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cohort-analysisby Pawel HurynDataGitHub stars: 27.4k

Cohort Analysis skill: what it does and how to install it

Analyses cohort data with pandas and numpy to reveal retention curves, feature adoption trends and segment-level engagement patterns.

Summary generated from the skill's documentation.

Install

$ npx skills add phuryn/pm-skills --skill cohort-analysis

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Reads CSV, Excel, JSON or SQL results, checks cohort fields and data quality, then calculates retention, engagement, adoption and period-over-period changes. Produces heatmaps, progression charts, pattern findings, reusable pandas and numpy scripts on request, and follow-up research recommendations.

When to use it. For comparing user cohorts over time, investigating churn or feature adoption, and finding drop-offs, anomalies or seasonal trends. It works best with a clear cohort definition and multiple time periods.

History

Repo stars

27.4k+670 since 1 Oct 2026

Stars are counted for the whole repository, which holds 64 skills.

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DateRepo stars
26 Oct 202627,385
25 Oct 202627,358
24 Oct 202627,335
23 Oct 202627,321
22 Oct 202627,293
21 Oct 202627,257
20 Oct 202627,243
19 Oct 202627,201
18 Oct 202627,156
17 Oct 202627,131
16 Oct 202627,108
15 Oct 202627,069
14 Oct 202626,995
13 Oct 202626,953
12 Oct 202626,914
11 Oct 202626,880
10 Oct 202626,866
9 Oct 202626,852
8 Oct 202626,833
7 Oct 202626,815
6 Oct 202626,807
5 Oct 202626,778
4 Oct 202626,757
3 Oct 202626,736
2 Oct 202626,728
1 Oct 202626,715

Installs

2.9k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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