Cold Email Personalization logo

Cold Email Personalization

Community
gtmagents
cold-email-personalization

Writes personalized cold emails by researching prospects, crafting attention-grabbing openers, and scoring drafts against a quality rubric. Use when the user asks to write cold emails, outreach emails, sales prospecting messages, outbound email campaigns, or B2B email sequences.

Overview

Publishergtmagents
Repositorygtm-agents
Skill namecold-email-personalization
Stars
428
Forks
83
Bundled files
10
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gtmagents on GitHub. Read the source before you install it.

Installation

Install the Cold Email Personalization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gtmagents/gtm-agents.git /tmp/gtm-agents
mkdir -p .claude/skills
cp -r /tmp/gtm-agents/plugins/copywriting/skills/cold-email-personalization .claude/skills/cold-email-personalization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cold Email Personalization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cold Email Personalization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cold Email Personalization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cold Email Personalization

When to Use

  • Writing cold outreach, sales prospecting, or outbound B2B emails
  • Personalizing email openers from prospect research signals
  • Building multi-touch follow-up sequences
  • Reviewing or scoring email drafts before sending

Workflow

  1. Map the ICP — Complete ICP & Objection Mapping. Gate: persona, top 3 objections, and desired next step are defined.
  2. Research signals — Follow the Research Playbook to find custom signals from the last 90 days. Gate: at least 2 verified signals per prospect.
  3. Choose campaign path — Pick Custom Signal, Creative Idea, Whole Offer, or Fallback from Campaign Types.
  4. Draft the email — Apply Email Structure rules: plain text, 60-120 words, one CTA. Use Variable Schema for merge fields.
  5. QA and score — Run the QA Checklist, then score with the Scoring Rubric. Gate: score >= 80 and 3:1 recipient-to-sender ratio.
  6. Build sequence — Add follow-ups per Follow-Up Strategy, rotating value props each touch.

Principles

  • Message-market fit over cleverness — Show you understand the prospect's situation immediately.
  • Research is the personalization — Custom signals prove homework; never fabricate facts.
  • One job per email — Single sharp question or CTA; earn a reply, not a meeting.
  • Two personalization paths — Path A: custom signal research. Path B: whole-offer strategy. See Creative Ideas for Path B tactics.

Example

Signal found: Prospect's company posted a VP Sales hire on LinkedIn 2 weeks ago.

Subject: {{first_name}}, growing the sales team?

Body: Hi {{first_name}}, saw {{company}} just brought on a new VP Sales — congrats. Specifically, it looks like you're scaling outbound to {{customer_type}}. We helped [similar company] ramp 3 new reps to quota 40% faster by templatizing their top performer's research workflow. Worth a 15-min look?

Why it works: Uses a verified, recent signal in the first line; ties it to a specific, relevant outcome; single clear CTA.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cold Email Personalization AI skill do?

Writes personalized cold emails by researching prospects, crafting attention-grabbing openers, and scoring drafts against a quality rubric. Use when the user asks to write cold emails, outreach emails, sales prospecting messages, outbound email campaigns, or B2B email sequences.

Why use Cold Email Personalization on TypingMind?

Because you install it once and use it with any model. Cold Email Personalization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cold Email Personalization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gtmagents/gtm-agents/tree/main/plugins/copywriting/skills/cold-email-personalization. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cold Email Personalization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cold Email Personalization?

As many as you like. As long as a model supports skills, you can use Cold Email Personalization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cold Email Personalization AI skill free?

Yes. It is published on GitHub by gtmagents under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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