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loop-detect

Detect growth loops in the business and model each loop's amplification by script. "what growth loops do we have"

plugins/indranilbanerjee/digital-marketing-pro/skills/loop-detect/SKILL.md

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# /digital-marketing-pro:loop-detect

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Detect, model, and optimize growth loops in the business. Identify existing compounding loops — viral (users invite users), content (content attracts users who create content), data (more users improve the product which attracts more users), paid (revenue funds ads that generate more revenue), ecosystem (integrations attract users who build integrations), and community (members attract members who contribute value). Model each loop's effectiveness with amplification factors and cycle times, find bottlenecks that limit compounding, and propose new loops based on the business model and current strengths.

## Input Required

The user must provide (or will be prompted for):

- **Business metrics**: Key growth and engagement data — user acquisition numbers (signups, activations, sources), content production volume (blog posts, UGC, social mentions), revenue figures (MRR, ARPU, LTV), referral data (invites sent, referral conversions, viral coefficient), engagement metrics (DAU/MAU, session frequency, feature adoption), and retention rates (weekly, monthly, annual). Historical data across at least 3 months preferred for trend detection
- **Business model**: The company's primary business model — SaaS (subscription software), eCommerce (product sales), marketplace (connecting buyers and sellers), media (content and advertising), B2B services (consulting, agency), developer tools (API/platform), community/social (network effects), or hybrid. This determines which loop archetypes are most relevant and what amplification factors to expect