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JakeschincariolJakeschincariol/youtube-agent-skill/skills/yt-edit/SKILL.md

yt-edit

Skill47 starsChanged 58 days agoMITView on GitHub

Turn a raw recording's transcript into an edit decision list - dead air, filler cues and retakes, with timecodes. Use for "edit this", "cut the dead space", "tighten this video", "I rambled", or any request to shorten footage from a transcript.

5 other projects use a version of this, 4 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    No transcript yet? Ask for one, or produce one first - whisper, faster-whisper, or the caption track YouTube generates on an unlisted …

    line 19

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

yt-edit

An edit decision list from a timestamped transcript. It prints the cuts. You apply them.

python3 deadair.py transcript.srt              # srt, vtt or whisper json
python3 deadair.py transcript.srt --floor 0.35 --json

No transcript yet? Ask for one, or produce one first - whisper, faster-whisper, or the caption track YouTube generates on an unlisted upload all work. Do not guess at timings.

What it finds

  • DEAD - gaps longer than the floor, trimmed from the MIDDLE so both sides keep a breath. Cutting flush against speech is what makes a tightened take sound gasping.
  • FILLER - cues that are nothing but "um", "so yeah", "basically".
  • REPEAT - a sentence restarted. Compared against the last cue that was actually speech, not the literal previous cue, because most retakes have an "um" between the two attempts.

What it will not do

It does not touch media. It has no opinion about your B-roll. A 40% cut on the report is a 40% cut of SPEECH, and if the video has a long silent demo in it that number is wrong - check the report against the footage before you trust the runtime at the bottom.

The gate

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?

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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