New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Newsletter Signal Scanner

by gooseworks-ai in gooseworks-ai/goose-skills

Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts.

MITAuto-check passedWriting & Content

Install Newsletter Signal Scanner

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill newsletter-signal-scanner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills newsletter-signal-scanner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monitoring/composites/newsletter-signal-scanner .claude/skills/newsletter-signal-scanner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
newsletter-signal-scanner
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.6k tokens
SKILL.md length
477 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts.

  • Works in 6 steps: Intake → Scan Inbox → Apply Keyword Campaigns → …
  • A marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading
  • SKILL.md covers When to Use, Phase 0: Intake, Phase 1: Scan Inbox and Phase 2: Apply Keyword Campaigns, plus 7 more sections
  • Calls pip3; needs AGENTMAIL_API_KEY

What it does

Newsletter Signal Scanner is an agent skill from gooseworks-ai/goose-skills. Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts. Parses incoming newsletter emails via AgentMail, matches against keyword campaigns, and delivers a weekly digest of actionable signals. Use when a marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Writing & Content, covering Newsletters. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • A marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading
  • Tasks that involve Newsletters

Example prompts

  • “/newsletter-signal-scanner”

Requirements

  • Python 3
  • A credential in AGENTMAIL_API_KEY

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Intake
  2. Scan Inbox
  3. Apply Keyword Campaigns
  4. Extract Signal Snippets
  5. Output Format
  6. Setup — Subscribe to Newsletters

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip3, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AGENTMAIL_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Newsletter Signal Scanner loads about 1.6k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 477 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 477 words, ~1,599 tokens.

Download SKILL.mdSave it as .claude/skills/newsletter-signal-scanner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
newsletter-signal-scanner
description
Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts. Parses incoming newsletter emails via AgentMail, matches against keyword campaigns, and delivers a weekly digest of actionable signals. Use when a marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading.
tags
monitoring

Newsletter Signal Scanner

Turn your newsletter subscriptions into a structured intelligence feed. Monitors an AgentMail inbox for incoming newsletters, extracts signal-relevant content by keyword campaign, and delivers a weekly digest of what matters — competitor mentions, ICP pain language, market shifts, and emerging topics.

When to Use

  • "Monitor industry newsletters for competitor mentions"
  • "Alert me when newsletters mention [topic] or [company]"
  • "What are newsletters writing about this week in our space?"
  • "Set up newsletter monitoring for [client]"

Phase 0: Intake

Newsletters to Monitor
  1. Which newsletters should be subscribed to and monitored? (List names or URLs)
    • If unknown, ask: "What 3-5 newsletters does your ICP read?" — then use sponsored-newsletter-finder to discover others.
  2. Which AgentMail inbox should receive them? (Or should we create a new one?)
Keyword Campaigns
  1. Competitor names to track (e.g., "Clay", "Apollo", "Outreach")
  2. ICP pain-language terms to track (e.g., "outbound struggling", "pipeline dried up", "SDR ramp")
  3. Market shift terms (e.g., "AI SDR", "agent-led growth", "GTM engineer")
  4. Your brand name (to catch mentions)
Output
  1. Digest delivery: Slack channel, email, or markdown file? (default: markdown file)
  2. Frequency: daily or weekly? (default: weekly)

Save campaign config to the current working directory as newsletter-signals.json (or user-specified path).

json
{
  "inbox_id": "<agentmail_inbox_id>",
  "keyword_campaigns": {
    "competitors": ["Clay", "Apollo", "Outreach", "Salesloft"],
    "pain_language": ["pipeline is down", "outbound isn't working", "SDR ramp"],
    "market_shifts": ["AI SDR", "GTM engineer", "agent-led"],
    "brand_mentions": ["YourCompany", "yourcompany.com"]
  },
  "newsletters": [
    {"name": "Exit Five", "from_domain": "exitfive.com"},
    {"name": "The GTM Newsletter", "from_domain": "gtmnewsletter.com"}
  ],
  "output": {
    "format": "markdown",
    "path": "newsletter-signals-[DATE].md"
  }
}

Phase 1: Scan Inbox

Use the AgentMail API (agentmail.dev) to fetch new emails from the monitored inbox:

Fetch emails from inbox <inbox_id> since <last_scan_date>
Filter to: known newsletter senders (match against newsletters config)

For each email:

  • Extract subject, sender, date, full body text
  • Strip HTML → plain text for analysis

Phase 2: Apply Keyword Campaigns

For each newsletter email, scan for keyword matches:

python
for email in emails:
    matches = {}
    for campaign, keywords in keyword_campaigns.items():
        found = []
        for keyword in keywords:
            if keyword.lower() in email.body.lower():
                # Extract context: 50 chars before + keyword + 50 chars after
                context = extract_context(email.body, keyword)
                found.append({"keyword": keyword, "context": context})
        if found:
            matches[campaign] = found
    email.signal_matches = matches

Only include emails with at least one keyword match in the digest.

Show full SKILL.md (218 more words)Show less

Phase 3: Extract Signal Snippets

For each matched email, extract clean signal snippets:

Competitor mention example:

Newsletter: The GTM Newsletter | Date: 2026-03-05 Campaign: competitors Keyword: "Clay" Context: "...teams that use Clay for enrichment are seeing 3x better personalization rates compared to..."

Pain language example:

Newsletter: Exit Five | Date: 2026-03-04 Campaign: pain_language Keyword: "outbound isn't working" Context: "...a lot of founders telling me outbound isn't working the way it used to. The reply rates I'm seeing..."

Phase 4: Output Format

markdown
# Newsletter Signal Digest — Week of [DATE]

## Summary
- Newsletters scanned: [N]
- Emails with signals: [N]
- Top trending topic: [topic]

---

## Competitor Mentions

### Clay
- **[Newsletter Name]** — [Date]
  > "[Context snippet]"
  Source: [email subject] | [URL if available]

### [Other Competitor]
...

---

## ICP Pain Language

Signals suggesting your ICP is feeling pain your product solves:

- **[Newsletter Name]** — [Date]
  > "[Context snippet]"
  — Relevance: [why this matters]

---

## Market Shift Signals

Emerging topics gaining newsletter coverage:

- **"[Topic]"** — mentioned in [N] newsletters this week
  > "[Context snippet]"

---

## Your Brand Mentions
[Any mentions of your company or product]

---

## Recommended Actions
1. [Specific action based on signals — e.g., "Exit Five is covering AI SDR fatigue — good moment to publish our take"]
2. [Competitive response if needed]

Save to the current working directory as newsletter-signals-[YYYY-MM-DD].md (or user-specified path).

Phase 5: Setup — Subscribe to Newsletters

For first-time setup, subscribe the AgentMail address to target newsletters:

  1. Get the AgentMail inbox address (via AgentMail API at agentmail.dev)
  2. For each newsletter, visit subscription page and submit the AgentMail address
  3. Confirm subscriptions (check inbox for confirmation emails)
  4. Allow 1-2 weeks of accumulation before first full digest

Scheduling

Run weekly (Monday morning recommended):

bash
# Every Monday at 7am — before the team's standup
0 7 * * 1 python3 run_skill.py newsletter-signal-scanner --client <client-name>

Cost

ComponentCost
AgentMail inboxDepends on AgentMail pricing
Email parsing + keyword matchingFree (local logic)
TotalNear-zero ongoing cost

Tools Required

  • AgentMail API (agentmail.dev) — for inbox access. Requires AGENTMAIL_API_KEY environment variable and the agentmail pip package (pip3 install agentmail).

Trigger Phrases

  • "Scan newsletters for this week's signals"
  • "What are industry newsletters saying about [topic]?"
  • "Run newsletter signal scanner for [client]"
  • "Set up newsletter monitoring"

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/monitoring/composites/newsletter-signal-scanner of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Newsletter Signal Scanner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Newsletter Signal Scanner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Newsletter Signal Scanner this skillgooseworks-ai/goose-skills1.2k1 repos~1.6kAutomated safety check: PassMIT
Internal Communications Writeranthropics/skills180k38 repos~378Automated safety check: PassApache-2.0
Clarityaddyosmani/clarity2691 repos~1.9kAutomated safety check: PassMIT
News Aggregator Skillcclank/news-aggregator-skill1.3k—~2.1kAutomated safety check: PassNone
Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide6.1k—~1.8kAutomated safety check: NotesCC-BY-SA-4.0
Newsletter Voicecharlie947/social-media-skills3.8k—~2.5kAutomated safety check: PassMIT

Similar skills

  • Internal Communications Writer

    anthropics/skills

    Official

    A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill…

    180k GitHub starsUsed in 38 repos~378 tokens
    Writing & ContentAuto-check passed

  • Clarity

    addyosmani/clarity

    Draft, rewrite, or review reader-facing prose so it is specific, useful, and recognizably the author's without inventing facts or performing humanness.

    269 GitHub starsUsed in 1 repo~1.9k tokens
    Writing & ContentAuto-check passed

  • News Aggregator Skill

    cclank/news-aggregator-skill

    Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 44+ sources including Hacker News, Lobsters, Dev.to, GitHub, arXiv, Hugging Face Papers, AIHOT, TLDR…

    1.3k GitHub stars~2.1k tokensUpdated 4 mo ago
    Writing & ContentAuto-check passed

  • Changelog Social Recap

    FlorianBruniaux/claude-code-ultimate-guide

    Turns CHANGELOG.md entries for a release or a week into LinkedIn, Twitter/X, newsletter and Slack posts in French and English.

    6.1k GitHub stars~1.8k tokensUpdated today
    Writing & ContentAuto-check: notes

  • Newsletter Voice

    charlie947/social-media-skills

    Build newsletter writing instructions inside a Codex or Claude project.

    3.8k GitHub stars~2.5k tokensUpdated 26 days ago
    Writing & ContentAuto-check passed

  • News Extractor

    NanmiCoder/NewsCrawler

    新闻站点内容提取。支持 12 个平台：微信公众号、今日头条、网易新闻、搜狐新闻、腾讯新闻、BBC News、CNN News、Twitter/X、Lenny's Newsletter、Naver Blog、Detik News、Quora。当用户需要提取新闻内容、抓取公众号文章、爬取新闻、或获取新闻JSON/Markdown时激活。

    624 GitHub stars~1.3k tokensUpdated 2 mo ago
    Writing & ContentAuto-check passed

More from gooseworks-ai/goose-skills

All 273 skills in this repo

  • Reddit Post Finder

    gooseworks-ai/goose-skills

    Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.

    1.2k GitHub starsUsed in 1 repo~1.2k tokens
    Auto-check passed

  • Create Image Fal

    gooseworks-ai/goose-skills

    Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.

    1.2k GitHub stars~1.3k tokensUpdated today
    Auto-check passed

  • Render Hook Replacement

    gooseworks-ai/goose-skills

    Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

  • Blog Feed Monitor

    gooseworks-ai/goose-skills

    Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.

    1.2k GitHub starsUsed in 1 repo~578 tokens
    Auto-check passed

  • Competitor Post Engagers

    gooseworks-ai/goose-skills

    Find leads by scraping engagers from a competitor's top LinkedIn posts.

    1.2k GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check: notes

  • Render Chatgpt Chat

    gooseworks-ai/goose-skills

    Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Categories

Questions about Newsletter Signal Scanner

What does Newsletter Signal Scanner do?

Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts. Newsletter Signal Scanner is an agent skill from gooseworks-ai/goose-skills. Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts.

When should I use Newsletter Signal Scanner?

Newsletter Signal Scanner fits situations like: A marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading; tasks that involve Newsletters.

How do I install Newsletter Signal Scanner in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill newsletter-signal-scanner -a claude-code`. Or copy the skill folder (skills/monitoring/composites/newsletter-signal-scanner in gooseworks-ai/goose-skills) into .claude/skills/newsletter-signal-scanner in your project. Claude Code loads it when a task matches its description.

How do I install Newsletter Signal Scanner in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill newsletter-signal-scanner -a codex`. Or copy the skill folder (skills/monitoring/composites/newsletter-signal-scanner in gooseworks-ai/goose-skills) into .agents/skills/newsletter-signal-scanner in your project. Codex loads it when a task matches its description.

Can I use Newsletter Signal Scanner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill newsletter-signal-scanner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/newsletter-signal-scanner, .gemini/skills/newsletter-signal-scanner, .github/skills/newsletter-signal-scanner and .opencode/skills/newsletter-signal-scanner in your project.

What does Newsletter Signal Scanner need to run?

Going by SKILL.md and its folder, Newsletter Signal Scanner needs the command-line tools its instructions call (pip3) and credentials named AGENTMAIL_API_KEY. Our summary lists: Python 3; A credential in AGENTMAIL_API_KEY.

Does Newsletter Signal Scanner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Newsletter Signal Scanner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Newsletter Signal Scanner use?

Newsletter Signal Scanner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Newsletter Signal Scanner use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Newsletter Signal Scanner?

Skills that share tags, products or a category with Newsletter Signal Scanner: Internal Communications Writer (anthropics/skills, 180k stars), Clarity (addyosmani/clarity, 269 stars), News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars) and Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Newsletter Signal Scanner?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.