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:20260714.b87d8d4

Pins 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-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260714.b87d8d4, committed Jul 14, 2026
Size
14,736 bytes
Repository stars
1,475
License
MIT

Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.

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 Analysis Skill

Produces a structured cohort analysis covering retention curves, LTV estimation, behavioural segmentation, leading churn indicators, and prioritised interventions. Output is ready to present to product leadership or share with growth and data teams.

---

## Required Inputs

**Ask for any of these that are missing before starting. Do not fabricate numbers, benchmarks, or schema details.**

| Input | What to ask if missing |
|---|---|
| **Analysis goal** | Retention improvement / LTV modelling / behavioural segmentation / churn prediction — pick one primary goal |
| **Product or feature** | What is being analysed? |
| **Cohort definition** | What groups users into a cohort? (acquisition month, signup channel, plan tier, feature adoption date) |
| **Observation window** | How many periods to track? (e.g. 12 months, 8 weeks) |
| **Key metric** | What is measured per cohort? (retention rate, revenue, engagement score, feature usage) |
| **Available data** | Paste schema, table names, or describe what metrics exist — do not assume |
| **Baseline or goal** | Any existing retention benchmarks or targets to compare against? |
…

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:becb400e79f6762a

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ofs6gddbk3lhcqi2.svg)](https://markdownregistry.com/a/art_ofs6gddbk3lhcqi2)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 14, 2026.

versioncommittedcommitsizeaudit
git:20260714.b87d8d4 latest2026-07-14 b87d8d4 14,736 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 (14736 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_ofs6gddbk3lhcqi2
GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/cohort-analysis
GET https://markdownregistry.com/api/v1/blob/becb400e79f6762a9fcb069528f9f29fb285600b9caeb4029e29eb1f853f0b5a

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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