Apify Multi-Platform Scraper
apify/agent-skills
Scrapes public data from social, maps, search and review platforms by choosing from about a hundred Apify Actors and running them through the Apify CLI.
Set up and run ongoing competitive intelligence monitoring for a client.
Install Competitor Monitoring System
$ npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills competitor-monitoring-system --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitive-intel/playbooks/competitor-monitoring-system .claude/skills/competitor-monitoring-system && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "competitor-monitoring-system" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-system into .claude/skills/competitor-monitoring-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-monitoring-system", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-systemType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills competitor-monitoring-system --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/competitive-intel/playbooks/competitor-monitoring-system .agents/skills/competitor-monitoring-system && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "competitor-monitoring-system" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-system into .agents/skills/competitor-monitoring-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-monitoring-system", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills competitor-monitoring-system --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/competitive-intel/playbooks/competitor-monitoring-system .cursor/skills/competitor-monitoring-system && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "competitor-monitoring-system" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-system into .cursor/skills/competitor-monitoring-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-monitoring-system", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/competitive-intel/playbooks/competitor-monitoring-system--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills competitor-monitoring-system --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/competitive-intel/playbooks/competitor-monitoring-system .gemini/skills/competitor-monitoring-system && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "competitor-monitoring-system" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-system into .gemini/skills/competitor-monitoring-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-monitoring-system", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills competitor-monitoring-systemInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/competitive-intel/playbooks/competitor-monitoring-system .github/skills/competitor-monitoring-system && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "competitor-monitoring-system" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-system into .github/skills/competitor-monitoring-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-monitoring-system", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills competitor-monitoring-system --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/competitive-intel/playbooks/competitor-monitoring-system .opencode/skills/competitor-monitoring-system && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "competitor-monitoring-system" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/competitive-intel/playbooks/competitor-monitoring-system into .opencode/skills/competitor-monitoring-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-monitoring-system", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
competitor-monitoring-system- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~995 tokens
- SKILL.md length
- 340 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Set up and run ongoing competitive intelligence monitoring for a client.
- Works in 5 steps: Define Competitor Watchlist → Initial Competitive Baseline → Configure Monitoring Cadence → …
- Tasks that involve Competitor analysis
- SKILL.md covers When to Use, Prerequisites, Setup Steps and Ongoing Cadence, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Competitor Monitoring System is an agent skill from gooseworks-ai/goose-skills. Set up and run ongoing competitive intelligence monitoring for a client. Tracks competitor content, ads, reviews, social, and product moves.
Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Marketing & SEO, covering Competitor analysis and Web scraping. It works with Reddit. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Tasks that involve Competitor analysis
- Tasks that involve Web scraping
Example prompts
- “/competitor-monitoring-system”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Competitor Monitoring System loads about 995 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 340 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 340 words, ~995 tokens.
Download SKILL.mdSave it as
.claude/skills/competitor-monitoring-system/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- 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.
- type
- playbook
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
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/competitive-intel/playbooks/competitor-monitoring-system of gooseworks-ai/goose-skills.
- SKILL.md
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Compare with similar skills
Competitor Monitoring System next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Competitor Monitoring System this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~995 | Automated safety check: Pass | MIT | |
| Apify Multi-Platform Scraperapify/agent-skills | 2.4k | 2 repos | ~1.4k | Automated safety check: Notes | None | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor ProfilingNexus-JPF/note-companion | 870 | 4 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Reddit Competitor Analysis API Skillbrowser-act/skills | 6.1k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Competitor Analysisaaron-he-zhu/aaron-marketing-skills | 2.9k | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Competitor Monitoring System
What does Competitor Monitoring System do?
Set up and run ongoing competitive intelligence monitoring for a client. Competitor Monitoring System is an agent skill from gooseworks-ai/goose-skills. Set up and run ongoing competitive intelligence monitoring for a client.
When should I use Competitor Monitoring System?
Competitor Monitoring System fits situations like: tasks that involve Competitor analysis; tasks that involve Web scraping.
How do I install Competitor Monitoring System in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a claude-code`. Or copy the skill folder (skills/competitive-intel/playbooks/competitor-monitoring-system in gooseworks-ai/goose-skills) into .claude/skills/competitor-monitoring-system in your project. Claude Code loads it when a task matches its description.
How do I install Competitor Monitoring System in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a codex`. Or copy the skill folder (skills/competitive-intel/playbooks/competitor-monitoring-system in gooseworks-ai/goose-skills) into .agents/skills/competitor-monitoring-system in your project. Codex loads it when a task matches its description.
Can I use Competitor Monitoring System in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill competitor-monitoring-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitor-monitoring-system, .gemini/skills/competitor-monitoring-system, .github/skills/competitor-monitoring-system and .opencode/skills/competitor-monitoring-system in your project.
What does Competitor Monitoring System need to run?
SKILL.md names no scripts, command-line tools or credentials: Competitor Monitoring System is instructions for the agent only.
Does Competitor Monitoring System access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Competitor Monitoring System safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Competitor Monitoring System use?
Competitor Monitoring System is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Competitor Monitoring System use?
About 995 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Competitor Monitoring System?
Skills that share tags, products or a category with Competitor Monitoring System: Apify Multi-Platform Scraper (apify/agent-skills, 2.4k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Profiling (Nexus-JPF/note-companion, 870 stars) and Reddit Competitor Analysis API Skill (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Competitor Monitoring System?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.