Newsletter Monitor
Scan an AgentMail inbox for newsletter signals using configurable keyword campaigns.
by gooseworks-ai · MIT
The skill
Scan an AgentMail inbox for newsletter signals using configurable keyword campaigns. Extracts matched keywords, context snippets, and company mentions from incoming emails. Use for monitoring accounting industry newsletters for buying signals like acquisitions, migrations, and staffing news.
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 supergoose@agentmail.to |
--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
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: gooseworks-ai/newsletter-monitor-66392198070.
Details
- Publisher
- gooseworks-ai
- Category
- Business › Sales & CRM
- License
- MIT
- Updated
- 2026-10-17
References
More from gooseworks-ai
- Ad Campaign Analyzer Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget te…
- Answer Ads Questions Answer questions about a brand's Meta ads (spend, results, which ad is winning, is it paused, why…
- Caption Burn Burned-in captions for a finished vertical video, three kinds.
- Compose Creator Layer Composite a generated creator track into a product layer, per beat — in the creator's zone on spl…