growth-tactic-simulator

Simulate PLG scenarios and generate A/B test plans for SOCELLE.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/BruceTyndall/socelle-global --skill growth-tactic-simulator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: growth-tactic-simulator
Source: https://github.com/BruceTyndall/socelle-global/tree/main/.agents/skills/growth-tactic-simulator
Command: npx skills add https://github.com/BruceTyndall/socelle-global --skill growth-tactic-simulator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured framework to project the revenue impact of product changes and growth strategies before committing engineering resources, bridging the gap between product decisions and revenue impact.

Core Features & Use Cases

  • PLG Scenario Modeling: Simulate product-led growth scenarios, including user acquisition, conversion rates, and churn.
  • Retention Mechanics Simulation: Model how different retention strategies affect user base and revenue over time.
  • A/B Test Plan Generation: Create detailed A/B test plans based on simulated scenarios to validate hypotheses.
  • Revenue Projection: Forecast Net Revenue Retention (NRR), viral coefficients, and Monthly Recurring Revenue (MRR).
  • Use Case: A product manager wants to understand the potential revenue uplift from a new referral program. They can use this skill to model the expected increase in users and conversions, and then generate an A/B test plan to validate the program's effectiveness.

Quick Start

Use the growth-tactic-simulator skill to model a scenario where a 10% increase in viral coefficient leads to a 15% ARR growth over 12 months, starting with 1000 users and a 5% monthly churn rate.

Frequently Asked Questions about growth-tactic-simulator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I model product-led growth scenarios and project revenue impact before writing code?

You can model product-led growth scenarios by simulating user acquisition, conversion rates, and churn mechanics to project Monthly Recurring Revenue and Net Revenue Retention before committing engineering resources.

Can I simulate retention mechanics and calculate viral coefficients for a referral program?

Yes, retention mechanics simulation allows you to model how different referral strategies affect user base growth by calculating projected viral coefficients and their impact on revenue over time.

What is the best way to generate an A/B test plan from a growth modeling hypothesis?

The best way to generate an A/B test plan is to model the growth scenario first, then automatically create a detailed Markdown test plan validating the simulated revenue uplift and conversion hypotheses.

Do I need Python to run cohort analysis and NRR projections?

Yes, Python is required to run the simulation logic for cohort analysis, retention mechanics, and Net Revenue Retention projections, while Markdown is used to output the generated A/B test plans.

How does PLG strategy simulation work for conversion funnel optimization?

PLG strategy simulation works by modeling user acquisition and conversion rates across the funnel, allowing you to forecast changes in Monthly Recurring Revenue based on adjusted retention and churn variables.