Viral Loop Designer for Openclaw

A strategic growth engineering tool that extracts viral patterns from canonical case studies to design custom, high-conversion referral loops.

quochungto
v1.0.0
Apr 14, 2026
0
339
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install bookforge-viral-loop-designer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install bookforge-viral-loop-designer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Viral Loop Designer?

The Viral Loop Designer is a sophisticated framework for growth product managers and engineers looking to build sustainable acquisition engines. Instead of simply copying tactics, this skill analyzes the structural logic of successful companies like Dropbox, Airbnb, and LinkedIn to adapt their growth patterns to your specific product.

It moves beyond basic referral templates by classifying your product into specific mechanism types: word-of-mouth amplification, instrumented virality, or embedded referral. By modeling the K-factor and cycle time, Openclaw Skills allow you to predict growth outcomes before writing a single line of production code.

Viral Loop Designer Use Cases

  • You need to design or redesign a referral program that actually moves the needle on growth.
  • Your leadership is asking to replicate the growth of major tech giants like Dropbox or Hotmail.
  • You want to evaluate if your product has inherent viral potential before investing engineering resources.
  • You need to identify and avoid viral spam traps that could damage your brand reputation.
  • You want to optimize the conversion funnel of an existing sharing mechanism.

How Viral Loop Designer Works

  1. Context Extraction: Analyzes your product brief to identify core value propositions and the 'aha moment'.
  2. Viral Capability Assessment: Evaluates network effects, natural sharing occasions, and incentive alignment.
  3. Mechanism Classification: Categorizes the best growth path—Word-of-Mouth, Instrumented, or Embedded Referral.
  4. Pattern Mapping: Matches your product structure to canonical patterns like Bilateral Incentives or SEO-Driven Virality.
  5. K-Factor Modeling: Calculates the potential viral coefficient ($K = \text{invites} \times \text{conversion}$) and cycle time.
  6. Experiment Design: Generates a low-cost testing plan to validate the loop's core assumptions.
  7. Spam Trap Audit: Checks the design against known dark patterns to protect brand equity.

Viral Loop Designer Setup

To install this growth engineering skill, use the Openclaw Skills CLI:

clawhub install bookforge-ai/viral-loop-designer

Ensure you have a product-brief.md in your workspace so the agent can analyze your product's structural conditions.

Viral Loop Designer Data Schema & Taxonomy

The skill generates structured growth assets to guide your development team:

File Description
viral-loop-design.md Contains the mechanism type, loop diagram, K-factor model, and pattern logic.
referral-test-plan.md Outlines the first experiment hypothesis, success thresholds, and spam trap checklists.

It organizes data around the K-factor model:

  • Payload: Average invites sent per active user.
  • Conversion Rate: Percentage of recipients who activate.
  • Cycle Time: Time elapsed from signup to first invite sent.

Viral Loop Designer Advanced Features

  • Multi-Agent Integration: Works with the Acquisition Channel Scorer and PMF Readiness Gate to ensure growth efforts aren't wasted.
  • Custom K-Factor Derivations: Advanced modeling for SEO-driven and passive instrumented loops.
  • Pattern Extraction Engine: Moves beyond surface-level 'invites' to analyze the underlying structural logic of platform arbitrage.
  • Automated Experiment Prioritization: Ranks growth experiments based on potential impact and implementation cost.

SKILL.md


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