cohort-curve-model SKILL.md skillA
cohort-curve-model from mohitagw15856/pm-claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mohitagw15856/pm-claude-skills/cohort-curve-model@git:20260714.b87d8d4Pins git:20260714.b87d8d4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mohitagw15856/pm-claude-skills
- Path
exports/openclaw/cohort-curve-model/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260714.b87d8d4, committed Jul 14, 2026
- Size
- 3,964 bytes
- Repository stars
- 1,475
- License
- MIT
Fit a retention curve to observed cohort data and project LTV — computed, not estimated. Use when someone has real cohort retention numbers (month 0, 1, 2…) and asks what lifetime value, lifetime periods, or long-run retention they imply, or whether retention is flattening or leaking. Produces a fitted power curve (parameters, R², retention floor), a 24-36 period projection, and a real .xlsx with live formulas where editing ARPU recalculates LTV — via the bundled zero-dependency script.
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
# Cohort Curve Model Retention data has a shape, and the shape is the business. This skill fits the standard consumer-retention power curve r(t) = a·t^(−b) to observed cohort data by log-log least squares — actual arithmetic run by the bundled script, not model vibes — then projects it forward and prices it. ## Required Inputs - **Observed retention by period** — from period 0 (100%) through at least period 3-4. Percent or fraction, either works. More periods = a trustworthy fit; 4 is the floor. - **ARPU per period** (optional) — revenue per *retained* user per period. Without it, LTV is reported in lifetime-period multiples instead of currency. - **Projection horizon** (optional, default 24 periods). If the requester has cohort *tables* (rows of cohorts × months), take the average by period-age or fit the most recent complete cohort — say which you did. ## Output Format 1. **The fit** — a (scale), b (decay), R² of the log-log fit, and the observed tail floor. Interpret b plainly: **b < 0.5** = strong flattening, a habit is forming; **0.5–1** = normal decay; **b > 1** = leaky bucket, the curve never accumulates a base. …
Read the whole file at its exact version.
How to install
mdr add mohitagw15856/pm-claude-skills/cohort-curve-model@sha256:cf5c27eeefbb9889The line at the top of this page pins the label git:20260714.b87d8d4, 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.
[](https://markdownregistry.com/a/art_vo2a3ywqa4nrkufv)
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Versions
The registry has recorded 1 version of this file, committed on Jul 14, 2026.
Audit of the latest version
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- 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
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- pass: No script tag
Source
mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vo2a3ywqa4nrkufv GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/cohort-curve-model GET https://markdownregistry.com/api/v1/blob/cf5c27eeefbb988949b9047bb08dcd484dff45344061085b58885071ad374914
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.