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Growth Loop Orchestrator

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
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在 OpenClaw 中安装
/install growth-loop-orchestrator
功能描述
Orchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing...
使用说明 (SKILL.md)

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

Type Mechanism Example
viral Users bring new users Share results, invite others
content Usage creates content Public outputs, templates
network More users = more value Collaborative features
engagement Usage drives more usage Habits, streaks, rewards
feedback Usage improves product Learning 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

Metric Description Target
cycle_time Time for one loop iteration \x3C 7 days
conversion_rate % that complete the loop > 20%
viral_coefficient New users per existing user > 0.3
retention % who continue looping > 40%
amplification Growth 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?
  2. Map User Journey

    • Entry points
    • Key actions
    • Sharing moments
    • Conversion paths
  3. Design the Loop

    • Input source
    • Key action
    • Output creation
    • Distribution mechanism
    • Conversion back to input
  4. Add Amplification

    • Incentives
    • Friction reduction
    • Network effects
    • Social proof
  5. 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
  2. Diagnose Issues

    • Where do users drop off?
    • What's blocking conversion?
    • Where is friction highest?
  3. Generate Solutions

    • Fix broken connections
    • Reduce friction
    • Add amplification
  4. Test and Validate

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

Commands

Design Growth Loop

./scripts/design-loop.sh --type viral --skill \x3Cname> [--output loop-design.md]

Analyze Current Loops

./scripts/analyze-loops.sh [--skill \x3Cname>] [--portfolio]

Optimize Loop Performance

./scripts/optimize-loop.sh --loop-id \x3Cid> [--target metric] [--test]

Track Growth Metrics

./scripts/track-metrics.sh [--skill \x3Cname>] [--dashboard] [--period 30d]

Generate Growth Report

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

Simulate Loop

./scripts/simulate-loop.sh --design \x3Cfile> [--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 \x3C 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
安全使用建议
This package mostly does what its name says, but there are packaging and instruction inconsistencies you should resolve before installing or running it: - SKILL.md and README reference scripts that are missing (optimize-loop.sh, generate-report.sh, simulate-loop.sh). That could be sloppy packaging or an incomplete release — ask the author or inspect the repository for the missing files. - The included scripts use utilities (shuf, bc, jq) that were not declared as requirements; ensure your environment has these binaries or the scripts may fail. - Some bundled data files (e.g., data/METRICS-*.json) contain placeholder/malformed fields; this looks like template/sample data rather than live telemetry, but review any data files before publishing. - The content-design guidance includes 'Make outputs public by default'. If you plan to run this on real user data, confirm whether outputs will be published or exported externally — that could leak user content. The scripts as provided do not perform network uploads, but the documentation suggests publishing by default for content loops. Before installing or giving this skill access to real data, recommended steps: 1) Inspect the missing scripts or request a complete release from the author. 2) Run test.sh in a sandbox/local dev environment to see what files are written and verify no network activity. 3) Ensure required utilities (shuf, bc, jq) exist or update scripts to not require them. 4) If you will use real user/skill portfolio data, verify and control where outputs are published; avoid running with production data until you confirm publication behavior. Given these inconsistencies, treat the package as potentially incomplete or poorly packaged rather than actively malicious, but proceed cautiously.
功能分析
Type: OpenClaw Skill Name: growth-loop-orchestrator Version: 1.0.0 The growth-loop-orchestrator bundle consists of shell scripts and markdown templates designed to generate growth strategy reports and simulate metrics. The scripts (design-loop.sh, analyze-loops.sh, track-metrics.sh) are primarily template generators that write static or randomized data to a local directory; they do not perform any network requests, access sensitive system files, or execute obfuscated code. The SKILL.md instructions are well-aligned with the stated purpose of growth marketing and do not contain any prompt-injection attacks or unauthorized commands.
能力评估
Purpose & Capability
The scripts (design-loop.sh, analyze-loops.sh, track-metrics.sh) implement loop design, analysis, and simulated metrics consistent with the skill's stated purpose. However the SKILL.md and README reference additional commands (optimize-loop.sh, generate-report.sh, simulate-loop.sh, generate-report.sh) that are not present in the file manifest, and the package does not declare required binaries (the scripts use shuf, bc and optionally jq).
Instruction Scope
Runtime instructions tell the agent to run shell scripts that write reports into a data/ directory (expected), but SKILL.md broadly states it 'accepts user behavior data' and 'skill portfolio information' — which could imply reading or aggregating other skills' data. The actual scripts do not access system or network resources, but the mismatch between instructions and included scripts (missing optimize/generate/simulate scripts) is a scope/integrity problem.
Install Mechanism
No install spec (instruction-only) and all code is bundled in the skill (no external downloads) — low install risk. Minor note: the manifest includes executable shell scripts but the package did not declare external dependencies (shuf, bc, jq) which may be required on target systems.
Credentials
The skill does not require credentials or config paths. Scripts accept an optional GROWTH_DATA_DIR environment variable (reasonable). No secrets or unrelated environment variables are requested.
Persistence & Privilege
always is false and the skill does not request broad or persistent platform privileges. The included test.sh may set executable bits on its own scripts, but the skill does not modify other skills or system-wide settings.
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-loop-orchestrator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /growth-loop-orchestrator 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
Initial release.
元数据
Slug growth-loop-orchestrator
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Growth Loop Orchestrator 是什么?

Orchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 326 次。

如何安装 Growth Loop Orchestrator?

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

Growth Loop Orchestrator 是免费的吗?

是的,Growth Loop Orchestrator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Growth Loop Orchestrator 支持哪些平台?

Growth Loop Orchestrator 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 Loop Orchestrator?

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

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