AI 스킬Monitor NewslettersSales

Newsletter Monitor — turn industry newsletters into a buying-signal feed — Claude Skill

Claude Code용 Claude 스킬 · 제공: Gooseworks · 실행: /newsletter-monitor (Claude 내)·업데이트: 2026년 4월 10일

호환Claude·ChatGPT·OpenClaw

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

대상

기능

Industry newsletter intelligence

Stop reading 20 newsletters per week — get the signals that match your buying triggers automatically.

Acquisition watch

Track acquisitions and mergers in your space the moment they're announced in industry newsletters.

Hiring signal feed

Get hiring news from industry newsletters delivered as actionable signals.

작동 방식

1

Subscribe to relevant industry newsletters

2

Configure keyword campaigns per signal type

3

Scan incoming newsletters for matches

4

Extract matched snippets and company mentions

5

Output signal feed for follow-up

개선되는 지표

Lead Generation
More qualified leads from converting newsletter signals into outbound
Sales

지원 도구

Newsletter Monitor을(를) 사용해 보시겠어요?

시작 방법을 선택하세요.

Claude Code에서 실행
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1
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3
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팀 및 협업 기능

브라우저에서 스킬을 실행. 결과 공유, 액세스 관리, 팀과 협업. 터미널 불필요.

14일 무료 평가판. 언제든 취소 가능.

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

FlagDescriptionDefault
--campaign NAMERun only a specific campaignAll campaigns
--days NOnly scan emails from last N daysNo limit
--keywords "a,b,c"Custom keywords (overrides campaigns)Use campaigns.json
--output json|summaryOutput formatjson
--inbox ADDRESSOverride inbox addressAGENTMAIL_INBOX env or [email protected]
--limit NMax messages to fetch100

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