How do I install the Cohort Analysis skill?

Run npx skillmds@latest add nandanosql/cohort-analysis in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Cohort Analysis safe to use?

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Which AI agents work with Cohort Analysis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Cohort Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Cohort Analysis?

nandanosql (@nandanosql) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Cohort Analysis by nandanosql — Agent Skill

Name: Cohort Analysis
Author: nandanosql

File contents

Purpose

Understand how user behavior changes over time by grouping users into cohorts and tracking their metrics over comparable time periods. Reveals trends that aggregate data hides.

Application

Cohort Types

Type	Groups Users By	Reveals
Signup cohort	When they joined (week/month)	Is retention improving?
Behavioral cohort	What they did (activated, invited, etc.)	Which actions predict retention?
Acquisition cohort	How they found you (channel)	Which channels bring quality users?
Feature cohort	Which features they use	Does feature X drive retention?

Template

# Cohort Analysis: [Type] — [Product Name]

## Cohort Definition
- **Cohort type:** [Signup / Behavioral / Acquisition / Feature]
- **Grouping criterion:** [Specific definition]
- **Time period:** [Date range]
- **Metric tracked:** [Retention / Revenue / Engagement / etc.]

## Cohort Table
| Cohort | N | Week 1 | Week 2 | Week 4 | Week 8 | Week 12 |
|--------|---|--------|--------|--------|--------|---------|
| [Jan W1] | [#] | [%] | [%] | [%] | [%] | [%] |
| [Jan W2] | [#] | [%] | [%] | [%] | [%] | [%] |
| [Feb W1] | [#] | [%] | [%] | [%] | [%] | [%] |

## Key Findings
1. **Trend:** [Are newer cohorts performing better/worse?]
2. **Critical period:** [When does the sharpest drop-off occur?]
3. **Flattening point:** [When does retention stabilize?]
4. **Anomalies:** [Any cohorts that significantly outperform/underperform?]

## Actions
- [Action based on finding 1]
- [Action based on finding 2]

Quality Rubric

Dimension	0	1	2
Cohort Definition	Unclear grouping	Time-based only	Multiple cohort types compared
Time Span	< 4 weeks	1-3 months	3+ months for trend detection
Sample Size	Too small (<50/cohort)	Adequate	Statistically significant
Insights	Data only	Observations	Observations + actions

References

Related Skills

skills/growth/retention-deep-dive/SKILL.md — Retention analysis
skills/analytics/funnel-analysis/SKILL.md — Funnel by cohort
skills/growth/activation-optimization/SKILL.md — Behavioral cohort for activation

Skill type: Component Domain: Analytics & Metrics

---name: cohort-analysisdescription: Build cohort-based analyses to understand how user behavior changes over time. Covers signup cohorts, behavioral cohorts, acquisition cohorts, and retention curves.---## PurposeUnderstand how **user behavior changes over time** by grouping users into cohorts and tracking their metrics over comparable time periods. Reveals trends that aggregate data hides.---## Application### Cohort Types| Type | Groups Users By | Reveals ||------|----------------|---------|| **Signup cohort** | When they joined (week/month) | Is retention improving? || **Behavioral cohort** | What they did (activated, invited, etc.) | Which actions predict retention? || **Acquisition cohort** | How they found you (channel) | Which channels bring quality users? || **Feature cohort** | Which features they use | Does feature X drive retention? |### Template```markdown# Cohort Analysis: [Type] — [Product Name]## Cohort Definition- **Cohort type:** [Signup / Behavioral / Acquisition / Feature]- **Grouping criterion:** [Specific definition]- **Time period:** [Date range]- **Metric tracked:** [Retention / Revenue / Engagement / etc.]## Cohort Table| Cohort | N | Week 1 | Week 2 | Week 4 | Week 8 | Week 12 ||--------|---|--------|--------|--------|--------|---------|| [Jan W1] | [#] | [%] | [%] | [%] | [%] | [%] || [Jan W2] | [#] | [%] | [%] | [%] | [%] | [%] || [Feb W1] | [#] | [%] | [%] | [%] | [%] | [%] |## Key Findings1. **Trend:** [Are newer cohorts performing better/worse?]2. **Critical period:** [When does the sharpest drop-off occur?]3. **Flattening point:** [When does retention stabilize?]4. **Anomalies:** [Any cohorts that significantly outperform/underperform?]## Actions- [Action based on finding 1]- [Action based on finding 2]```---## Quality Rubric| Dimension | 0 | 1 | 2 ||-----------|---|---|---|| **Cohort Definition** | Unclear grouping | Time-based only | Multiple cohort types compared || **Time Span** | < 4 weeks | 1-3 months | 3+ months for trend detection || **Sample Size** | Too small (<50/cohort) | Adequate | Statistically significant || **Insights** | Data only | Observations | Observations + actions |---## References### Related Skills- `skills/growth/retention-deep-dive/SKILL.md` — Retention analysis- `skills/analytics/funnel-analysis/SKILL.md` — Funnel by cohort- `skills/growth/activation-optimization/SKILL.md` — Behavioral cohort for activation---**Skill type:** Component**Domain:** Analytics & Metrics

Frequently asked questions

Cohort Analysis