Newsletter monitor

Skill gooseworks-ai/goose-skills/skills/monitoring/composites/newsletter-monitor

Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping

Install

npx -y skills add gooseworks-ai/goose-skills --skill newsletter-monitor

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What its author says it does

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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.

SKILL.md

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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, date
matched_campaigns - which campaigns triggered
matched_keywords - specific keywords found
context_snippets - 200-char window around each match
companies_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