14-email-marketing

14-email-marketing is a skill for Claude Code from minhnv0807/ai-business-skills. It costs 189 tokens per session (6,226 once invoked), scanned A, original, MIT.

A guide to planning automated email and Zalo message sequences, such as welcome, follow-up, promotional, and win-back campaigns. It covers audiences, message flow, subject lines, sending frequency, testing, and results tracking.

In plain words
What is it for?
Use it to design email campaigns, group subscribers, write subject lines, plan automated messages, run A/B tests, and track opens and clicks.
Why use it?
It helps avoid sending the same message to everyone or sending messages without a clear purpose. It gives each campaign a planned sequence and a way to measure whether it works.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the ai-business-skills plugin — 144 skills, 6 agents, 10 MCP servers shipped together

Good fit Use it to design email campaigns, group subscribers, write subject lines, plan automated messages, run A/B tests, and track opens and clicks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/minhnv0807/ai-business-skills/14-email-marketing
Install

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.

Any agent
npx skills add minhnv0807/ai-business-skills --skill 14-email-marketing
Clone the repo
git clone --depth 1 https://github.com/minhnv0807/ai-business-skills

Made for: Claude Code.

Or install ai-business-skills, the plugin that ships this one along with the rest of its 144 skills, 6 agents, 10 MCP servers.

Wrote 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.

agentmods badge for 14-email-marketing

README.md
[![agentmods](https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/14-email-marketing/github.svg)](https://agentmods.dev/skills/minhnv0807/ai-business-skills/14-email-marketing)
Your own site
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/14-email-marketing"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/14-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.

agentmods 80×15 button for 14-email-marketing

Your own site · 80×15
<a href="https://agentmods.dev/skills/minhnv0807/ai-business-skills/14-email-marketing"><img src="https://agentmods.dev/badge/skills/minhnv0807/ai-business-skills/14-email-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 152
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00189 $0.06226
Opus 5 $0.00095 $0.03113
Sonnet 5 $0.00038 $0.01245
Haiku 4.5 $0.00019 $0.00623

Measured 9d ago against content hash 77cac616d5a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

14-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 9d 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.

skills/vi/14-email-marketing/SKILL.md · 442 lines

How it starts

The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Email Marketing

Email la kenh so huu — khong phu thuoc thuat toan, khong mat tien tiep can lai nguoi da dang ky.


Thu thap thong tin

Hoi user toi da 4 cau:

  1. San pham/dich vu gi? Mo ta ngan + doi tuong khach hang.
  2. Muc tieu email? Thu lead moi, nurture lead cu, ban hang, hay re-engage khach cu?
  3. Da co list email chua? Bao nhieu subscriber? Da phan loai nhom chua?
  4. Dang dung tool nao? Brevo, Mailchimp, Kit, hay chua co? Da setup domain chua?

Nguyen tac cot loi

Nguyen tac Giai thich
Gia tri truoc ban hang 80% email cung cap gia tri, 20% email ban hang
Phan khuc truoc gui Khong bao gio gui cung 1 email cho toan bo list
1 email = 1 muc dich Moi email chi co 1 CTA chinh
Mobile-first 70%+ doc email tren dien thoai — thiet ke cho man hinh nho truoc
Test lien tuc A/B test subject line va thoi gian gui moi tuan
Ton trong nguoi nhan Co link unsubscribe ro rang, khong spam

Cau truc 1 email

Thanh phan Gioi han Vai tro
Subject line 50 ky tu (30 ky tu hien thi tren mobile) Quyet dinh open rate
Preview text 90 ky tu Bo sung cho subject line, tang open rate
Header Logo + ten thuong hieu Nhan dien nhanh
Body 150–300 tu (nurture), 100–200 tu (promotion) Noi dung chinh
CTA 1 CTA chinh, toi da 1 CTA phu Chuyen doi
Footer Unsubscribe + dia chi + lien he Tuan thu phap luat

Cong thuc Subject Line

5 cong thuc hieu qua

Cong thuc Vi du Khi dung
Curiosity (To mo) "Dieu 90% nguoi lam sai khi [chủ de]" TOFU, nurture
Benefit (Loi ich) "[Ket qua] trong [thoi gian] — day la cach" MOFU, nurture
Urgency (Khan cap) "Con 24h — [uu dai] het han ngay mai" BOFU, promotion
Personalization (Ca nhan) "[Ten], minh co thu nay cho ban" Re-engage, VIP
Number (So lieu) "5 buoc de [dat ket qua] — buoc 3 quan trong nhat" Giao duc, nurture

Read the full file on GitHub · 442 lines

Files

What ships with it

2 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.

Changes

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.

  1. 9d ago First seen · 442 lines · 189 tokens per session scan A 77cac616d5a1

Subscribe to this mod's changes

14-email-marketing is a skill published in the GitHub repository minhnv0807/ai-business-skills (572 stars, last pushed 26d ago), licensed MIT. It adds 189 tokens to every session and 6,226 once invoked, about $0.0009 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 2026-09-03.