yt-retention
Skill10 starsChanged 29 days agoMITView on GitHub
Read a YouTube Studio audience-retention export, find the moments viewers leave, and name the one change to make. Use for "why do people stop watching", "my retention is bad", a retention chart or CSV, or "fix my pacing".
5 other projects use a version of this, 4 of them edited.
Adopted by
Most recently taken up by
- uplika/uplika-pluginedited, first seen Oct 25, 2026
- swayamdhawan/youtube-agentedited, first seen Oct 15, 2026
- ahmedsakri/youtube-agent-protheir own version, first seen Oct 15, 2026
- nessalazne/youtube-agent-skilledited, first seen Sep 23, 2026
- Jakeschincariol/youtube-agent-skilledited, first seen Sep 16, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 4
- Jakeschincariol/youtube-agent-skill★ 4726% same
- nessalazne/youtube-agent-skill★ 521% same
- uplika/uplika-plugin★ 315% same
- swayamdhawan/youtube-agent★ 026% same
Wrote their own version · 1
- ahmedsakri/youtube-agent-pro★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- yt-auditSkill
- yt-chaptersSkill
- yt-commentSkill
- yt-editSkill
- yt-packageSkill
- yt-planSkill
- yt-researchSkill
- yt-scriptSkill
- yt-seoSkill
- yt-shortsSkill
- yt-viralSkill
The file
Files
yt-retention
The retention graph is the most honest feedback a video gets, and most creators never download it.
python3 ${CLAUDE_SKILL_DIR}/retention.py retention.csv --duration 600
python3 ${CLAUDE_SKILL_DIR}/retention.py retention.csv --duration 600 --transcript transcript.srtThe tools live in this skill's folder. ${CLAUDE_SKILL_DIR} is that folder in Claude Code; anywhere
it does not expand (claude.ai, Codex), use the folder this SKILL.md was loaded from.
The transcript reader is ../yt-edit/deadair.py, so install the two together.
Getting the file: Studio → the video → Analytics → Engagement → the audience-retention chart → the download icon → "Audience retention".
What it reads: two columns - a position and the share still watching. The position can be
seconds, m:ss, a percent of the video, or a 0-1 ratio as the Analytics API gives it. The header
decides when it names the unit; otherwise anything up to 100 is read as percent. If the position
is a percent, always pass --duration (the length in seconds) - without it the drops have no
timestamps and the transcript cannot tell you what was being said. Ask for the length; do not guess.
Three different problems
- The opening loss: what goes in the first 30 seconds. Under 25% is healthy. When it is the problem, the fix is always the first fifteen seconds of script, not the edit.
- Cliffs: single steep drops, a specific moment - a topic change with no signal, a sponsor segment, a long setup. With the transcript, the tool prints what was said there, which is what makes the report useful instead of merely interesting.
- The slide: the steady loss across the middle. That is pacing, and the fix is cutting, not rewriting.
What to hand back
The biggest problem and one change for it - not five. More only if asked. If the opening is healthy
and the slide is flat, say the video is fine and the issue is packaging, and point to /yt-package.
Before you hand it over
This skill drafts; you publish. End with the copy-ready block and one question: post it as is, or another pass?
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