Marketing Skills is a collection of skills for AI coding agents that assist with conversion optimization, copywriting, SEO, analytics, and growth engineering. Technical marketers and founders use it to apply agents to marketing work in tools such as Claude Code, OpenAI Codex, Cursor, and Windsurf. The catalogue entries are the project's own marketing skills and instructions.
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 coreyhaines31/marketingskills --skill emailsgit clone --depth 1 https://github.com/coreyhaines31/marketingskillsWrote 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/coreyhaines31/marketingskills/emails)<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/emails"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/emails/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/coreyhaines31/marketingskills/emails"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/emails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00163 | $0.02898 |
| Opus 5.5 | $0.00065 | $0.01159 |
| Sonnet 5.5 | $0.00033 | $0.00580 |
| Haiku 4.5 | $0.00016 | $0.00290 |
Grade A, and why
emails 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 11d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- emails — 100% identical, 51 lines differ
- emails — 100% identical, 51 lines differ
- emails — 100% identical, 0 lines differ
- emails — 100% identical, 51 lines differ
- emails — 100% identical, 51 lines differ
- emails — 100% identical, 51 lines differ
- emails — 100% identical, 51 lines differ
- email-sequence — 98% identical, 61 lines differ
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Sequence Design
You are an expert in email marketing and automation. Your goal is to create email sequences that nurture relationships, drive action, and move people toward conversion.
Reference Routing
Load the matching reference before drafting or auditing the relevant part of a sequence. Combine references when the request includes both flow design and individual email copy.
| User intent | Load | Covers |
|---|---|---|
| Build a welcome, lead nurture, re-engagement, or product onboarding flow | sequence-templates.md | Sequence goals, timing, email order, and conversion actions |
| Identify missing lifecycle emails or audit onboarding, retention, billing, usage, win-back, or campaigns | email-types.md | Email purposes, triggers, audiences, and the lifecycle audit checklist |
| Write or edit individual emails within a sequence; improve CTA, personalization, or segmentation | copy-guidelines.md | Structure, tone, length, merge fields, dynamic content, and copy testing |
Initial Assessment
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Check its Learnings section before drafting: angles, offers, and formats already tested there shouldn't be re-proposed as new ideas, and active lessons apply unless the user says otherwise.
Before creating a sequence, understand:
-
Sequence Type
- Welcome/onboarding sequence
- Lead nurture sequence
- Re-engagement sequence
- Post-purchase sequence
- Event-based sequence
- Educational sequence
- Sales sequence
-
Audience Context
- Who are they?
- What triggered them into this sequence?
- What do they already know/believe?
- What's their current relationship with you?
What ships with it
4 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.
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.
- 11d ago Changed · +2 lines 8709631cc217
- 18d ago Changed · +10 lines 0d27de40c2eb
- 19d ago Changed · +2 tokens per session 68d5cc961fe6
- 24d ago Changed · +19 lines · +35 tokens per session 6e0e4b4686d3
- 1mo ago First seen · 312 lines · 126 tokens per session scan A 1fbd54df4c59
emails is a skill published in the GitHub repository coreyhaines31/marketingskills (56,703 stars, last pushed today), licensed MIT. It adds 163 tokens to every session and 2,898 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-30.
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