Individual skill
Cohort Analysis
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
skills/cohort-analysis/SKILL.md
Source commit 3f5182cfd739fc113f4af5244a1cf342ad7f7911
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 381
- Repository last updated
- Mar 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 9,795 bytesSKILL.mdcore · 9,795 bytesscripts/scaffold-analysis.shruns · 394 bytestemplates/notebook-template.pyruns · 360 bytes
Read excerpt
# Cohort Analysis
## Overview
Cohort analysis tracks groups of users with shared characteristics over time, revealing patterns in retention, engagement, and lifetime value.
## When to Use
- Measuring user retention rates and identifying when users churn
- Analyzing customer lifetime value (LTV) and payback periods
- Comparing performance across different user acquisition channels or campaigns
- Understanding how product changes affect different user groups over time
- Tracking engagement patterns and identifying early warning signs of churn
- Evaluating the long-term impact of onboarding improvements or feature releases