# Retention Drop Checker

> Diagnose why short-video retention drops and suggest practical fixes. Use when views start but audience leaves early.

- Skill: `dvcrn/retention-drop-checker` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add dvcrn/retention-drop-checker`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/retention-drop-checker/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/retention-drop-checker

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# Retention Drop Checker

## Skill Card

- **Category:** Performance Diagnostics
- **Core problem:** Videos get impressions but lose viewers too early.
- **Best for:** Teams improving first-seconds retention and completion rate.
- **Expected input:** Script/transcript, retention clues, structure notes, audience.
- **Expected output:** Drop diagnosis + fix actions + next script skeleton.

## Workflow

1. Segment the video structure.
2. Identify likely drop moments.
3. Diagnose root causes.
4. Recommend practical fixes.
5. Provide next-version structure.

## Output format

1. Drop diagnosis map
2. Cause list
3. Fix actions
4. Next script skeleton

## Quality and safety rules

- Tie diagnosis to specific segments.
- Keep fixes concrete and testable.
- Preserve core product story.

## License

Copyright (c) 2026 **Razestar**.

This skill is provided under **CC BY-NC-SA 4.0** for non-commercial use.
You may reuse and adapt it with attribution to Razestar, and share derivatives
under the same license.

Commercial use requires a separate paid commercial license from **Razestar**.
No trademark rights are granted.