retention-analysis
Cohort analysis and retention optimization framework. Identifies retention drivers and churn factors.
npx skills add majiayu000/claude-skill-registry --skill retention-analysis-timothynguyen04-pmos --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.
# Retention Analysis: Measuring What Keeps Users Coming Back ## Quick Start ``` /retention-analysis ``` Then provide: 1. **Retention data** (D1, D7, D14, D30 rates -- or I'll query your analytics MCP) 2. **Product usage frequency** (daily, weekly, monthly -- how often should users return?) 3. **Known churn reasons** (if any -- from interviews, support tickets, surveys) I'll analyze your retention curve shape, identify the biggest drop-off, compare retained vs churned user behavior, and recommend interventions. **Output:** Saved to `outputs/analyses/retention-analysis-[date].md` **Time:** ~15 min with data, ~25 min with cohort deep-dive **When to use:** When diagnosing churn problems, measuring product-market fit, or optimizing for stickiness **Framework source:** Aakash Gupta's retention frameworks and "Ultimate Guide to Activation" ## Context Routing Logic (Internal - for Claude) **Automatic Context Checks:** When this skill is invoked, immediately check: | Source | Files/Folders | Search Terms | What to Extract | |--------|---------------|--------------|-----------------| | Metrics/Analytics | `context-library/metrics/*.md` | D7, D30, retention, churn, cohort, "monthly active", D
- Quick Start
- Context Routing Logic (Internal - for Claude)
- Step 0: Understanding Your Current Retention Reality
- Internal Intelligence Summary
- Gaps in Knowledge
- Step 1: Retention Diagnostic Questions
- Question 1: The Biggest Drop
- Question 2: Retained vs Churned Behavior
- Question 3: Churn Reasons
- Question 4: Usage Pattern
- Question 5: Segment Differences
- Key Retention Metrics
- Day 7 (D7) Retention
- Day 30 (D30) Retention
What does the retention-analysis skill do?
Cohort analysis and retention optimization framework. Identifies retention drivers and churn factors.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill retention-analysis-timothynguyen04-pmos --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 majiayu000/claude-skill-registry, a repository with 534 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.