cohort-analysis SKILL.md skillA

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

mdr add akillness/jeo-skills/cohort-analysis@git:20260919.9f2a908

Pins git:20260919.9f2a908 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

akillness/jeo-skills

Path

.agent-skills/cohort-analysis/SKILL.md

Versions recorded

1

Latest version

git:20260919.9f2a908, committed Sep 19, 2026

Size

5,026 bytes

Repository stars

48

License

none declared

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.

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 & Retention Explorer

## Purpose
Analyze user engagement and retention patterns by cohort to identify trends in user behavior, feature adoption, and long-term engagement. Combine quantitative insights with qualitative research recommendations.

## How It Works

### Step 1: Read and Validate Your Data
- Accept CSV, Excel, or JSON data files with user cohort information
- Verify data structure: cohort identifier, time periods, engagement metrics
- Check for missing values and data quality issues
- Summarize key statistics (cohort sizes, date ranges, metrics available)

### Step 2: Generate Quantitative Analysis
- Calculate cohort retention rates and engagement trends
- Identify retention curves, drop-off patterns, and anomalies
- Compute feature adoption rates across cohorts
- Calculate month-over-month or period-over-period changes
- Generate Python analysis scripts using pandas and numpy if requested

### Step 3: Create Visualizations
- Generate retention heatmaps (cohorts vs. time periods)
- Create line charts showing cohort progression
- Build comparison charts for feature adoption
- Visualize drop-off points and engagement trends
…

Read the whole file at its exact version.

How to install

mdr add akillness/jeo-skills/cohort-analysis@sha256:bd721a429e58c71a

[![mdr](https://markdownregistry.com/badge/art_cr6xxov6w33pads5.svg)](https://markdownregistry.com/a/art_cr6xxov6w33pads5)

Versions

The registry has recorded 1 version of this file, committed on Sep 19, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_cr6xxov6w33pads5
GET https://markdownregistry.com/api/v1/resolve?ref=akillness/jeo-skills/cohort-analysis
GET https://markdownregistry.com/api/v1/blob/bd721a429e58c71a1a488ac1e89ba2bcbb9e179cb9c0b5eac44a3c3b3e9fdb15

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.

More from akillness/jeo-skills

Every file in akillness/jeo-skills

Other files named cohort-analysis

Browse by kind, by grade A, or by owner.