions before executing
| 1 | |
| 2 | type playbook |
| 3 | name competitor-monitoring-system |
| 4 | description > |
| 5 | Set up and run ongoing competitive intelligence monitoring for a client. |
| 6 | Tracks competitor content, ads, reviews, social, and product moves. |
| 7 | |
| 8 | |
| 9 | # Competitor Monitoring System |
| 10 | |
| 11 | Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports. |
| 12 | |
| 13 | ## When to Use |
| 14 | |
| 15 | "Set up competitor monitoring for [client]" |
| 16 | "Track what [competitors] are doing" |
| 17 | "Monitor [competitor] content and ads" |
| 18 | |
| 19 | ## Prerequisites |
| 20 | |
| 21 | List of competitors to track (typically 3-7) |
| 22 | Client context with competitive positioning |
| 23 | Competitor founder/executive LinkedIn profiles (for social monitoring) |
| 24 | |
| 25 | ## Setup Steps |
| 26 | |
| 27 | ### 1. Define Competitor Watchlist |
| 28 | |
| 29 | Create a competitor tracking file: `clients/<client-name>/intelligence/competitor-watchlist.md` |
| 30 | |
| 31 | For each competitor, document: |
| 32 | Company name and URL |
| 33 | Key products/features |
| 34 | Founder/exec LinkedIn profiles |
| 35 | Known content channels (blog URL, YouTube, podcast) |
| 36 | Review profiles (G2, Capterra URLs) |
| 37 | Ad library pages (Meta, Google) |
| 38 | |
| 39 | ### 2. Initial Competitive Baseline |
| 40 | |
| 41 | Run the full competitor-intel composite for each competitor to establish a baseline: |
| 42 | |
| 43 | **Skill**: competitor-intel (chains reddit + twitter + linkedin + blog + review scrapers) |
| 44 | |
| 45 | Plus: |
| 46 | **Skill**: google-ad-scraper — Scrape their current Google ads |
| 47 | **Method**: Use `web_search` against Meta Ad Library (facebook.com/ads/library) for Meta ad research |
| 48 | **Skill**: review-site-scraper — Pull latest G2/Capterra/Trustpilot reviews |
| 49 | |
| 50 | **Output**: `clients/<client-name>/intelligence/competitor-baseline.md` |
| 51 | |
| 52 | ### 3. Configure Monitoring Cadence |
| 53 | |
| 54 | | What to Monitor | Frequency | Skill | What to Look For | |
| 55 | |----------------|-----------|-------|-----------------| |
| 56 | | Blog/content output | Weekly | blog-feed-monitor | New posts, topic shifts, SEO attacks | |
| 57 | | Social media posts | Weekly | linkedin-profile-post-scraper + twitter-mention-tracker | Messaging changes, product announcements, engagement patterns | |
| 58 | | Reddit/HN mentions | Weekly | reddit-post-finder + hacker-news-scraper | User sentiment, complaints, praise, feature requests | |
| 59 | | Ad creative changes | Bi-weekly | google-ad-scraper + web_search (Meta Ad Library) | New campaigns, messaging shifts, spend changes | |
| 60 | | Review sentiment | Monthly | review-site-scraper | New reviews, rating trends, common complaints | |
| 61 | |
| 62 | ### 4. Run Monitoring |
| 63 | |
| 64 | Each monitoring cycle: |
| 65 | |
| 66 | Run the relevant scrapers for the cycle type |
| 67 | Compare new data against the baseline/previous cycle |
| 68 | Flag significant changes: |
| 69 | New product features or pricing changes |
| 70 | New content targeting our client's keywords |
| 71 | Negative review trends (poaching opportunity) |
| 72 | New ad campaigns (messaging intelligence) |
| 73 | Founder/exec public statements about strategy |
| 74 | |
| 75 | ### 5. Produce Intelligence Report |
| 76 | |
| 77 | After each cycle, produce a brief intelligence summary: |
| 78 | |
| 79 | |
| 80 | # Competitor Intelligence — [Client] — Week of [Date] |
| 81 | |
| 82 | ## Key Changes |
| 83 | - [Competitor A] published 3 new blog posts targeting "[keyword]" |
| 84 | - [Competitor B] launched new Meta ad campaign focused on [theme] |
| 85 | - [Competitor C] received 5 negative G2 reviews about [issue] |
| 86 | |
| 87 | ## Recommended Actions |
| 88 | - Publish response content for [Competitor A]'s keyword attack |
| 89 | - Create comparison page addressing [Competitor B]'s new messaging |
| 90 | - Target [Competitor C]'s unhappy customers with migration content |
| 91 | |
| 92 | ## Detailed Findings |
| 93 | [Per-competitor breakdown] |
| 94 | |
| 95 | |
| 96 | **Output**: `clients/<client-name>/intelligence/competitor-reports/[date].md` |
| 97 | |
| 98 | ## Ongoing Cadence |
| 99 | |
| 100 | **Weekly**: Content + social monitoring, brief report |
| 101 | **Bi-weekly**: Ad monitoring |
| 102 | **Monthly**: Full review scrape + comprehensive report |
| 103 | **Quarterly**: Re-run full competitor-intel baseline, update watchlist |
| 104 | |
| 105 | ## Human Checkpoints |
| 106 | |
| 107 | **After setup**: Review competitor watchlist and monitoring plan |
| 108 | **After each report**: Review recommended actions before executing |
| 109 |
Details
- Updated
- Sep 21, 2026
- License
- MIT
- Stars on the repo
- ★ 1,220
- Checked
- Source
- gooseworks-ai/goose-skills ↗
- Creator
- gooseworks-ai · 206 listings
Made with competitor-monitoring-system
Competitor monitoring system — CleanShot 2026-07-13 at 20 16 54@2x (from the gooseworks-ai/goose-skills README)
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