Cohort Analysis

Community

guia-matthieu

cohort-analysis

Analyze user retention by cohort. Use when: measuring customer retention; understanding lifecycle patterns; comparing acquisition cohorts; tracking engagement over time; identifying churn risks

Overview

Publisher	guia-matthieu
Repository	`clawfu-skills`
Skill name	`cohort-analysis`
Stars	150
Forks	27
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by guia-matthieu on GitHub. Read the source before you install it.

Installation

Install the Cohort Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/cohort-analysis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git /tmp/clawfu-skills
mkdir -p .claude/skills
cp -r /tmp/clawfu-skills/skills/analytics/cohort-analysis .claude/skills/cohort-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cohort Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cohort Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cohort Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cohort Analysis

Analyze retention and behavior patterns by grouping users into cohorts - understand how different customer groups behave over time.

When to Use This Skill

Retention tracking - Measure how users stick around over time
Acquisition analysis - Compare cohorts from different channels
Product changes - Measure impact on user behavior
Churn prediction - Identify at-risk cohorts
LTV estimation - Project customer lifetime value

What Claude Does vs What You Decide

Claude Does	You Decide
Structures analysis frameworks	Metric definitions
Identifies patterns in data	Business interpretation
Creates visualization templates	Dashboard design
Suggests optimization areas	Action priorities
Calculates statistical measures	Decision thresholds

Dependencies

bash
pip install pandas plotly click

Commands

Retention Analysis

bash
python scripts/main.py retention data.csv --date-col signup --event-col purchase
python scripts/main.py retention data.csv --date-col signup --periods week

Visualize Cohorts

bash
python scripts/main.py visualize cohorts.csv --output retention_chart.html

Export Report

bash
python scripts/main.py report data.csv --date-col signup --event-col active --output report.html

Examples

Example 1: Analyze User Retention

bash
python scripts/main.py retention users.csv --date-col signup_date --event-col last_active

# Output:
# Cohort Retention Analysis
# ──────────────────────────────────
# Cohort     Users    M1     M2     M3     M4
# Jan 2024   1,234    65%    48%    42%    38%
# Feb 2024   1,456    62%    45%    41%    --
# Mar 2024   1,321    68%    52%    --     --
# Apr 2024   1,567    64%    --     --     --
#
# Avg Retention: 65% → 48% → 42% → 38%
# Best Cohort: Mar 2024 (68% M1)

Example 2: Generate Visual Report

bash
python scripts/main.py report transactions.csv \
  --date-col signup \
  --event-col purchase_date \
  --output retention_report.html

# Generates interactive HTML with:
# - Retention heatmap
# - Cohort size chart
# - Trend analysis

Cohort Table Format

Cohort	Size	Period 0	Period 1	Period 2	Period 3
2024-01	1234	100%	65%	48%	42%
2024-02	1456	100%	62%	45%	-
2024-03	1321	100%	68%	-	-

Skill Boundaries

What This Skill Does Well

Structuring data analysis
Identifying patterns and trends
Creating visualization frameworks
Calculating statistical measures

What This Skill Cannot Do

Access your actual data
Replace statistical expertise
Make business decisions
Guarantee prediction accuracy

Related Skills

ab-test-stats - Test retention experiments
funnel-analyzer - Analyze conversion funnels

Skill Metadata

Mode: centaur

yaml
category: analytics
subcategory: retention
dependencies: [pandas, plotly]
difficulty: intermediate
time_saved: 4+ hours/week

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/main.py10 KB
scripts/requirements.txt1 KB

Frequently asked questions

What does the Cohort Analysis AI skill do?

Analyze user retention by cohort. Use when: measuring customer retention; understanding lifecycle patterns; comparing acquisition cohorts; tracking engagement over time; identifying churn risks

Why use Cohort Analysis on TypingMind?

Because you install it once and use it with any model. Cohort Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cohort Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/analytics/cohort-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cohort Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cohort Analysis?

As many as you like. As long as a model supports skills, you can use Cohort Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cohort Analysis AI skill free?

Yes. It is published on GitHub by guia-matthieu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Cohort Analysis

When to Use This Skill

What Claude Does vs What You Decide

Dependencies

Commands

Retention Analysis

Visualize Cohorts

Export Report

Examples

Example 1: Analyze User Retention

Example 2: Generate Visual Report

Cohort Table Format

Skill Boundaries

What This Skill Does Well

What This Skill Cannot Do

Related Skills

Skill Metadata

Bundled files

Frequently asked questions

Related AI Skills

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