Newsletter Monitor — turn industry newsletters into a buying-signal feed — Claude Skill
Ein Claude-Skill für Claude Code von Gooseworks — ausführen mit /newsletter-monitor in Claude·Aktualisiert am 10. Apr. 2026
Scan inbox newsletters for keyword campaign matches
- Scans inbox via AgentMail for newsletter signals
- Configurable keyword campaigns per topic
- Extracts matched keywords and context snippets
- Surfaces company mentions
- Outputs structured signal feed
Für wen
Funktionen
Stop reading 20 newsletters per week — get the signals that match your buying triggers automatically.
Track acquisitions and mergers in your space the moment they're announced in industry newsletters.
Get hiring news from industry newsletters delivered as actionable signals.
So funktioniert's
Subscribe to relevant industry newsletters
Configure keyword campaigns per signal type
Scan incoming newsletters for matches
Extract matched snippets and company mentions
Output signal feed for follow-up
Verbesserte Metriken
Funktioniert mit
Möchten Sie Newsletter Monitor nutzen?
Wählen Sie, wie Sie starten möchten.
Installieren und führen Sie diesen Skill lokal auf Ihrem Computer aus.
Öffnen Sie ein Terminal auf Ihrem Computer und fügen Sie diesen Befehl ein:
Damit wird der Skill mit allen Dateien auf Ihren Computer heruntergeladen:
Hängen Sie -g an, damit es in allen Ihren Projekten verfügbar ist.
Starten Sie Claude Code und geben Sie den Befehl ein:
Newsletter Monitor
Scan an AgentMail inbox for newsletter signals using configurable keyword campaigns. Designed for monitoring accounting industry newsletters for buying signals like acquisitions, Sage Intacct migrations, staffing challenges, and technology adoption.
Quick Start
# Set your API key
export AGENTMAIL_API_KEY="your_key_here"
# Scan inbox with all campaigns (summary view)
python3 skills/newsletter-monitor/scripts/scan_newsletters.py --output summary
# Scan specific campaign, last 7 days
python3 skills/newsletter-monitor/scripts/scan_newsletters.py --campaign acquisitions --days 7 --output summary
# JSON output for downstream processing
python3 skills/newsletter-monitor/scripts/scan_newsletters.py --output json --limit 50
Dependencies
pip3 install agentmail python-dotenv
Configuration
Keyword campaigns are defined in config/campaigns.json. Each campaign has a description and a list of keywords for case-insensitive substring matching.
Built-in campaigns:
- acquisitions - CPA firm M&A activity
- sage_intacct - Sage Intacct migration and implementation signals
- staffing - Accounting talent and staffing challenges
- technology - Accounting technology adoption
CLI Options
| Flag | Description | Default |
|---|---|---|
--campaign NAME | Run only a specific campaign | All campaigns |
--days N | Only scan emails from last N days | No limit |
--keywords "a,b,c" | Custom keywords (overrides campaigns) | Use campaigns.json |
--output json|summary | Output format | json |
--inbox ADDRESS | Override inbox address | AGENTMAIL_INBOX env or [email protected] |
--limit N | Max messages to fetch | 100 |
Output
JSON mode (default)
Returns an array of matched messages with:
message_id,from,subject,datematched_campaigns- which campaigns triggeredmatched_keywords- specific keywords foundcontext_snippets- 200-char window around each matchcompanies_mentioned- capitalized multi-word phrases near matches
Summary mode
Human-readable report showing matched emails grouped by campaign with snippets and detected companies.
Downstream Skills
When newsletter signals are found, chain to:
- company-contact-finder - look up contacts at mentioned companies
- accounting-news-monitor - combine with direct news monitoring for fuller signal coverage