industry-scanner
Daily industry intelligence scanner. Scans web, social media, news, blogs, and communities for industry-relevant events, trends, and signals. Produces a comprehensive intelligence briefing plus strategic GTM opportunity ideas. Orchestrates existing scraping skills — does not reimplement data collection.
npx skills add gooseworks-ai/goose-skills --skill industry-scanner --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Industry Scanner Daily deep-research agent that scans the internet for everything relevant to a client's industry, then generates strategic GTM opportunities based on what it finds. ## Quick Start ``` Run an industry scan for <client>. Use the config at clients/<client>/config/industry-scanner.json. ``` Or for a weekly deeper scan: ``` Run a weekly industry scan for <client> with --lookback 7. ``` ## Inputs - **Client name** — determines which config and context files to load - **Lookback period** (optional) — `1` for daily (default), `7` for weekly deep scan - **Focus area** (optional) — limit scan to specific categories (e.g., "competitors only", "events only") --- ## Step-by-Step Process ### Phase 1: Load Configuration 1. Read `clients/<client>/config/industry-scanner.json` — this contains all the keywords, sources, competitors, and URLs to scan 2. Read `clients/<client>/context.md` — need the ICP, value props, and positioning to generate relevant strategies 3. Set the lookback period: use `1` day for daily scans, `7` for weekly, or whatever the user specifies 4. Note today's date for the output filename If no client config exists, ask the user for the key inputs and offer to
- Quick Start
- Inputs
- Step-by-Step Process
- Phase 1: Load Configuration
- Phase 2: Data Collection
- Phase 3: Consolidate & Categorize
- Phase 4: Generate Strategic Opportunities
- Phase 5: Generate Output
- Configuration
- Tips
- Dependencies
python3 skills/blog-feed-monitor/scripts/scrape_blogs.py \ python3 skills/reddit-post-finder/scripts/search_reddit.py \ python3 skills/twitter-mention-tracker/scripts/search_twitter.py \ python3 skills/hacker-news-scraper/scripts/search_hn.py \ python3 skills/accounting-news-monitor/scripts/monitor_news.py \ python3 skills/newsletter-monitor/scripts/scan_newsletters.py \ python3 skills/review-site-scraper/scripts/scrape_reviews.py \
What does the industry-scanner skill do?
Daily industry intelligence scanner. Scans web, social media, news, blogs, and communities for industry-relevant events, trends, and signals. Produces a comprehensive intelligence briefing plus strategic GTM opportunity ideas. Orchestrates existing scraping skills — does not reimplement data collection.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill industry-scanner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.