Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add uppifyagency/bettercallclaudegrowth --skill advanced-email-marketinggit clone --depth 1 https://github.com/uppifyagency/bettercallclaudegrowthWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/uppifyagency/bettercallclaudegrowth/advanced-email-marketing)<a href="https://agentmods.dev/skills/uppifyagency/bettercallclaudegrowth/advanced-email-marketing"><img src="https://agentmods.dev/badge/skills/uppifyagency/bettercallclaudegrowth/advanced-email-marketing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/uppifyagency/bettercallclaudegrowth/advanced-email-marketing"><img src="https://agentmods.dev/badge/skills/uppifyagency/bettercallclaudegrowth/advanced-email-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.02201 |
| Opus 5 | $0.00037 | $0.01100 |
| Sonnet 5 | $0.00015 | $0.00440 |
| Haiku 4.5 | $0.00007 | $0.00220 |
Grade A, and why
advanced-email-marketing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEMA — Email Marketing Automation avanzata
Author: Alessandro Frangioni (ROADS® agency) + 20 contributors | Pages: ~237 | Chapters: 10 | Generated: 2026-06-05
How to use this skill
- Without arguments — loads the core frameworks below to design a strategy.
- With an argument — ask about
segmentation,welcome series,RFM,abandoned cart,GDPR…: the relevant chapter is read before answering. - With a chapter — ask for
ch06; that file is loaded. - Browse — "which chapters do you have?" for the full index.
When you ask about a topic not covered in the Core Frameworks below, the relevant chapter is read before answering.
Founding principle
Strategy → then platform. Profiling → then automation. Do not choose the tool before the strategy (mistake #1: only ~10% of the potential is used). And "Sending newsletters ≠ doing marketing automation" (mistake #2). Not doing MA means leaving ~70% of potential revenue on the table; email remains the channel with the highest ROI.
Email marketing today is one piece of the marketing automation puzzle, integrated with e-commerce, website, landing pages, SMS, push notifications, CRM and CDP. The inbox is an intimate place: access is a grant of trust — do not burn it with mass offers.
The 3 pillars of strategy (Matteuzzi framework → ch01)
- Analysis — 4 areas: internal, demand, competition, trends. "Blood tests" before any plan.
- Planning — 5 points (OKR-style): objectives (max 3, quarterly) → key results (max 3 per objective) → tactics (the how, anchored to the customer journey) → KPIs (leading vs lagging key results) → action list (who-what-by when).
- Execution — the most important thing is testing.
The 8 activation/segmentation triggers (→ ch05)
Lead acquisition · Email interactions · Events/dates · Contact attributes · On-site behaviour · Shopping experience · CRM · CDP. Each trigger generates both automations and dynamic segments.
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- chapters/ch01-strategia-fondamenti.md 3.3 KB
- chapters/ch02-acquisizione-lead.md 3.0 KB
- chapters/ch03-setup-deliverability-gdpr.md 3.5 KB
- chapters/ch04-email-perfetta.md 3.3 KB
- chapters/ch05-customer-journey-trigger.md 3.5 KB
- chapters/ch06-grammatica-workflow-flussi.md 3.6 KB
- chapters/ch07-segmentazione.md 3.7 KB
- chapters/ch08-tracciamento-dati.md 2.3 KB
- chapters/ch09-framework-automation.md 4.5 KB
- chapters/ch10-ai-advertising.md 5.1 KB
- cheatsheet.md 4.3 KB
- glossary.md 6.9 KB
- patterns.md 6.4 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 119 lines · 75 tokens per session scan A 4a681c62b74f
advanced-email-marketing is a skill published in the GitHub repository uppifyagency/bettercallclaudegrowth (5 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 2,201 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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