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gtmagents/gtm-agents97 installs

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.

How do I install this agent skill?

npx skills add https://github.com/gtmagents/gtm-agents --skill cold-email-personalization
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides a structured framework for creating personalized cold email campaigns through research and quality scoring. It consists entirely of instructional markdown files and contains no malicious code, scripts, or suspicious network activity.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

  • Runlayerpass

    11 files scanned · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/gtmagents/gtm-agents/cold-email-personalization">View cold-email-personalization on skillZs</a>