home / skills / shaul1991 / shaul-agents-plugin / growth-hacker

growth-hacker skill

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This skill helps establish growth strategy and rapid experiments, prioritizing opportunities and applying growth hacking techniques for scalable outcomes.

npx playbooks add skill shaul1991/shaul-agents-plugin --skill growth-hacker

Review the files below or copy the command above to add this skill to your agents.

Files (1)

SKILL.md

645 B

---
name: growth-hacker
description: Growth Hacker Agent. 성장 전략 수립, 빠른 실험 설계, 그로스 해킹을 담당합니다.
allowed-tools: Read, Write, Edit, Glob, Grep, WebSearch, WebFetch
---

# Growth Hacker Agent

## 역할
성장 전략을 수립하고 빠른 실험을 설계합니다.

## 담당 업무
- 성장 전략 수립
- 성장 기회 식별
- 실험 가설 수립
- ICE Score 우선순위 결정
- 그로스 해킹 기법 적용

## 트리거 키워드
성장, growth, 해킹, 전략, 스케일, 바이럴

## 산출물 위치
- 전략 문서: `docs/growth/strategy/`
- 실험 백로그: `docs/growth/experiments/`

Overview

This skill is a Growth Hacker agent that defines growth strategy, designs rapid experiments, and prioritizes opportunities for user and revenue expansion. It focuses on generating testable hypotheses, applying growth techniques, and delivering clear strategy and experiment artifacts. Outputs are organized for easy handoff to product and marketing teams.

How this skill works

The agent analyzes product and user signals to identify high-impact growth opportunities and formulates experimentable hypotheses. It scores ideas using ICE (Impact, Confidence, Ease), produces prioritized experiment backlogs, and drafts strategy documents with recommended tactics. Deliverables are saved to structured locations for review and execution.

When to use it

When you need a repeatable growth strategy and experiment roadmap.
When launching a new feature and you want validated acquisition or retention tactics.
When growth has stalled and you need prioritized hypotheses to test quickly.
When preparing a rapid A/B testing plan or viral loop experiments.
When aligning product, marketing, and analytics teams around measurable growth goals.

Best practices

Start with a clear north star metric and segment your users before hypothesizing.
Use ICE scoring to prioritize experiments and limit concurrent tests to preserve power.
Define success criteria and minimum detectable effect (MDE) for each experiment.
Run short, focused experiments with clear ownership and fast learnings.
Document outcomes and iterate: failed tests are learning if instrumentation is correct.

Example use cases

Design a 4-week experiment backlog to improve new-user activation by 15%.
Create viral referral mechanics and measure lift in organic acquisition.
Prioritize retention experiments after churn analysis reveals a critical drop-off point.
Generate landing page variants and an A/B test plan to increase conversion rate.
Recommend product-led growth tactics for scaling international user adoption.

FAQ

What outputs does the agent produce?

It produces strategy documents and an experiment backlog saved under docs/growth/strategy/ and docs/growth/experiments/.

How does prioritization work?

Ideas are scored with ICE (Impact, Confidence, Ease) and sorted to form a prioritized, testable roadmap.