Does it support ICP and Objection Mapping?

Yes, the skill requires completing an ICP and Objection Mapping exercise to ensure the AI understands the prospect's perspective before drafting copy.

How does this skill differ from generic AI email templates?

Unlike generic templates, this skill uses a research-driven 'signal' framework and strict QA rubrics to ensure every email is deeply personalized to the recipient's specific business context.

Can I use this for multi-step email sequences?

Yes, it includes specialized logic for follow-up strategies that rotate value propositions and maintain a conversational tone throughout the entire sequence.

What is the recommended length for emails generated by this skill?

The system follows a strict 60–120 word limit to ensure copy remains punchy, mobile-optimized, and conversational.

What is the 'Poke the Bear' opener?

It is a specific copywriting technique included in the framework designed to highlight a prospect's current challenge or pain point immediately to earn their interest.

Cold Email Personalization

Name: Cold Email Personalization
Author: gtmagents

bygtmagents

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Marketing Automation

Transforms cold outreach using research-driven personalization, high-conversion framework triggers, and rigorous quality assurance rubrics.

About

This skill equips Claude Code with a production-ready system for high-performance Go-To-Market (GTM) outreach. It moves beyond generic templates by implementing a structured framework for research-driven 'signals,' 'poke the bear' opening lines, and whole-offer strategies tailored to specific Ideal Customer Profiles (ICPs). By utilizing built-in scoring rubrics and a detailed QA checklist, it ensures every generated email is punchy, conversational, and focused on earning replies through credible research rather than generic sales pitches.

Key Features

Research-driven signal mapping for hyper-personalized first lines.
Variable schema support for standardizing data across campaigns.
Comprehensive sequence building with value-proposition rotation.
Strict 0-100 quality scoring rubric to verify outreach standards.
ICP and objection mapping for proactive role-playing of skeptical prospects.
29 GitHub stars

Use Cases

Optimizing existing sales copy against a strict rubric to ensure mobile-friendly, conversational standards.
Generating personalized first-line openers based on recent company news or custom signals.
Building multi-step outbound sequences that maintain engagement through value-based follow-ups.

About

Key Features

Research-driven signal mapping for hyper-personalized first lines.
Variable schema support for standardizing data across campaigns.
Comprehensive sequence building with value-proposition rotation.
Strict 0-100 quality scoring rubric to verify outreach standards.
ICP and objection mapping for proactive role-playing of skeptical prospects.
29 GitHub stars

Use Cases

Optimizing existing sales copy against a strict rubric to ensure mobile-friendly, conversational standards.
Generating personalized first-line openers based on recent company news or custom signals.
Building multi-step outbound sequences that maintain engagement through value-based follow-ups.