retention-analysis SKILL.md skillA

retention-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/retention-analysis@git:20260702.b8fb11d

Pins git:20260702.b8fb11d 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/retention-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260702.b8fb11d, committed Jul 2, 2026
Size
6,751 bytes
Repository stars
1,475
License
MIT

Estructura un análisis de retención, investigación de churn o deep-dive de engagement para cualquier equipo de producto. Utiliza cuando se te pida analizar la retención de usuarios, investigar churn, medir DAU/MAU o construir un plan de mejora de retención. Produce una snapshot de retención con hipótesis de causa raíz, correlación de aha-moment 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 Retención

Diagnostica por qué los usuarios se van, identifica qué los mantiene y recomienda intervenciones específicas y testables — no sugerencias vagas como "mejorar onboarding".

## Fundamentos de Retención

**La curva de retención tiene dos componentes:**
1. **Inclinación de la caída inicial** (D1–D7) — problema de onboarding
2. **Nivel base a largo plazo** — indicador de product-market fit

Un producto con PMF tiene una curva de retención que se aplana. Si tiende a cero, tienes un problema de PMF, no de onboarding. Nombra esta distinción explícitamente.

---

## Definiciones de Métricas de Retención

| Métrica | Fórmula | Qué te dice |
|---|---|---|
| Retención D1 | Usuarios que regresan el día 2 ÷ usuarios nuevos día 1 | Calidad de la primera experiencia |
| Retención D7 | Usuarios activos el día 8 ÷ usuarios que se unieron hace 7 días | Formación temprana de hábito |
| Retención D30 | Usuarios activos el día 31 ÷ usuarios que se unieron hace 30 días | Señal de product-market fit |
| Ratio DAU/MAU | Usuarios activos diarios ÷ usuarios activos mensuales | Stickiness (>20% bueno, >50% excelente) |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mohitagw15856/pm-claude-skills/retention-analysis@sha256:21a9d950d5aab8d7

The line at the top of this page pins the label git:20260702.b8fb11d, 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_bvz3563pl6unmuyv.svg)](https://markdownregistry.com/a/art_bvz3563pl6unmuyv)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 2, 2026.

versioncommittedcommitsizeaudit
git:20260702.b8fb11d latest2026-07-02 b8fb11d 6,751 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 (6751 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_bvz3563pl6unmuyv
GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/retention-analysis
GET https://markdownregistry.com/api/v1/blob/21a9d950d5aab8d709529c206750351ef0978c41715f87221420ed6010805664

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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