growth-hacker

Name: growth-hacker
Availability: InStock
Author: sonyho2715

Plan growth experiments with ICE prioritization and viral coefficient metrics.

Updated Aug 27, 2026

Search Tags:#metrics #retention #referral #growth-hacking #a/b-testing #user-acquisition #viral-loops

Ready to run

npx skills add https://github.com/sonyho2715/lee-meadows-saas --skill growth-hacker-sonyho2715

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: growth-hacker
Source: https://github.com/sonyho2715/lee-meadows-saas/tree/main/.claude/skills/growth-hacker
Command: npx skills add https://github.com/sonyho2715/lee-meadows-saas --skill growth-hacker-sonyho2715

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides actionable growth strategy, playbooks, and experimentation frameworks to accelerate user acquisition, improve retention, and design effective referral and viral loops for digital products.

Core Features & Use Cases

Frameworks & Metrics: AARRR pirate metrics, ICE prioritization, CAC, LTV, churn, activation rate, and viral coefficient modeling.
Tactics & Experiments: Acquisition channel ideas, onboarding optimization, referral program design, retention campaigns, and A/B testing guidance.
Use Case: For a crypto trading app, run a 30-day onboarding plus referral experiment to increase activation and reduce churn while tracking CAC and LTV.

Quick Start

Create a 30-day growth plan focused on referral acquisition and retention for a crypto trading app targeting retail users in the US.

Frequently Asked Questions about growth-hacker

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

FAQPage Schema

How do I design a referral program with a viral loop for my SaaS app?▼

Designing a viral loop involves calculating the viral coefficient and structuring referral incentives to drive user acquisition. This Skill helps you model viral loops, define referral program incentives, and plan data-driven experiments to optimize activation rates for SaaS and consumer apps.

What is ICE prioritization and how do I use it for growth hacking experiments?▼

ICE prioritization scores growth experiments by Impact, Confidence, and Ease to rank user acquisition and retention tactics. You can use it here to prioritize your growth hacking roadmap, forming hypotheses and scoring proposed A/B tests to identify high-value onboarding and referral campaigns.

How do I calculate CAC, LTV, and churn rate for a digital product growth plan?▼

Calculating CAC, LTV, and churn rate requires defining specific pirate metrics (AARRR) to track user acquisition and retention performance. This Skill facilitates metric definition and modeling, enabling you to build a 30-day actionable growth plan that tracks these core metrics for your digital product.

Can I use this to run A/B testing for onboarding optimization in a consumer app?▼

Yes, you can use this to run A/B testing for onboarding optimization in consumer apps. It provides A/B testing guidance and frameworks to structure onboarding experiments, helping you increase user activation, reduce churn, and validate growth hypotheses rapidly.

What is the best way to structure a 30-day user acquisition and retention campaign?▼

The best way to structure a 30-day campaign is to combine acquisition channel ideas with retention campaigns and A/B testing into an actionable experiment roadmap. This Skill supports creating 30-day growth plans focused on referral acquisition and onboarding optimization while tracking CAC and LTV.

Why should I use growth hacking frameworks instead of standard marketing strategies for my crypto app?▼

Growth hacking frameworks prioritize rapid, data-driven experimentation over standard marketing to accelerate user acquisition and retention. For a crypto trading app, this approach enables targeted onboarding and referral experiments, optimizing viral loops and activation rates with measurable metrics like LTV and churn.