📊
Data

Cohort Analysis

by phuryn

Cohort Analysis is a Data skill for Claude Code, published by phuryn in pm-skills.

25.2K stars2.7K forkson phuryn/pm-skillsAdded 2026/08/14Repository updated 2026/07/03
View source on GitHubDownload repo ZIP
agent-skill-repositoryagent-skillsagentic-skillsclaude-code-marketplaceclaude-code-pluginsclaude-cowork-pluginproduct-management
Install in seconds
Install Cohort Analysis
Copy Cohort Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/cohort-analysis ~/.claude/skills/cohort-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/phuryn/pm-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
pm-data-analytics/skills/cohort-analysis/SKILL.md in phuryn/pm-skills
Installs to
~/.claude/skills/cohort-analysis
Collection
One of 25 skills cataloged from this repository
Category
Data — 668 skills

What Cohort Analysis does

Cohort Analysis helps analyze user engagement and retention patterns by cohort to identify trends in user behavior, feature adoption, and long-term engagement. Use it when studying retention curves, feature adoption over time, churn patterns, or engagement trends.

Cohort Analysis is cataloged under Data on DirSkills. Cohort Analysis comes from a repository tagged agent-skill-repository, agent-skills, agentic-skills, claude-code-marketplace and claude-code-plugins.

Documentation

README

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)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Cohort Analysis

  • What else does phuryn publish alongside Cohort Analysis?

    Cohort Analysis is one of 25 skills that DirSkills catalogs from phuryn/pm-skills, the repository it ships in. Its siblings there include A/B Test Analysis, Beachhead Segment and Brainstorm Team OKRs. Each one is a separate skill with its own page in this directory, installs the same way Cohort Analysis does, and is maintained by phuryn in that same repository. The rest of the collection is listed on the phuryn/pm-skills page.

  • How does Cohort Analysis compare to other Data skills?

    Cohort Analysis ranks #70 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Cohort Analysis against them. Open each page to compare what they document and how they install.

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