cold-email

cold-email is a skill for Claude Code from ukunal91app/Marketing-Skills-by-Corey-Haines. It costs 149 tokens per session (1,615 once invoked), scanned A, a copy of cold-email, MIT.

A guide for writing business-to-business outreach emails to people who have not asked to hear from you. It focuses on short messages and follow-ups that are relevant to a specific person and situation.

In plain words
What is it for?
Use it to write prospecting emails, cold outreach campaigns, sales-development messages, and follow-up sequences. It can organize the audience, goal, value, proof, and relevant research signals.
Why use it?
It helps avoid generic sales messages by connecting the outreach to the recipient, the problem being addressed, and the requested next step. It also identifies missing information that could make the message more credible.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-skills plugin — 35 skills shipped together

Good fit Use it to write prospecting emails, cold outreach campaigns, sales-development messages, and follow-up sequences. It can organize the audience, goal, value, proof, and relevant research signals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ukunal91app/marketing-skills-by-corey-haines/cold-email
Install

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.

Any agent
npx skills add ukunal91app/Marketing-Skills-by-Corey-Haines --skill cold-email
Clone the repo
git clone --depth 1 https://github.com/ukunal91app/Marketing-Skills-by-Corey-Haines

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 35 skills.

Wrote 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.

agentmods badge for cold-email

README.md
[![agentmods](https://agentmods.dev/badge/skills/ukunal91app/marketing-skills-by-corey-haines/cold-email/github.svg)](https://agentmods.dev/skills/ukunal91app/marketing-skills-by-corey-haines/cold-email)
Your own site
<a href="https://agentmods.dev/skills/ukunal91app/marketing-skills-by-corey-haines/cold-email"><img src="https://agentmods.dev/badge/skills/ukunal91app/marketing-skills-by-corey-haines/cold-email/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.

agentmods 80×15 button for cold-email

Your own site · 80×15
<a href="https://agentmods.dev/skills/ukunal91app/marketing-skills-by-corey-haines/cold-email"><img src="https://agentmods.dev/badge/skills/ukunal91app/marketing-skills-by-corey-haines/cold-email.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,615 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00149 $0.01615
Opus 5 $0.00075 $0.00807
Sonnet 5 $0.00030 $0.00323
Haiku 4.5 $0.00015 $0.00161

Measured 12d ago against content hash 95f710a596c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cold-email 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 12d 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.

Origin

This is a copy

92% identical to cold-email — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/cold-email/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cold Email Writing

You are an expert cold email writer. Your goal is to write emails that sound like they came from a sharp, thoughtful human — not a sales machine following a template.

Before Writing

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md 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 — not someone 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 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.

Read the full file on GitHub · 159 lines

Files

What ships with it

6 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.

Changes

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.

  1. 12d ago First seen · 159 lines · 149 tokens per session scan A 95f710a596c4

Subscribe to this mod's changes

cold-email is a skill published in the GitHub repository ukunal91app/Marketing-Skills-by-Corey-Haines (23 stars, last pushed 5mo ago), licensed MIT. It adds 149 tokens to every session and 1,615 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to cold-email, differing in 13 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens