growth-model SKILL.md skillA

growth-model from skillmedev/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillmedev/skills/growth-model@git:20261005.bea4ea5

Pins git:20261005.bea4ea5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
skillmedev/skills
Path
skills/growth-model/SKILL.md
Versions recorded
3
Latest version
git:20261005.bea4ea5, committed Oct 5, 2026
First version recorded
Jul 5, 2026
Size
9,174 bytes
Repository stars
19
License
MIT

Builds a driver-based growth model - acquisition, activation, retention, monetization, and a loop factor - that projects users and revenue bottom-up, runs base/upside/downside scenarios, and names the one constraint to work on next. Use when someone asks "build me a growth model", "what should our user projection be", "which lever moves growth most", "model our viral loop", or wants projections driven by real inputs instead of a hockey-stick guess. Do NOT use for the SaaS MRR bridge, NRR, and…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Growth Model

A growth model is not a revenue forecast with a hopeful curve. It is a driver-based system that shows how inputs (traffic, conversion, retention) compound into output (users, revenue) - and where the leverage is. The costly mistake this prevents: drawing the output curve first and back-filling assumptions to justify it, which produces a plan nobody can steer because no team owns an input.

## Operating procedure

Order matters: the loop must be identified before the equation is written, and the equation before any projection - otherwise the model quietly becomes a fixed-percent guess with extra columns.

### Step 1: gather inputs

- Current active users and the definition of "active" (a meaningful action, not a login).
- New users per period by channel, with each channel's volume and cost.
- Activation rate: the share of new users reaching first value. From real funnel data where it exists.
- Retention: the share of actives who stay each period - from cohort curves, never a flat assumption. If only aggregate churn exists, label the retention figure a guess.
- Revenue per retained user, including expansion.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillmedev/skills/growth-model@sha256:9421cc43821e56fd

The line at the top of this page pins the label git:20261005.bea4ea5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_eehfrkhe5ysf5lxp.svg)](https://markdownregistry.com/a/art_eehfrkhe5ysf5lxp)

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Versions

The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 5, 2026, about one every 46 days.

versioncommittedcommitsizeaudit
git:20261005.bea4ea5 latest2026-10-05 bea4ea5 9,174 BA view · diff
git:20260705.a28c4ce2026-07-05 a28c4ce 9,140 BA view · diff
git:20260705.acb55712026-07-05 acb5571 9,180 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9174 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

skillmedev/skills · 19 stars · license MIT · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_eehfrkhe5ysf5lxp
GET https://markdownregistry.com/api/v1/resolve?ref=skillmedev/skills/growth-model
GET https://markdownregistry.com/api/v1/blob/9421cc43821e56fd5a5d7fecf511903459b80808f9d43b1d59023d6a875ab14e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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