yt-retention
Skill3 starsChanged 35 days agoMITView on GitHub
Read a YouTube Studio audience-retention CSV: hook leak, cliffs, slide, and the one change to make. For 'why do people stop watching', pacing.
5 other projects use a version of this, 4 of them edited.
Adopted by
Most recently taken up by
- utillayer/youtube-agent-skilledited, first seen Nov 8, 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★ 4783% same
- utillayer/youtube-agent-skill★ 1018% same
- nessalazne/youtube-agent-skill★ 563% same
- swayamdhawan/youtube-agent★ 083% 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 repository50 other files it gives its agents.
- automationsSkill
- commentsSkill
- hooksSkill
- ig-auditSkill
- ig-captionSkill
- ig-carouselSkill
- ig-dmSkill
- ig-humanSkill
- ig-profileSkill
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- linkedin-content-plannerSkill
- linkedin-employee-advocacySkill
- linkedin-engager-analyticsSkill
- linkedin-hook-extractorSkill
- linkedin-humanizerSkill
- linkedin-interviewerSkill
- linkedin-post-writerSkill
- linkedin-profile-optimizerSkill
- linkedin-reply-handlerSkill
- linkedin-repurposerSkill
- linkedin-thread-monitorSkill
- naver-ai-citeSkill
- naver-draftsSkill
- naver-engageSkill
- naver-keywordsSkill
- naver-postSkill
- performance-reviewSkill
- publishSkill
- repurposeSkill
- schedule-weekSkill
- setupSkill
- threadsSkill
- troubleshootSkill
- voice-profileSkill
- yt-auditSkill
- yt-benchmarkSkill
- yt-chaptersSkill
- yt-commentSkill
- yt-editSkill
- yt-packageSkill
- yt-planSkill
- yt-scriptSkill
- yt-seoSkill
- yt-shortsSkill
- yt-uploadSkill
- yt-viralSkill
The file
Files
Adapted from Jakeschincariol/youtube-agent-skill (MIT). Not affiliated with the original author.
yt-retention
The retention graph is the only honest feedback YouTube gives you. Almost nobody exports it. Use it for "why do people stop watching", "my retention is bad", a pasted retention chart or CSV, or "fix my pacing".
From this skill's folder:
python3 scripts/retention.py retention.csv --duration 600
python3 scripts/retention.py retention.csv --transcript transcript.srtGetting the file: Studio -> a video -> Analytics -> Engagement -> the audience-retention chart -> the download icon -> "Audience retention".
Without a shell (claude.ai, ChatGPT) the script cannot run: read the pasted numbers for the same three problems by hand and say the figures were not computed.
With Uplika connected
Studio CSV only, Uplika has no retention curve. Its metrics for a video are views, likes and comments, not where people left, so the input stays the export above. The transcript for --transcript is the same one yt-edit uses; when a shell is available and the video is on YouTube, this saves YouTube's automatic captions (use the video's language code):
yt-dlp --skip-download --write-auto-subs --sub-langs ko --convert-subs srt "<video link>"A Korean transcript works as it is: the tool only prints what was being said at each drop.
Without Uplika
The same: the person exports the CSV from Studio and, for --transcript, gives you the transcript.
Three different problems
- HOOK LEAK: what is lost in the first 30 seconds. Under 25% is healthy. This is always the first thing to fix and it is always the first fifteen seconds of script, never the edit.
- CLIFFS: single steep drops. A cliff is a moment: a topic change with no signposting, a sponsor read, a long setup. With
--transcriptthe tool prints what was being said there, which is what makes the report actionable instead of interesting. - SLIDE: the steady bleed across the middle. A flat slide is pacing. The fix is cutting, not rewriting.
What to hand back
Name the single biggest leak and one change for it. Not a list of five. Then, only if asked, the rest. And if the hook leak is healthy and the slide is flat, say the video is fine and the problem is packaging: send them to yt-package.
The gate
Nothing here publishes. This skill writes and the person publishes. Every output ends in a block they copy, and the last line of every run is the question: ship it, or change it?
Tools
None. Uplika has no retention data; this skill runs scripts/retention.py on the person's Studio export.
Does it work?
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