A strategic framework for designing, implementing, and optimizing self-reinforcing growth loops across AI agent portfolios.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skills-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 skills-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 Skills Orchestrator is a powerful tool designed to build sustainable adoption mechanisms by connecting usage, feedback, and improvement into viral cycles. By leveraging this tool within the Openclaw Skills framework, developers can move beyond linear growth models and instead architect loops where every user action feeds back into the system to drive further discovery and engagement. It provides a structured approach to identifying core value drivers and transforming them into scalable growth engines.
This skill is particularly valuable for developers looking to create network effects or viral coefficients within their AI agent ecosystems. It synthesizes complex growth strategies into actionable markdown templates and simulated performance reports, allowing for rapid prototyping of adoption strategies before full-scale implementation.
To begin orchestrating growth loops for your Openclaw Skills, ensure the provided shell scripts are executable in your environment.
# Design a new viral growth loop for a specific skill
./scripts/design-loop.sh --type viral --skill <skill-name>
# Analyze the existing loops across your entire portfolio
./scripts/analyze-loops.sh --portfolio
The skill organizes its orchestration logic through structured Markdown templates and simulation data.
| Component | Description | Format |
|---|---|---|
| Loop Design | Documentation of inputs, actions, outputs, and conversion steps | Markdown |
| Metrics Report | Simulated data for cycle time, retention, and viral coefficients | JSON/Table |
| Optimization Plan | Tiered roadmap for immediate, near-term, and long-term growth | Markdown List |
| Loop Patterns | Repository of proven growth structures (Viral, Content, Network) | Markdown |
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