# Retention Drop Diagnoser

> Identifies root causes behind declining user retention with likely causes, supporting evidence, and fix experiments. Use when you observe a retention drop and need to systematically diagnose why users are leaving.

- Skill: `pratikshadake/retention-drop-diagnoser` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add pratikshadake/retention-drop-diagnoser`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pratikshadake/retention-drop-diagnoser/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: pratikshadake (https://skillmd.com/u/pratikshadake)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/pratikshadake/retention-drop-diagnoser

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# Retention Drop Diagnoser

## Purpose
Identify root causes behind declining user retention.

## Output

### Retention Pattern
### Likely Causes
### Supporting Evidence
### Fix Experiments

## References
See [worked example](references/example.md) for a complete scenario.