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Agent Skill · 研究检索

growth-loop-orchestrator(增长循环协调器)

growth-loop-orchestrator 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

growth-loop-orchestrator 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 13,112。

总安装 9,670周安装 407GitHub Stars 公开资料未说明下载 3,386核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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-loop-orchestrator(增长循环协调器)
来源仓库:https://github.com/harrylabsj/growth-loop-orchestrator
安装命令:
openclaw skills install growth-loop-orchestrator
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install growth-loop-orchestrator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

协调多个技能形成自我强化增长闭环,连接使用反馈与产品迭代。适用于复杂产品生态系统的协同优化场景。通过OpenClaw安装,配置触发条件后自动调度相关技能。循环稳定性依赖各环节数据一致性。growth-loop-orchestrator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

初始阶段建议手动验证关键节点后再全面启用。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install growth-loop-orchestrator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

growth-loop-orchestrator 怎么安装?

在终端执行 openclaw skills install growth-loop-orchestrator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

growth-loop-orchestrator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

growth-loop-orchestrator 需要什么权限?

权限级别是需要联网。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。

growth-loop-orchestrator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

growth-loop-orchestrator 用的人多吗?

公开数据是累计安装 9,670 次,近一周安装 407 次,下载 3,386 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

growth-loop-orchestrator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
growth-loop-orchestrator

增长循环协调器 · 本页

9,670—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
growth-loop-orchestrator
description
Orchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing growth strategies, optimizing skill adoption, creating viral loops, or building sustainable growth mechanisms.

Growth Loop Orchestrator

Overview

The growth-loop-orchestrator skill designs, implements, and optimizes growth loops across the skill portfolio. It connects usage, feedback, improvement, and adoption into self-reinforcing cycles that drive sustainable growth.

When to Use

  • Designing growth strategies for skills
  • Creating viral or referral loops
  • Optimizing skill adoption funnels
  • Building user engagement mechanisms
  • Planning portfolio growth initiatives
  • Analyzing growth metrics and loops
  • Troubleshooting growth stagnation
  • Designing network effects

Core Concepts

Growth Loop Types

TypeMechanismExample
viralUsers bring new usersShare results, invite others
contentUsage creates contentPublic outputs, templates
networkMore users = more valueCollaborative features
engagementUsage drives more usageHabits, streaks, rewards
feedbackUsage improves productLearning from actions

Loop Components

Every growth loop has:

  1. Input: Users, actions, or content entering the loop
  2. Action: What users do within the loop
  3. Output: Results that feed back into the loop
  4. Conversion: How outputs become new inputs
  5. Amplification: What makes the loop grow

Loop Metrics

MetricDescriptionTarget
cycle_timeTime for one loop iteration< 7 days
conversion_rate% that complete the loop> 20%
viral_coefficientNew users per existing user> 0.3
retention% who continue looping> 40%
amplificationGrowth rate per cycle> 10%

Input

Accepts:

  • Current growth metrics
  • User behavior data
  • Skill portfolio information
  • Target growth goals
  • Loop design parameters

Output

Produces:

  • Growth loop designs
  • Orchestration plans
  • Metric dashboards
  • Optimization recommendations
  • A/B test plans

Workflow

Designing a Growth Loop

  1. Identify Core Value

- What value do users get? - What can they share or create? - What would others want?

  1. Map User Journey

- Entry points - Key actions - Sharing moments - Conversion paths

  1. Design the Loop

- Input source - Key action - Output creation - Distribution mechanism - Conversion back to input

  1. Add Amplification

- Incentives - Friction reduction - Network effects - Social proof

  1. Measure and Optimize

- Track loop metrics - Identify bottlenecks - Test improvements - Scale what works

Analyzing Existing Loops

  1. Map Current State

- Identify existing loops - Measure current performance - Find broken connections

  1. Diagnose Issues

- Where do users drop off? - What's blocking conversion? - Where is friction highest?

  1. Generate Solutions

- Fix broken connections - Reduce friction - Add amplification

  1. Test and Validate

- A/B test changes - Measure impact - Iterate quickly

Commands

Design Growth Loop

./scripts/design-loop.sh --type viral --skill <name> [--output loop-design.md]

Analyze Current Loops

./scripts/analyze-loops.sh [--skill <name>] [--portfolio]

Optimize Loop Performance

./scripts/optimize-loop.sh --loop-id <id> [--target metric] [--test]

Track Growth Metrics

./scripts/track-metrics.sh [--skill <name>] [--dashboard] [--period 30d]

Generate Growth Report

./scripts/generate-report.sh --type loops|funnel|portfolio [--output report.md]

Simulate Loop

./scripts/simulate-loop.sh --design <file> [--cycles 10] [--users 1000]

Output Format

Growth Loop Design

# Growth Loop Design: [Name]

## Loop Type: Viral

## Loop Diagram

[New User] → [Use Skill] → [Create Output] → [Share] → [New User Sees] → [Try Skill] → [New User]


## Components

### Input
- Source: User creates content
- Volume: ~50 outputs/day
- Quality: High (user-generated)

### Action
- What: User shares output
- Where: Social, email, link
- Friction: Medium (requires action)

### Output
- Type: Sharable result
- Format: Image, link, export
- Value: Demonstrates skill capability

### Conversion
- Mechanism: View → Try
- Rate: 15% (target: 25%)
- Time: Within 24 hours

### Amplification
- Social proof: "X people used this"
- Incentive: Free credits for sharing
- Network: Collaborative features

## Metrics

| Metric | Current | Target |
|--------|---------|--------|
| Cycle Time | 3 days | 1 day |
| Conversion Rate | 15% | 25% |
| Viral Coefficient | 0.2 | 0.5 |
| Retention | 35% | 50% |

## Optimization Plan

### Immediate (This Week)
1. Add one-click sharing
2. Create shareable templates
3. Add social proof badges

### Near-term (This Month)
1. Implement referral rewards
2. Add collaboration features
3. Create public gallery

### Long-term (This Quarter)
1. Build network effects
2. Add team features
3. Create marketplace

## Success Criteria
- Viral coefficient > 0.5
- Cycle time < 24 hours
- 1000 new users/month from loop

Loop Performance Dashboard

{
  "dashboard": "growth-loops",
  "period": "2024-03-01 to 2024-03-31",
  "loops": [
    {
      "id": "viral-share",
      "name": "Viral Sharing Loop",
      "type": "viral",
      "metrics": {
        "cycle_time_hours": 48,
        "conversion_rate": 0.18,
        "viral_coefficient": 0.25,
        "retention_7d": 0.42,
        "amplification": 1.15
      },
      "status": "active",
      "health": "good",
      "bottleneck": "share_rate",
      "recommendation": "Add one-click sharing buttons"
    },
    {
      "id": "content-seo",
      "name": "Content SEO Loop",
      "type": "content",
      "metrics": {
        "cycle_time_days": 30,
        "conversion_rate": 0.05,
        "content_velocity": 12,
        "organic_growth": 1.08
      },
      "status": "active",
      "health": "fair",
      "bottleneck": "content_quality",
      "recommendation": "Improve output shareability"
    }
  ],
  "portfolio_summary": {
    "total_loops": 4,
    "active_loops": 3,
    "avg_viral_coefficient": 0.22,
    "monthly_growth_rate": 0.15
  }
}

Loop Patterns

Viral Loop Pattern

Use → Create → Share → View → Signup → Use

Keys: Easy sharing, valuable output, low friction signup

Content Loop Pattern

Use → Publish → Index → Search → View → Use

Keys: SEO-friendly, public by default, discoverable

Network Loop Pattern

Join → Invite → Collaborate → Value ↑ → More Invite

Keys: Collaboration value, invite incentives, team features

Engagement Loop Pattern

Use → Reward → Habit → Daily Use → Reward

Keys: Meaningful rewards, streaks, progress

Feedback Loop Pattern

Use → Feedback → Improve → Better Experience → Use

Keys: Easy feedback, fast iteration, visible improvements

Quality Rules

  • Design loops that add value, not just growth
  • Measure full loop, not just parts
  • Optimize for sustainable growth
  • Test before scaling
  • Monitor for gaming/abuse
  • Balance growth with quality

Good Trigger Examples

  • "Design a growth loop for this skill"
  • "How can we make this skill viral?"
  • "Analyze our current growth loops"
  • "What's blocking our growth?"
  • "Design a referral program"
  • "How can we increase user engagement?"
  • "Track our growth metrics"
  • "Optimize our conversion funnel"
  • "Create a network effect"

Limitations

  • Requires usage data for meaningful analysis
  • Growth loops take time to validate
  • Network effects need critical mass
  • Viral loops are hard to predict
  • Metrics can be gamed
  • Growth without value is unsustainable

Related Skills

  • learning-evolution - For iterating on loops
  • insight-tracker - For capturing growth insights
  • decision-distiller - For growth strategy decisions
  • skill-market-analyzer - For market-based growth

Resources

scripts/

  • design-loop.sh - Design new growth loops
  • analyze-loops.sh - Analyze existing loops
  • optimize-loop.sh - Optimize loop performance
  • track-metrics.sh - Track growth metrics
  • simulate-loop.sh - Simulate loop behavior

references/

  • Growth loop patterns
  • Viral mechanics
  • Network effect theory
  • Engagement design principles

平台分布

OpenClaw

87.75%
按下载量换算2,971

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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