cold-email
Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling.
Skill by coreyhaines31
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: writing, sales, research, productivity, sales-prospecting, email
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cold-email
What's inside
- Skill name
cold-email- Description
- Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach," "outbound," "prospecting email," "SDR emails," "follow-up sequence," "nobody's replying," "email deliverability," "sending domains," "warm up inboxes," "LinkedIn outreach," "connection request message," "multichannel sequence," "cadence," "cold call," "voicemail," "handle replies," "AI SDR," "teardown outreach," or "product-led outbound." Send from secondary domains, verify lists first, turn off open tracking, and stop every channel when a prospect replies. Copy avoids AI tells like 'it's not X, it's Y' reveals. For building the list and account research, see prospecting. For lifecycle email, see emails. For call scripts and sales collateral, see sales-enablement.
- License
- MIT
- Metadata
- version: 2.2.0
- Instructions
- 209 lines in SKILL.md · view on GitHub
Files (12)
- SKILL.md
- evals.json · evals/
- benchmarks.md · references/
- deliverability.md · references/
- follow-up-sequences.md · references/
- frameworks.md · references/
- linkedin-outreach.md · references/
- multichannel-cadence.md · references/
- outbound-plays.md · references/
- personalization.md · references/
- reply-handling.md · references/
- subject-lines.md · references/
SKILL.md (first lines)
# Cold Email Writing
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.
## Before Writing
**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.
---
## Writing Principles
### Write like a peer, not a vendor
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.
### Every sentence must earn its place
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.
### Personalization must connect to the problem
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.
### Lead with their world, not yours
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.
### One ask, low friction
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.
---
## Voice & Tone
**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:**
- C-suite: ultra-brief, peer-level, understated
- Mid-level: more specific value, slightly more detail
- Technical: precise, no fluff, respect their intelligence
**What it should NOT sound like:**
- A template with fields swapped in
- A pitch deck compressed into paragraph form
- A LinkedIn DM from someone you've never met
- An AI-generated email (avoid the telltale patterns: "I hope this email finds you well," "I came across your profile," "leverage," "synergy," "best-in-class")
---
## Structure
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:**
- **Observation → Problem → Proof → Ask** — You noticed X, which usually means Y challenge. We helped Z with that. Interested?
- **Question → Value → Ask** — Struggling with X? We do Y. Company Z saw [result]. Worth a look?
- **Trigger → Insight → Ask** — Congrats on X. That usually creates Y challenge. We've helped similar companies with that. Curious?
- **Story → Bridge → Ask** — [Similar company] had [problem]. They [solved it this way]. Relevant to you?
For the full catalog of frameworks with examples, see [frameworks.md](references/frameworks.md).
---
## Subject Lines
Short, boring, internal-looking. The subject line's only job is to get the email opened.
- 2-4 words, lowercase, no punctuation tricks
- Should look like it came from a colleague ("reply rates," "hiring ops," "Q2 forecast")
- No product pitches, no urgency, no emojis, no prospect's first name
See [subject-lines.md](references/subject-lines.md) for the full data.
---
## Follow-Up Sequences
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.
- 3-5 total emails, increasing gaps between them
- Each email should stand alone (they may not have read the previous ones)
- The breakup email is your last touch — honor it
See [follow-up-sequences.md](references/follow-up-sequences.md) for cadence, angle rotation, and breakup email templates.
---
## Before You Send
Copy only matters if it reaches the inbox. Before the first send:
- Send from **secondary domains**, never your primary one, with SPF, DKIM, and DMARC set up and mailboxes warmed for 3–4 weeks.
- **Verify every list** right before upload and keep bounces under 2%.
- **Turn off open and click tracking.** Measure replies.
- Include a plain-text **opt-out line and your postal address** in every email.
Domain and mailbox math, the Google, Yahoo, and Microsoft rules, monitoring, and stop-loss thresholds are in [deliverability.md](references/deliverability.md).
---
## Beyond EmailFrom coreyhaines31/marketingskills, MIT.
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Featured in
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- Stars
- 56,355
- Forks
- 8,329
- Open issues
- 17
- Last commit (this folder)
- Oct 7, 2026 (19 days ago)
- Last release
- Oct 19, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 2.2.0
- License
- MIT
- Repository
- github.com/coreyhaines31/marketingskills
- Website
- marketing-skills.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
cold-email skill. Agent Mart. https://agentmart.dev/skills/coreyhaines31-cold-email (last updated 2026-10-24)