This skill teaches an agent how to audit an email setup, build common flows, draft copy, direct email design, and diagnose deliverability problems. It also adds send-safety gates, compliance checks, and industry playbooks so the agent works from proven patterns instead of generic model output.
Builders who want an agent to help with email campaigns, flows, and deliverability.
You can have your agent plan, draft, audit, and stage email work with fewer wrong assumptions and safer sends.
Builds welcome, cart, post-purchase, and win-back flows from a prompt, then reviews timing, exits, and copy before launch.
Checks flows, segments, deliverability, and compliance, then points out what is missing.
Writes using PAS, AIDA, and BAB, then strips the obvious AI tells before send.
Uses Discover, Define, Deliver, screenshot critique, and inbox-safe output formats like MJML or React Email.
Operates Klaviyo, Resend, beehiiv, Mailchimp, Omnisend, or Nitrosend through connectors with pre-send gates.
Covers authentication, reputation, content, inbox placement, and warming.
Includes tactics for 19 verticals, from ecommerce and SaaS to nonprofits and publishing.
Treats GDPR, CAN-SPAM, CASL, CCPA, and the Australian Spam Act as gates before sending.
git clone https://github.com/CosmoBlk/email-marketing-bible.git ~/.claude/skills/email-marketing-bible
"Audit my Klaviyo account for a DTC skincare brand doing $2M/year. I have a welcome series, abandoned cart, and one weekly newsletter. What am I missing, and build me whatever flow would earn the most first."
"My emails are landing in Gmail promotions and opens dropped from 22% to 14% over three months. What is going on and how do I fix it?"
"Here is a draft welcome email. Make it sound like a person, not an AI, and keep it on our brand voice."
"Design a launch email for a premium coffee brand. List 15 directions first, I will pick. Then build the pick as MJML and run a critic loop on the render."
The AI email automation skill for Claude, ChatGPT, and any agent. v2.7, 8 September 2026.
Install it and your AI stops guessing about email. It audits your setup, builds flows from a prompt, drafts copy in your voice, directs email design instead of accepting the model's defaults, tells you why you are in spam, and runs your ESP through MCP with a hard rule that nothing blasts without your say-so.
Built from 908 sources, the experience of running SmartrMail (~28,000 customers, 6 billion emails, acquired 2022), and three months of running Nitrosend's own sending through agents. 19 chapters, 19 industry playbooks, 47 curated email designs. Free and open source.
git clone https://github.com/CosmoBlk/email-marketing-bible.git ~/.claude/skills/email-marketing-bible
Works wherever you run skills: Claude Code, Claude Desktop, and any agent that reads the skill format.
In 2026 the job changed. Agents build the campaign, segment the audience, draft the copy and stage the send; the marketer directs. That only works if the agent runs on real benchmarks and hard guardrails. This skill is that discipline layer: the patterns that repeat across industries, the mistakes that destroy deliverability, the anti-slop rules for copy and design, and the send-safety gates that keep one prompt from mailing the wrong thing to your whole list.
| Task | What it does |
|---|---|
| Run email automation | Build welcome, cart, post-purchase and win-back flows from a prompt, then review exits, timing and copy before anything goes live |
| Audit your setup | Review flows, segments, deliverability and compliance, and say what is missing |
| Draft and de-slop copy | Write with proven frameworks (PAS, AIDA, BAB) and strip the AI tells before send |
| Direct email design | Seed strings for divergence, a critic loop that scores screenshots, chained image and video models, delivery by subtraction; output as inbox-safe MJML or React Email |
| Drive your ESP from AI | Operate Klaviyo, Resend, beehiiv, Mailchimp, Omnisend or Nitrosend through MCP and connectors, with pre-send gates and field-tested operating rules |
| Fix deliverability | Step-by-step triage covering authentication, reputation, content and the AI-mediated inbox |
| Pull industry benchmarks | Open, click, conversion and revenue-per-email figures by vertical |
| Compare platforms | Honest comparison by list size, budget and whether an agent can drive it |
| Review compliance | GDPR, CAN-SPAM, CASL, CCPA and the Australian Spam Act as a gate before any send |
| Write cold email | Sequences with proper infrastructure separation, warming and personalisation |
| WhatsApp, SMS and RCS | The real cost models, consent rules and where each channel pays off |
Talk to your AI like an email marketing consultant.
Audit and build:
"Audit my Klaviyo account for a DTC skincare brand doing $2M/year. I have a
welcome series, abandoned cart, and one weekly newsletter. What am I missing,
and build me whatever flow would earn the most first."
Fix a problem:
"My emails are landing in Gmail promotions and opens dropped from 22% to 14%
over three months. What is going on and how do I fix it?"
De-slop:
"Here is a draft welcome email. Make it sound like a person, not an AI, and
keep it on our brand voice."
Design:
"Design a launch email for a premium coffee brand. List 15 directions first,
I will pick. Then build the pick as MJML and run a critic loop on the render."
The skill has two parts: an operating manual for when the AI is acting (building, sending, diagnosing, designing) and a dense reference (benchmarks, frameworks, playbooks).
| # | Chapter | What you get |
|---|---|---|
| 1 | The Fundamentals | Why email wins, the stack, key metrics, the AI-mediated inbox |
| 2 | Building Your List | Organic growth, popups, opt-in, spam traps, validation |
| 3 | Segmentation & Personalisation | Engagement tiers, AI-built segments, 1:1 content from behaviour |
| 4 | The Emails That Make Money | Welcome, cart, post-purchase, win-back, and building flows with AI |
| 5 | Copywriting That Converts | Subject lines, frameworks, CTAs, and the anti-slop copy protocol |
| 6 | Design & Technical | Designing for two readers, tokens and modules, dark mode, accessibility, the anti-default ban list, and directing the agent (Discover, Define, Deliver) |
| 7 | Deliverability | SPF, DKIM, DMARC, BIMI, reputation, warming, autonomous-send safety |
| 8 | Testing & Optimisation | A/B testing, significance, send-time, testing AI-assisted email |
| 9 | Analytics & Measurement | KPIs by type, attribution, querying your data with AI |
| 10 | Compliance & Privacy | GDPR, CAN-SPAM, CASL, CCPA, AU Spam Act, AI accountability |
| 11 | Industry Playbooks | Tactics for 19 verticals (see below) |
| 12 | Choosing Your Platform | Honest comparison, including which tools an agent can actually drive |
| 13 | Cold Email & B2B Outbound | Infrastructure, writing, follow-up, AI in outbound |
| 14 | WhatsApp Business | The cost model and where it pays off, per-user caps, quality tiers, opt-in and geo-branching, the AI-chatbot rule |
| 15 | SMS & RCS | TCPA, 10DLC and CTIA compliance, quiet hours, a realistic read on RCS, and AI in two-way messaging |
| 16 | AI & Agentic Marketing | Supervised autonomy, agent preflight gates, data governance, non-deterministic optimisation, what the vendors shipped, and field notes from agent-run sending |
| 17 | Company Case Studies | How Casper, Morning Brew, Duolingo, Spotify, and others use email |
| 18 | Expert Directory | The practitioners referenced throughout, who to follow and why |
| 19 | Best Email Designs 2026 | 47 hand-curated emails with notes on why each works and what to steal |
Plus four appendices: benchmarks by industry, frequency guide, marketing calendar, and methodology.
Ecommerce DTC · SaaS B2B · SaaS B2C · Newsletter & Creator · Agency · Nonprofit · Healthcare · Financial Services · Real Estate · Travel & Hospitality · Education · Professional Services · Retail · Events · B2B Manufacturing · Restaurant & Food · Fitness · Media & Publishing · Marketplace & Platform
Insights from practitioners including Chad S. White (Zeta Global), Joanna Wiebe (Copyhackers), Chase Dimond (Structured Agency), Nathan Barry (Kit), Ann Handley (MarketingProfs), Troy Ericson, Tyler Denk (beehiiv), Ben Settle, and many others. Full directory in Chapter 18.
The complete Email Marketing Bible is at emailmarketingskill.com, searchable and browsable, with all 19 chapters and 4 appendices, plus a free PDF.
908 sources across industry reports (Litmus, Klaviyo, HubSpot, Salesforce, Validity), practitioner blogs, podcasts and transcripts, platform documentation, and community discussions, refreshed mid-2026 with a focus on AI email automation.
Found an error, better data, or a missing tactic? Issues and PRs welcome.
MIT.
Built by George Hartley. Follow for updates.
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