cohort-analyzer
Analyzes revenue cohorts, retention curves, LTV/CAC trends over time
npx skills add a5c-ai/babysitter --skill cohort-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cohort Analyzer ## Overview The Cohort Analyzer skill provides systematic analysis of customer and revenue cohorts to understand retention patterns, lifetime value trends, and business health over time. It enables deep understanding of unit economics evolution and customer quality. ## Capabilities ### Revenue Cohort Analysis - Track revenue by acquisition cohort - Analyze net revenue retention (NRR) by cohort - Measure expansion, contraction, and churn - Identify cohort quality trends over time ### Retention Curve Analysis - Build and visualize retention curves - Compare retention across cohorts - Calculate retention benchmarks by segment - Identify retention inflection points ### LTV/CAC Analysis - Calculate LTV by cohort and segment - Track CAC trends over time - Analyze LTV/CAC ratio evolution - Model payback period by cohort ### Segment Analysis - Segment cohorts by customer type - Analyze channel-specific cohort quality - Compare enterprise vs. SMB retention - Identify highest-value customer segments ## Usage ### Analyze Revenue Cohorts ``` Input: Revenue data by customer and month Process: Build cohort matrix, calculate retention Output: Cohort analysis, NRR by cohort, visu
- Overview
- Capabilities
- Revenue Cohort Analysis
- Retention Curve Analysis
- LTV/CAC Analysis
- Segment Analysis
- Usage
- Analyze Revenue Cohorts
- Build Retention Curves
- Calculate Unit Economics
- Identify Cohort Trends
- Key Metrics
- Integration Points
- Visualization Outputs
What does the cohort-analyzer skill do?
Analyzes revenue cohorts, retention curves, LTV/CAC trends over time
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cohort-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.