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growth-embedded嵌入增长

Agent Skill

growth-embedded 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

423

周安装

18

GitHub Stars

317

下载量

148
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:growth-embedded(嵌入增长)
来源仓库:https://github.com/menkesu/awesome-pm-skills
仓库路径:skills/growth-embedded
安装命令:
npx skills add https://github.com/menkesu/awesome-pm-skills --skill growth-embedded
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/menkesu/awesome-pm-skills --skill growth-embedded

简介

growth-embedded 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于根据关键词、任务场景或来源线索进行信息搜集与整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否涉及联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Growth-First Development

When This Skill Activates

Claude uses this skill when:

  • Building features that could have viral mechanics
  • Adding referral or sharing functionality
  • Implementing analytics and tracking
  • Designing for network effects
  • Optimizing for activation and retention

Core Frameworks

1. YC Growth Playbook (Source: Gustaf Alstromer, Partner at YC)

The Three Growth Levers:

📈 Acquisition - How users discover you 🎯 Activation - First value experience 🔁 Retention - Users coming back

Priority Order:

"Retention first, activation second, acquisition last. Don't acquire users you can't retain."

Growth Loops:

User gets value → Shares with others → New users → Cycle repeats

Examples:

  • Dropbox: More storage for referrals
  • Superhuman: Invite-only creates FOMO
  • Notion: Shared docs bring collaborators

2. Network Effects Patterns

Types:

Direct Network Effects:

  • More users = more value for all
  • Example: Social networks, marketplaces

Data Network Effects:

  • More usage = smarter product
  • Example: Recommendations, AI features

Platform Network Effects:

  • More developers = more integrations
  • Example: Shopify apps, Zapier

3. Referral Mechanics

Double-Sided Incentive:

Referrer gets: [benefit]
Referred gets: [benefit]
Both win: [shared value]

Tracking:

// Referral flow
generateReferralLink(user) {
  const link = `app.com/ref/${user.id}`;
  track('referral_link_generated', { userId: user.id });
  return link;
}

// Attribution
onSignup(referralCode) {
  const referrer = getUserByRefCode(referralCode);
  track('referral_signup', {
    referrer: referrer.id,
    referred: newUser.id
  });
  giveReward(referrer);
  giveReward(newUser);
}

4. Activation Optimization

Time to Value:

"Get users to 'aha moment' as fast as possible"

Activation Milestones:

  1. Signup complete
  2. Setup complete
  3. First value delivered
  4. Habit formed

Measure:

Activation Rate = (Users who reached value) / (Total signups)

Decision Tree: Growth Feature

NEW FEATURE
│
├─ Can users share this? ──────YES──→ ADD SHARE FUNCTIONALITY
│  NO ↓
│
├─ Creates network effects? ───YES──→ OPTIMIZE FOR VIRAL LOOPS
│  NO ↓
│
├─ First-time experience? ─────YES──→ OPTIMIZE ACTIVATION
│  NO ↓
│
├─ Repeat usage? ──────────────YES──→ INSTRUMENT RETENTION TRACKING
│  NO ↓
│
└─ STANDARD FEATURE ←──────────────────┘
   (Still track basic analytics)

Action Templates

Template 1: Referral System

# Referral Feature

## Incentive Structure
- **Referrer gets:** [reward]
- **Referred gets:** [reward]
- **Both benefit:** [shared value]

## Implementation

// Generate referral link const link = generateReferralLink(user);

// Track shares track('referral_shared', { channel: ['email', 'social', 'link'], userId: user.id });

// Track conversions track('referral_converted', { referrerId: referrer.id, referredId: newUser.id, timeToConversion: timestamp });

// Reward both giveReward(referrer, 'storage_upgrade'); giveReward(newUser, 'welcome_bonus');


## Metrics

- Link generation rate
- Share rate
- Conversion rate (clicked → signed up)
- Activation rate (signed up → activated)
- K-factor (viral coefficient)

Template 2: Activation Flow

# Activation Optimization

## Time to Value
- Target: <[X] minutes
- Current: [Y] minutes

## Activation Funnel
1. **Signup** (100% of signups)
2. **Profile Setup** ([X]%)
3. **First Action** ([X]%)
4. **Aha Moment** ([X]%)
5. **Habit Formation** ([X]%)

## Drop-off Points
- Biggest drop-off: [identify]
- Why: [hypothesis]
- Fix: [solution]

## Implementation

// Track activation milestones track('activation_milestone', { milestone: 'profile_complete', userId: user.id, timeToComplete: seconds });

// Identify where users drop off if (!completedSetup(user, 24hours)) { sendReminderEmail(user); }

Template 3: Growth Analytics

# Growth Metrics Dashboard

## Acquisition
- New signups: [X per day]
- Channels: [organic, referral, paid]
- Cost per acquisition: [$X]

## Activation
- Activation rate: [X]%
- Time to first value: [X] minutes
- Drop-off point: [step in funnel]

## Retention
- Day 1: [X]%
- Day 7: [X]%
- Day 30: [X]%
- Retention curve: [improving / flat / declining]

## Referral
- K-factor: [X] (viral coefficient)
- Referral rate: [X]% of users refer
- Conversion rate: [X]% of referred sign up

## Implementation

// Track key events track('user_activated', { userId, timestamp }); track('user_retained_day7', { userId, timestamp }); track('referral_sent', { referrerId, channel });

Quick Reference

🚀 Growth Checklist

Acquisition:

  • [ ] Referral system implemented
  • [ ] Viral loops identified
  • [ ] Share buttons prominent

Activation:

  • [ ] Time to value < 5 minutes
  • [ ] Onboarding optimized
  • [ ] Aha moment clear

Retention:

  • [ ] Usage triggers implemented
  • [ ] Email/push notifications
  • [ ] Habit formation designed

Analytics:

  • [ ] Cohort retention tracking
  • [ ] Funnel analysis
  • [ ] Attribution tracking

Real-World Examples

Example 1: Dropbox Referral

Incentive:

  • Referrer: +500MB storage
  • Referred: +500MB storage
  • Both win: More space

Result: 35% of signups from referrals


Example 2: Superhuman Activation

Time to Value:

  • < 2 minutes to first email sent
  • Guided onboarding
  • Keyboard shortcuts taught early

Result: 90%+ retention


Example 3: Notion Network Effects

Growth Loop:

  • User creates doc → Shares with team → Team joins Notion → Creates more docs → Cycle repeats

Result: Viral growth in teams


Common Pitfalls

❌ Mistake 1: Optimizing Acquisition Before Retention

Problem: Leaky bucket - users leave as fast as they join Fix: Fix retention first, then acquire

❌ Mistake 2: No Viral Mechanics

Problem: Every user requires paid acquisition Fix: Build sharing into core features

❌ Mistake 3: Slow Activation

Problem: Users drop off before seeing value Fix: Get to aha moment in < 5 minutes


Related Skills

  • zero-to-launch - For building growth into MVP
  • metrics-frameworks - For measuring growth metrics
  • exp-driven-dev - For A/B testing growth features
  • user-feedback-system - For improving retention

Key Quotes

Gustaf Alstromer:

"Retention first, activation second, acquisition last. Don't pour water into a leaky bucket."

Casey Winters:

"The best growth loops are built into the product, not bolted on."

Elena Verna:

"Acquisition is a tax on poor retention."

Further Learning

  • references/yc-growth-playbook.md - Complete YC growth frameworks
  • references/referral-examples.md - Successful referral programs
  • references/activation-patterns.md - Onboarding best practices
  • references/retention-strategies.md - Building habit-forming products

适合场景

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02

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能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.24%
按下载量换算51

Claude

31.49%
按下载量换算47

Cursor

18.55%
按下载量换算27

Gemini CLI

10.76%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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