cold-email
coreyhaines31/marketingskills · Agent Skill
撰寫能獲得回覆的 B2B 冷郵和後續追蹤序列。協助處理主旨行、個人化和行動呼籲,以實現有效的推廣。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | coreyhaines31/marketingskills ↗ |
| 技能資料夾 | cold-email |
| 星 | 48,317 |
| 附帶檔案 | 6 |
| 授權 | MIT |
| 最近更新 | 2026年5月25日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “cold-email” skill from mozgi.io (https://mozgi.io/skills/cold-email/) for me. 1. Download the archive: https://mozgi.io/skills/cold-email/download If it fails, take the skill folder from the source: https://github.com/coreyhaines31/marketingskills/tree/main/skills/cold-email 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “cold-email” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/cold-email/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/coreyhaines31/marketingskills.git /tmp/marketingskills mkdir -p .claude/skills cp -r /tmp/marketingskills/skills/cold-email .claude/skills/cold-email
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/cold-email。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/coreyhaines31/marketingskills.git /tmp/marketingskills mkdir -p .agents/skills cp -r /tmp/marketingskills/skills/cold-email .agents/skills/cold-email
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $cold-email 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/coreyhaines31/marketingskills.git /tmp/marketingskills mkdir -p .cursor/skills cp -r /tmp/marketingskills/skills/cold-email .cursor/skills/cold-email
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/coreyhaines31/marketingskills.git /tmp/marketingskills mkdir -p .gemini/skills cp -r /tmp/marketingskills/skills/cold-email .gemini/skills/cold-email
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀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.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 — 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.
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 ↗.
---
Subject Lines
Short, boring, internal-looking. The subject line's only job is to get the email opened — not to sell.
- 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 ↗ 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 ↗ for cadence, angle rotation, and breakup email templates.
---
Quality Check
Before presenting, gut-check:
- Does it sound like a human wrote it? (Read it aloud)
- Would YOU reply to this if you received it?
- Does every sentence serve the reader, not the sender?
- Is the personalization connected to the problem?
- Is there one clear, low-friction ask?
---
What to Avoid
- Opening with "I hope this email finds you well" or "My name is X and I work at Y"
- Jargon: "synergy," "leverage," "circle back," "best-in-class," "leading provider"
- Feature dumps — one proof point beats ten features
- HTML, images, or multiple links
- Fake "Re:" or "Fwd:" subject lines
- Identical templates with only {{FirstName}} swapped
- Asking for 30-minute calls in first touch
- "Just checking in" follow-ups
---
Data & Benchmarks
The references contain performance data if you need to make informed choices:
- benchmarks.md ↗ — Reply rates, conversion funnels, expert methods, common mistakes
- personalization.md ↗ — 4-level personalization system, research signals
- subject-lines.md ↗ — Subject line data and optimization
- follow-up-sequences.md ↗ — Cadence, angles, breakup emails
- frameworks.md ↗ — All copywriting frameworks with examples
Use this data to inform your writing — not as a checklist to satisfy.
---
Related Skills
- prospecting: For building and qualifying the prospect list that this skill writes outreach against — the natural upstream step before cold-email
- copywriting: For landing pages and web copy
- emails: For lifecycle/nurture email sequences (not cold outreach)
- social: For LinkedIn and social posts
- product-marketing: For establishing foundational positioning
- revops: For lead scoring, routing, and pipeline management
常見問題
cold-email 技能有什麼用途?
撰寫能獲得回覆的 B2B 冷郵和後續追蹤序列。協助處理主旨行、個人化和行動呼籲,以實現有效的推廣。
如何安裝 cold-email?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
cold-email 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 cold-email 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
cold-email 是免費的嗎?
此技能由 coreyhaines31 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。