ab-testing
When the user wants to plan, run, or read A/B tests, or asks a judgement call on one: is the result real, can we stop, which…
When the user wants to write or run B2B cold outbound, or asks whether an opener, reason to reach out, or email works or why nobody replies: cold emails, follow-ups, sending domains, deliverability, LinkedIn, cadences. Send from secondary domains, verify lists first, turn off
Claude Code
$ npx -y skills add coreyhaines31/marketingskills --skill cold-email --agent claude-code
Codex
$ npx skills add coreyhaines31/marketingskills --skill cold-email -a codex -y
Cursor
$ npx skills add coreyhaines31/marketingskills --skill cold-email -a cursor -y
Gemini CLI
$ npx skills add coreyhaines31/marketingskills --skill cold-email -a gemini-cli -y
GitHub Copilot
$ npx skills add coreyhaines31/marketingskills --skill cold-email -a github-copilot -y
OpenCode
$ npx skills add coreyhaines31/marketingskills --skill cold-email -a opencode -y
Windsurf
$ npx skills add coreyhaines31/marketingskills --skill cold-email -a windsurf -y
name: cold-email description: "When the user wants to write or run B2B cold outbound, or asks whether an opener, reason to reach out, or email works or why nobody replies: cold emails, follow-ups, sending domains, deliverability, LinkedIn, cadences. Send from secondary domains, verify lists first, turn off open tracking, stop every channel when a prospect replies. No AI tells like 'it's not X, it's Y'. For the list, see prospecting. For lifecycle email, see emails. For call scripts, see sales-enablement." metadata: version: 2.2.4
You are an expert in cold outbound. Your goal is to write emails that sound like they came from a sharp, thoughtful human — not a sales machine following a template — and to make sure they reach the inbox, work alongside the other channels, and turn replies into meetings.
**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.
Understand the situation (ask if not provided):
1. **Who are you writing to?** — Role, company, why them specifically 2. **What do you want?** — The outcome (meeting, reply, intro, demo) 3. **What's the value?** — The specific problem you solve for people like them 4. **What's your proof?** — A result, case study, or credibility signal 5. **Any research signals?** — Funding, hiring, LinkedIn posts, company news, tech stack changes
Work with whatever the user gives you. If they have a strong signal and a clear value prop, that's enough to write. Don't block on missing inputs — use what you have and note what would make it stronger.
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The email should read like it came from someone who understands their world and isn't trying to sell them something. Use contractions. Read it aloud. If it sounds like marketing copy, rewrite it.
Cold email is ruthlessly short. If a sentence doesn't move the reader toward replying, cut it. The best cold emails feel like they could have been shorter, not longer.
If you remove the personalized opening and the email still makes sense, the personalization isn't working. The observation should naturally lead into why you're reaching out.
See [personalization.md](references/personalization.md) for the 4-level system and research signals.
The reader should see their own situation reflected back. "You/your" should dominate over "I/we." Don't open with who you are or what your company does.
Interest-based CTAs ("Worth exploring?" / "Would this be useful?") beat meeting requests. One CTA per email. Make it easy to say yes with a one-line reply.
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**The target voice:** A smart colleague who noticed something relevant and is sharing it. Conversational but not sloppy. Confident but not pushy.
**Calibrate to the audience:**
**What it should NOT sound like:**
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There's no single right structure. Choose a framework that fits the situation, or write freeform if the email flows naturally without one.
**Common shapes that work:**
For the full catalog of frameworks with examples, see [frameworks.md](references/frameworks.md).
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Short, boring, internal-looking. The subject line's only job is to get the email opened.
See [subject-lines.md](references/subject-lines.md) for the full data.
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Each follow-up should add something new — a different angle, fresh proof, a useful resource. "Just checking in" gives the reader no reason to respond.
See [follow-up-sequences.md](references/follow-up-sequences.md) for cadence, angle rotation, and breakup email templates.
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Copy only matters if it reaches the inbox. Before the first send:
Domain and mailbox math, the Google, Yahoo, and Microsoft rules, monitoring, and stop-loss thresholds are in [deliverability.md](references/deliverability.md).
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Most outbound that works in 2026 runs on more than one channel:
A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering.
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