Agent skill · Content & Marketing

loop-detect

Identify and model growth loops. Use when: detecting viral, content, or paid loops, modeling effectiveness, proposing new loops.

indranilbanerjeegithub.com/indranilbanerjeeGitHub ↗
claude-codecopilotcursorcodexMIT
Install
npx skills add indranilbanerjee/digital-marketing-pro --skill loop-detect --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/loop-detect/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 700
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# /digital-marketing-pro:loop-detect ## 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 - **Busi

What's inside
Steps it walks through
  1. Purpose
  2. Input Required
  3. Process
  4. Output
  5. Agents Used
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About this skill
What does the loop-detect skill do?

Identify and model growth loops. Use when: detecting viral, content, or paid loops, modeling effectiveness, proposing new loops.

How do I install it?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill loop-detect --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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