Skip to content
cccskills
FreePublished on GitHub

newsletter-monitor

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.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills

Run score Not tested

See how to install

Files included (4)

  • SKILL.md2.7 KB
  • config/campaigns.json858 B
  • scripts/scan_newsletters.py14.5 KB
  • skill.meta.json316 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

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 supergoose@agentmail.to
--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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

ad-angle-miner

Free

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

ad-campaign-analyzer

Free

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

ad-lead-quality-analyzer

Free

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

ad-management-intake

Free

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

ad-policy-check

Free

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

ad-to-landing-page-auditor

Free

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

See all skills by gooseworks-ai

Report a problem with this skill