growth-loops_skill

This skill designs and optimizes growth loops to create self-reinforcing systems that compound user acquisition, activation, and retention over time.
  • Python

21

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

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npx veilstrat add skill omer-metin/skills-for-antigravity --skill growth-loops

  • SKILL.md1.8 KB

Overview

This skill designs and optimizes growth loops—self-reinforcing systems where outputs feed future inputs to create compounding growth. It focuses on identifying the specific loop type (viral, content, paid, sales, or product), measuring the key metrics, and accelerating the weakest links to shorten cycle time and improve conversion at each step. The approach treats growth as systems engineering rather than isolated tactics.

How this skill works

The skill inspects product flows to identify loop entry points, conversion touchpoints, and return mechanics that re-inject value. It quantifies cycle time and per-step conversion rates, highlights bottlenecks, and recommends targeted experiments to increase loop velocity and yield. It also validates loop integrity against failure modes and compliance constraints before recommending scale-up actions.

When to use it

  • Launching a feature intended to create viral or referral-driven adoption
  • Diagnosing stagnant or plateauing user growth with evidence of repeatable behaviors
  • Designing content or product experiences that should generate ongoing acquisition
  • Evaluating paid-to-organic handoffs where paid acquisition should feed a retention loop
  • Planning go-to-market strategies that depend on compounding network effects

Best practices

  • Map the loop end-to-end and measure conversion and cycle time at each step
  • Optimize the shortest, highest-leverage cycle first to accelerate compounding
  • Prioritize reducing friction where users cross from one loop stage to the next
  • Use lightweight experiments to validate causal impact before scaling
  • Monitor failure modes—leaky handoffs or negative feedback—and build rollback criteria

Example use cases

  • Designing a referral loop that converts new users into invited referrers within one session
  • Transforming a content funnel into a discoverable content loop that drives organic growth
  • Optimizing a paid loop so paid users trigger organic signals that lower future CAC
  • Reworking an onboarding flow to close the product loop faster and improve retention
  • Coordinating sales and product loops so closed deals feed case studies that accelerate demand

FAQ

Choose the loop with the highest potential return and the shortest, addressable cycle time. Prioritize where small conversion lifts unlock large downstream gains.

What metrics matter most for growth loops?

Track per-step conversion rates, cycle time, LTV:CAC where applicable, and the loop’s reinjection rate (how often outputs re-enter the loop).

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growth-loops skill by omer-metin/skills-for-antigravity | VeilStrat