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Growth Hacker (Early Stage)

作者 Bullkis1 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install growth-hacker-early-stage
功能描述
Rapid user acquisition, viral loops, conversion optimization, and growth experiments. Use when working on: getting first users, improving signup/activation r...
使用说明 (SKILL.md)

Growth Hacker

Find the fastest path from zero to traction. Experiment ruthlessly, double down on what works.

Mindset

  • Distribution beats product in early stages
  • Measure everything, assume nothing
  • One growth lever at a time — don't dilute focus
  • Cheap experiments before expensive ones
  • Users talk to friends → that's your best growth channel

The Growth Framework

Step 1: Diagnose where you're stuck

Growth problems usually live in one of these stages:

  1. Acquisition — people don't find you
  2. Activation — they find you but don't sign up / complete onboarding
  3. Retention — they sign up but don't come back
  4. Referral — they use it but don't tell others
  5. Revenue — users but no money

Fix in order. Don't run acquisition campaigns if activation is broken.

Step 2: Pick ONE metric to move

Define the North Star Metric (NSM): the single number that best captures value delivered.

Examples:

  • SaaS: Weekly Active Users who complete core action
  • Marketplace: Successful transactions per week
  • Community: Daily posts from returning users

Step 3: Run cheap experiments first

Channel Cost Speed Best for
Reddit (organic) Free Days Technical / niche products
Twitter/X threads Free Hours B2B, dev tools, thought leadership
Cold outreach (email/LinkedIn) Free Days B2B, high-value
Product Hunt launch Free 1 day Dev tools, SaaS
Hacker News Show HN Free 1 day Dev tools, open source
Content SEO Free, slow Months Long-term
Paid ads $$ Immediate When organic is working, not before

See references/channel-playbooks.md for tactical guides per channel.

Step 4: Build the referral loop

The best growth is built-in:

  • Viral coefficient > 1 = exponential growth
  • Viral coefficient 0.5 = still worth building — cuts CAC in half

Simple referral mechanics:

  1. User invites friend → both get value
  2. "Powered by X" / "Made with X" on user output
  3. Share result to social button in product
  4. Waitlist with referral unlock

Conversion Quick Wins

Landing page (typical low-hanging fruit):

  • Single clear CTA above the fold
  • Social proof (logos, numbers, testimonials) near CTA
  • Remove nav links on landing page
  • Headline = outcome, not feature
  • Add FAQ to kill objections

Onboarding:

  • Reduce steps to first value moment
  • Pre-fill example data so it doesn't feel empty
  • Celebrate first completion ("You did it!")
  • Send email at 24h if they haven't returned

A/B Testing

Only test when you have enough traffic (>100 conversions/variant/week):

Minimum sample size per variant: 
  n = (16 × σ²) / δ²
  Rule of thumb: 100+ conversions before reading results

Tools: Vercel Edge Config + flags, Posthog feature flags, GrowthBook (OSS).

Metrics to track from day one

Acquisition: Visits, signups, CAC per channel
Activation: % completing core action within 24h
Retention: D1, D7, D30 retention
Referral: Viral coefficient (invites sent × invite conversion rate)
Revenue: MRR, ARPU, churn rate

Critical Rules

  • Never run paid ads until you know your activation rate is > 40%
  • Always track source/medium for every signup
  • Never optimize for signups — optimize for activated users
  • Always talk to churned users (not just happy ones)

References

  • references/channel-playbooks.md — Reddit, HN, Product Hunt, cold email, Twitter tactics
安全使用建议
This skill is internally coherent and contains practical growth tactics, but review before acting: many tactics (coordinated upvotes, cold emailing, scraping contacts) can violate platform policies or anti-spam laws—use only compliant methods and obtain consent. Because the skill names third‑party services, be mindful that integrating those services will require you to supply and protect API keys or account credentials separately (the skill does not request them). If you plan to automate actions, audit the automation for policy/legal risk and limit any agent autonomy when performing outreach or platform interactions.
功能分析
Type: OpenClaw Skill Name: growth-hacker-early-stage Version: 1.0.0 The skill bundle consists entirely of strategic and tactical documentation for growth hacking, providing advice on user acquisition and conversion optimization. It contains no executable code, scripts, or instructions that would lead to data exfiltration, unauthorized access, or malicious behavior by the AI agent (SKILL.md and references/channel-playbooks.md).
能力评估
Purpose & Capability
Name/description align with the content. The SKILL.md and channel playbooks provide tactics for acquisition, activation, retention, referrals, and A/B testing; there are no unexpected binaries, env vars, or config paths required.
Instruction Scope
Instructions stay within growth/marketing scope (channel tactics, referral mechanics, measurement). Some recommendations (organizing upvotes, mass cold outreach, use of email-finding tools) raise ethical/platform‑policy and legal considerations (spam laws, site rules), but they are consistent with a growth playbook rather than indicating hidden or unrelated behavior.
Install Mechanism
No install spec and no code files — instruction-only skill that does not write to disk or fetch external code. This is the lowest-risk install profile.
Credentials
The skill declares no required environment variables or credentials. The guide names third-party tools (Posthog, GrowthBook, Apollo.io, Hunter.io, Resend, Beehiiv, etc.) which, if you choose to use them, will require separate credentials handled outside this skill. That is proportionate but users should be aware they must provide and protect those credentials when integrating tools.
Persistence & Privilege
always is false, no config paths or system modifications, and the skill does not request permanent presence or elevated privileges. Autonomous invocation is allowed by default on the platform but is not unusual or excessive here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install growth-hacker-early-stage
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /growth-hacker-early-stage 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
0-to-traction framework: acquisition diagnosis, A/B testing, channel playbooks (Reddit, HN, Product Hunt, cold email, Twitter). Adapted from agency-agents.
元数据
Slug growth-hacker-early-stage
版本 1.0.0
许可证 MIT-0
累计安装 3
当前安装数 3
历史版本数 1
常见问题

Growth Hacker (Early Stage) 是什么?

Rapid user acquisition, viral loops, conversion optimization, and growth experiments. Use when working on: getting first users, improving signup/activation r... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 452 次。

如何安装 Growth Hacker (Early Stage)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install growth-hacker-early-stage」即可一键安装,无需额外配置。

Growth Hacker (Early Stage) 是免费的吗?

是的,Growth Hacker (Early Stage) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Growth Hacker (Early Stage) 支持哪些平台?

Growth Hacker (Early Stage) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Growth Hacker (Early Stage)?

由 Bullkis1(@bullkis1)开发并维护,当前版本 v1.0.0。

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