How do I install the Growth Model skill?

Run npx skillmds@latest add nandanosql/growth-model in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Growth Model safe to use?

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Which AI agents work with Growth Model?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Growth Model free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Growth Model?

nandanosql (@nandanosql) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Growth Model by nandanosql — Agent Skill

Name: Growth Model
Author: nandanosql

File contents

Purpose

Build a quantitative growth model using the AARRR framework (Acquisition, Activation, Retention, Revenue, Referral) — creating a spreadsheet-ready model with assumptions, projections, and sensitivity analysis.

Application

AARRR Growth Model Template

# Growth Model: [Product Name]
**Period:** [Monthly/Quarterly projections]

## Assumptions
| Parameter | Value | Source | Confidence |
|-----------|-------|--------|-----------|
| Monthly traffic | [#] | [GA/marketing data] | [H/M/L] |
| Signup rate | [%] | [Current data] | [H/M/L] |
| Activation rate | [%] | [Current data] | [H/M/L] |
| Monthly retention | [%] | [Cohort data] | [H/M/L] |
| ARPU | [$] | [Revenue/users] | [H/M/L] |
| Referral coefficient | [#] | [Current data] | [H/M/L] |

## Funnel Model (Monthly)

| Stage | Month 1 | Month 3 | Month 6 | Month 12 |
|-------|---------|---------|---------|----------|
| Traffic | [#] | [#] | [#] | [#] |
| Signups | [#] | [#] | [#] | [#] |
| Activated | [#] | [#] | [#] | [#] |
| Active (retained) | [#] | [#] | [#] | [#] |
| Revenue | [$] | [$] | [$] | [$] |

## Sensitivity Analysis
| Scenario | Key Change | Revenue Impact |
|----------|-----------|---------------|
| **Bull** | Activation +10pts | [+$X/mo] |
| **Base** | Current assumptions | [$X/mo] |
| **Bear** | Retention -5pts | [-$X/mo] |

## Key Leverage Points
1. **Highest impact:** [Which funnel stage has most room + easiest improvement]
2. **Cheapest test:** [What to test first]
3. **Biggest risk:** [Which assumption, if wrong, breaks the model]

Quality Rubric

Dimension	0	1	2
Assumptions	Guesses	Some data	All data-sourced with confidence
Projections	Single scenario	3 scenarios	3 scenarios + sensitivity
Leverage Points	Not identified	Listed	Quantified impact per lever
Usability	Narrative only	Table format	Spreadsheet-ready

References

Related Skills

skills/analytics/funnel-analysis/SKILL.md — Data for the model
skills/growth/activation-optimization/SKILL.md — Improve activation lever
skills/growth/retention-deep-dive/SKILL.md — Improve retention lever
skills/analytics/saas-economics-efficiency-metrics/SKILL.md — Unit economics

External Frameworks

Dave McClure, AARRR / Pirate Metrics
Andrew Chen, Growth modeling

Skill type: Component Domain: Growth & Optimization

---name: growth-modeldescription: Build a quantitative growth model — mapping acquisition, activation, retention, revenue, and referral into a spreadsheet-ready framework with assumptions and sensitivity analysis.---## PurposeBuild a quantitative growth model using the **AARRR framework** (Acquisition, Activation, Retention, Revenue, Referral) — creating a spreadsheet-ready model with assumptions, projections, and sensitivity analysis.---## Application### AARRR Growth Model Template```markdown# Growth Model: [Product Name]**Period:** [Monthly/Quarterly projections]## Assumptions| Parameter | Value | Source | Confidence ||-----------|-------|--------|-----------|| Monthly traffic | [#] | [GA/marketing data] | [H/M/L] || Signup rate | [%] | [Current data] | [H/M/L] || Activation rate | [%] | [Current data] | [H/M/L] || Monthly retention | [%] | [Cohort data] | [H/M/L] || ARPU | [$] | [Revenue/users] | [H/M/L] || Referral coefficient | [#] | [Current data] | [H/M/L] |## Funnel Model (Monthly)| Stage | Month 1 | Month 3 | Month 6 | Month 12 ||-------|---------|---------|---------|----------|| Traffic | [#] | [#] | [#] | [#] || Signups | [#] | [#] | [#] | [#] || Activated | [#] | [#] | [#] | [#] || Active (retained) | [#] | [#] | [#] | [#] || Revenue | [$] | [$] | [$] | [$] |## Sensitivity Analysis| Scenario | Key Change | Revenue Impact ||----------|-----------|---------------|| **Bull** | Activation +10pts | [+$X/mo] || **Base** | Current assumptions | [$X/mo] || **Bear** | Retention -5pts | [-$X/mo] |## Key Leverage Points1. **Highest impact:** [Which funnel stage has most room + easiest improvement]2. **Cheapest test:** [What to test first]3. **Biggest risk:** [Which assumption, if wrong, breaks the model]```---## Quality Rubric| Dimension | 0 | 1 | 2 ||-----------|---|---|---|| **Assumptions** | Guesses | Some data | All data-sourced with confidence || **Projections** | Single scenario | 3 scenarios | 3 scenarios + sensitivity || **Leverage Points** | Not identified | Listed | Quantified impact per lever || **Usability** | Narrative only | Table format | Spreadsheet-ready |---## References### Related Skills- `skills/analytics/funnel-analysis/SKILL.md` — Data for the model- `skills/growth/activation-optimization/SKILL.md` — Improve activation lever- `skills/growth/retention-deep-dive/SKILL.md` — Improve retention lever- `skills/analytics/saas-economics-efficiency-metrics/SKILL.md` — Unit economics### External Frameworks- Dave McClure, AARRR / Pirate Metrics- Andrew Chen, Growth modeling---**Skill type:** Component**Domain:** Growth & Optimization

Frequently asked questions

Growth Model