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AI Blocks › Grow on social

Turn one long video into a tighter cut, chapters and five shorts

Give it a raw recording transcript. Get a cut list, chapters and five shorts with new first lines.

Cut, chapter and clip a long video into five shorts is a free AI workflow for the job "Grow on social". It guides your AI through several skills in order, passing each step's output to the next.

Free · No account · Made by AI Blocks · Level: beginner

What it does

A long talking video costs hours twice. First you cut the pauses, the "um" lines and the takes you started again. Then you hunt through the finished video for chapters and for moments worth posting as shorts. Most people skip both, so the video drags and the best minute is never seen on its own. The steps remove that work. First it reads the transcript of your raw recording and lists each cut with its time. You make the cuts and upload the new version. Then it reads the transcript of that final video, so the times match. It writes chapters that follow YouTube's rules and picks five moments that make sense without the rest, each with a new first line.

You give it

You get

Use it when

Steps

  1. Dead air and retake cutter: Give it your recording transcript. Get a timed list of pauses, fillers and retakes to cut.
  2. YouTube transcript and channel reader: Give it a video or channel. Get transcripts, video lists and new uploads. Collects data from websites.
  3. YouTube chapter writer: Give it your video transcript. Get a chapter list that follows YouTube's rules and shows up on the video.
  4. Shorts clip finder: Give it a long video transcript. Get the best five moments to clip, each with a new first line.

How to use it

  1. Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
  2. Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
  3. Paste the transcript of your raw recording. Apply the cut list in your editor, then upload the new version.
  4. Give it the link to the uploaded video, or paste its captions. It picks up from there.

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