messaging-ab-tester

Generates and tests LinkedIn/cold-email marketing messages for target audiences using statistical analysis.

1.1k|200|Updated Mar 2, 2026

Search Tags:#messaging #content strategy #A/B testing #copywriting #lead generation #brand positioning

Ready to run

npx skills add https://github.com/athina-ai/goose-skills --skill messaging-ab-tester

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: messaging-ab-tester
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/composites/messaging-ab-tester
Command: npx skills add https://github.com/athina-ai/goose-skills --skill messaging-ab-tester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of subjective decision-making in messaging and positioning by providing a data-driven approach to A/B testing different communication angles.

Core Features & Use Cases

Variant Generation: Creates multiple distinct messaging variants based on different strategic angles (outcome, pain, identity, proof, contrast).
Multi-Channel Deployment: Supports testing via LinkedIn organic posts or cold email subject lines/hooks.
Data-Driven Analysis: Provides a scoring framework to objectively determine the most resonant messaging.
Use Case: A product marketing team can use this to test five different value propositions for a new feature launch across LinkedIn and cold emails, receiving a clear recommendation on which message performs best with their target audience.

Quick Start

Use the messaging-ab-tester skill to generate 3 variants for the value proposition "We help growth teams run outbound 10x faster" targeting startup founders on LinkedIn.

Frequently Asked Questions about messaging-ab-tester

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I A/B test value propositions across LinkedIn and cold email campaigns?▼

A/B testing value propositions across LinkedIn and cold email campaigns involves generating distinct messaging variants based on strategic angles like outcome or pain, deploying them as organic posts or email hooks, and analyzing performance using a structured scoring framework to identify the most resonant framing for your target audience.

What is the best way to generate messaging variants for a specific Ideal Customer Profile?▼

The best way to generate messaging variants for a specific Ideal Customer Profile is to create distinct copy angles—such as identity, proof, or contrast—and test them across multiple channels to objectively determine which framing achieves the highest engagement and statistical significance.

How do I objectively score and analyze A/B testing results for different copywriting angles?▼

You objectively score and analyze A/B testing results for different copywriting angles by applying a predefined scoring framework and running statistical significance checks on the performance data from your LinkedIn and cold email deployments.

Can I test messaging variants for lead generation without relying on subjective decision-making?▼

Yes, you can test messaging variants for lead generation without subjective decision-making by using a data-driven approach that generates multiple communication angles, deploys them across LinkedIn and cold email, and evaluates results through a structured scoring framework.

What strategic angles should I use for brand positioning when creating A/B test variants?▼

Strategic angles for brand positioning A/B test variants include outcome, pain, identity, proof, and contrast, allowing you to systematically explore different communication framings to see which resonates most with your target audience.

Does A/B testing content strategy work for both LinkedIn organic posts and cold email subject lines?▼

Yes, A/B testing content strategy works for both LinkedIn organic posts and cold email subject lines by generating messaging variants from your value proposition and deploying them across these multi-channel formats to identify the highest performing framing.