A strategic framework for building and managing self-reinforcing cycles that drive sustainable skill adoption and user engagement.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install growth-loop-orchestrator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install growth-loop-orchestrator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The growth-loop-orchestrator is a specialized skill designed to move beyond traditional linear funnels by implementing self-reinforcing growth loops. By connecting usage, feedback, and adoption into continuous cycles, it ensures that every action taken by a user within the Openclaw Skills ecosystem contributes to further growth and product improvement.
This skill provides developers and product managers with the technical tools to architect viral, content, and network effects directly into their workflows. It focuses on long-term sustainability by prioritizing value-driven growth, ensuring that as the user base expands, the intrinsic value of the skill portfolio increases proportionally.
To begin orchestrating loops within your Openclaw Skills environment, utilize the provided shell scripts for design and analysis:
# Design a new viral growth loop for a specific skill
./scripts/design-loop.sh --type viral --skill <name>
# Analyze performance across your entire portfolio
./scripts/analyze-loops.sh --portfolio
# Track growth metrics over a 30-day period
./scripts/track-metrics.sh --skill <name> --dashboard --period 30d
The skill organizes growth data through a structured taxonomy of components and performance indicators:
| Component | Description | Metadata Tracked |
|---|---|---|
| Input | The source of the loop | Volume, Source, Quality |
| Action | User behavior within the loop | Friction level, Frequency |
| Output | The shareable result | Format, Distribution channel |
| Conversion | Transformation to new input | Rate (%), Time-to-convert |
Performance is evaluated via a JSON dashboard containing cycle_time, viral_coefficient, and amplification factors.
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