Analyze a YouTube Studio audience-retention export to locate the largest viewer drop and suggest one focused change. The report distinguishes early hook losses, sharp drops, and a gradual middle decline, and can connect drops to transcript text.
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Read a YouTube Studio audience-retention export and find where viewers actually leave, then say what to change. Use for "why do people stop watching", "my retention is bad", a pasted retention chart or CSV, or "fix my pacing".
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
The retention graph is the only honest feedback YouTube gives you. Almost nobody exports it.
python3 retention.py retention.csv --duration 600
python3 retention.py retention.csv --transcript transcript.srt
Getting the file: Studio -> a video -> Analytics -> Engagement -> the audience-retention chart -> the download icon -> "Audience retention".
--transcript the tool prints what was being said there, which
is what makes the report actionable instead of interesting.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.
Nothing here publishes. This skill writes and you publish. Every output ends in a block the user copies, and the last line of every run is the question: ship it, or change it?
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Review a YouTube channel’s recent titles, thumbnails, video openings, upload consistency, and available retention data. Get one priority fix for this week, along with specific strengths to preserve and actions to postpone.
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Create YouTube chapter timestamps from an SRT transcript and check the list against YouTube’s display rules: it must start at 00:00, contain at least three chapters, and give each chapter at least ten seconds. The generated topic titles are drafts to rewrite.
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Sort YouTube comments into questions, corrections, praise, and bait, then draft brief replies in the creator’s voice where appropriate. It also recommends one comment to pin and explains why, while avoiding unsupported claims and replies to bait.
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Turn a timestamped transcript into a list of suggested cuts for long pauses, filler phrases, and restarted sentences. The output includes timecodes for reviewing against the footage; it does not edit the media, so you apply the cuts yourself.
中文简介正在准备中。当前显示英语简介。
Develop YouTube titles and thumbnail text as one pairing. Check candidate titles for length, truncation, repetition, and vagueness, then get ranked options and a thumbnail brief for the selected title, including framing and contrast guidance.
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Build a realistic weekly or monthly YouTube upload plan around available hours and work already in progress. Get a schedule with formats, working titles, promises, existing materials, estimated time, and what to drop if plans change.
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