growth-hacker

Design growth experiments with ICE scoring and success criteria.

31|8|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/citedy/adclaw --skill growth-hacker-citedy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: growth-hacker
Source: https://github.com/citedy/adclaw/tree/main/src/adclaw/agents/skills/growth-hacker
Command: npx skills add https://github.com/citedy/adclaw --skill growth-hacker-citedy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

accelerate growth by systematically running experiments to identify scalable, repeatable acquisition and retention tactics, reducing guesswork and wasted marketing spend.

Core Features & Use Cases

  • Growth experimentation framework: design, test, and iterate on onboarding, activation, retention, monetization, and referrals.
  • Viral-loop and pirate-metrics design: identify and scale channels with measurable virality.
  • North Star alignment and ICE scoring: prioritize high-impact experiments using clear hypotheses and success criteria.
  • Real-world use case: run an onboarding optimization test to improve activation rate by 20% within 14 days using an A/B test and a defined sample size.

Quick Start

Design and run a growth experiment to improve activation rate and retention in the onboarding funnel.

Frequently Asked Questions about growth-hacker

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

FAQPage Schema
How do I design growth experiments to improve user activation and retention?

Growth experiments accelerate user activation and retention by applying a structured framework to design, test, and iterate onboarding funnels. You use ICE scoring to prioritize high-impact hypotheses and define clear success criteria to measure outcomes.

What is the pirate metrics AARRR funnel and how does it guide viral loop design?

The pirate metrics AARRR funnel tracks acquisition, activation, retention, revenue, and referrals to identify scalable channels. Viral loop design uses this framework to measure virality and systematically scale repeatable growth tactics across your product.

How do I prioritize growth experiments using ICE scoring and North Star alignment?

ICE scoring prioritizes growth experiments by evaluating impact, confidence, and ease. Aligning experiments with your North Star metric ensures you select high-impact tests that drive measurable optimization across the funnel rather than isolated vanity metrics.

Can I run an A/B test to optimize onboarding and increase activation rate quickly?

You can run an A/B test to optimize onboarding and increase activation rate by defining a clear hypothesis, setting a required sample size, and establishing success criteria. This structured testing approach validates tactics within a targeted timeframe.

Does this growth experimentation framework work for digital products across different channels?

This growth experimentation framework applies to digital products by guiding channel selection across onboarding, activation, retention, revenue, and referrals. It provides experiment templates and guardrails to systematically test and scale channels.

Why do my growth experiments fail to show measurable results despite running A/B tests?

Growth experiments fail when they lack clear hypotheses, adequate sample sizes, or North Star alignment. Using experiment templates, guardrails, and defined success criteria ensures tests are structured to produce measurable optimization outcomes.