cohort-analysis SKILL.md skillA

cohort-analysis from mohitagw15856/pm-claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mohitagw15856/pm-claude-skills/cohort-analysis@git:20261011.3fb211c

Pins git:20261011.3fb211c 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
i18n/es/skills/cohort-analysis/SKILL.md
Versions recorded
2
Latest version
git:20261011.3fb211c, committed Oct 11, 2026
First version recorded
Jul 2, 2026
Size
16,700 bytes
Repository stars
1,475
License
MIT

Estructura un análisis de cohortes para retención, LTV o patrones de comportamiento. Úsalo cuando se te pida ejecutar un análisis de cohortes, analizar retención por cohorte, segmentar usuarios por comportamiento en el tiempo, o calcular valor de vida útil por período de adquisición. Produce un marco completo de análisis de cohortes con metodología, definiciones de cohortes, curvas de retención e intervenciones priorizadas.

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

# Skill de Análisis de Cohortes

Produce un análisis de cohortes estructurado que cubre curvas de retención, estimación de LTV, segmentación comportamental, indicadores principales de churn y intervenciones priorizadas. El resultado está listo para presentar a liderazgo de producto o compartir con equipos de growth y datos.

---

## Entradas Requeridas

**Solicita cualquiera de estas que falte antes de empezar. No inventes números, benchmarks ni detalles de esquema.**

| Entrada | Qué preguntar si falta |
|---|---|
| **Objetivo del análisis** | Mejora de retención / modelado de LTV / segmentación comportamental / predicción de churn — elige un objetivo principal |
| **Producto o feature** | ¿Qué se está analizando? |
| **Definición de cohorte** | ¿Qué agrupa a los usuarios en una cohorte? (mes de adquisición, canal de registro, tier de plan, fecha de adopción de feature) |
| **Ventana de observación** | ¿Cuántos períodos seguir? (p. ej. 12 meses, 8 semanas) |
| **Métrica clave** | ¿Qué se mide por cohorte? (tasa de retención, ingresos, puntuación de engagement, uso de features) |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mohitagw15856/pm-claude-skills/cohort-analysis@sha256:ffbbee662e1306b5

The line at the top of this page pins the label git:20261011.3fb211c, 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_eh7t7a6qgfpmdttl.svg)](https://markdownregistry.com/a/art_eh7t7a6qgfpmdttl)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 2, 2026 and Oct 11, 2026, about one every 101 days.

versioncommittedcommitsizeaudit
git:20261011.3fb211c latest2026-10-11 3fb211c 16,700 BA view · diff
git:20260702.b8fb11d2026-07-02 b8fb11d 10,326 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 (16700 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

mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_eh7t7a6qgfpmdttl
GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/cohort-analysis
GET https://markdownregistry.com/api/v1/blob/ffbbee662e1306b544058d5249778c36f2991a1013a170418effbc4ffecf02be

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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