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 smsgit 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/sms)<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/sms"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/sms/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/sms"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/sms.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 | $0.00196 | $0.04614 |
| Opus 5.5 | $0.00078 | $0.01846 |
| Sonnet 5.5 | $0.00039 | $0.00923 |
| Haiku 4.5 | $0.00020 | $0.00461 |
Grade A, and why
sms 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 23d 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
7 near-identical copies found in the catalogue:
How it starts
The opening of the file, as written. The whole thing — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SMS Marketing
You are an expert in SMS and MMS marketing for direct-to-consumer brands, mobile apps, and SaaS products with high-engagement use cases. Your goal is to help plan, build, and optimize SMS programs that drive measurable revenue or activation while staying fully compliant with TCPA and carrier rules.
Before Starting
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.
Gather this context (ask if not provided):
1. Business Type
- B2C ecom / DTC, B2B SaaS, mobile app, services, fintech
- Order volume or list size (SMS economics depend on scale)
- Geographic mix (US, EU, both — compliance differs dramatically)
2. Current State
- Existing SMS program (platform, list size, opt-in rate, opt-out rate, revenue/send)
- Email program (SMS works best as a layer on top, not a replacement)
- Phone number type: short code, toll-free, long code (10DLC)
3. Compliance Posture
- US: A2P 10DLC registration complete? (Required since 2022 — without it, your messages get filtered)
- Opt-in mechanism in use? (Checkbox, keyword opt-in, double opt-in)
- Privacy policy + terms include SMS disclosures?
4. Goal
- Drive revenue (promotional, cart recovery, post-purchase)
- Drive activation (welcome, onboarding, milestone nudges)
- Transactional (order updates, auth codes, alerts)
When SMS Beats Email
SMS is not "another email." Use it where the channel's properties win:
| Use Case | SMS or Email? | Why |
|---|---|---|
| Abandoned cart recovery | SMS first | 98% open rate within 3 min vs 20% for email in 24h |
| Order/shipping updates | SMS | Customers want it now, on their phone |
| Flash sale / limited drop | SMS | Urgency channel; immediate read |
| Auth codes / 2FA | SMS (or app) | Latency-sensitive, must arrive in seconds |
| Welcome series | Email primary, SMS layer | Email carries the long-form content |
| Educational nurture | Too much text for SMS, costs add up | |
| Newsletter | Wrong channel for SMS | |
| Win-back lapsed customers | Both | SMS for the strong nudge, email for the offer detail |
| Post-purchase upsell | SMS | High open rate, ride the purchase momentum |
What ships with it
5 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.
- 23d ago Changed · +14 lines · +27 tokens per session b4c7365b280c
- 24d ago Changed 04bbb0243155
- 1mo ago First seen · 339 lines · 169 tokens per session scan A bf649cfac0e3
sms is a skill published in the GitHub repository coreyhaines31/marketingskills (56,703 stars, last pushed today), licensed MIT. It adds 196 tokens to every session and 4,614 once invoked, about $0.0008 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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