All skills
jakeschincariol avatar

/yt-edit

@a2feb21
by Jake Schincarioljakeschincariol/youtube-agent-skill707 stars
179

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.

Use this Skill: https://skilld.dev/gh/jakeschincariol/youtube-agent-skill/yt-edit

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

SKILL.md

≈63 tokens for metadata: the name and description. ≈337 when used: this file.

Description uses 3.2% of example budget

Before choosing a Skill, your Agent reads its name and description. All available Skills share that space.

  • A shorter description leaves more room for other Skills. This entry exceeds our 1% size suggestion.

In our Claude Code example, all Skill names and descriptions share 8,000 characters. This Skill uses ≈254 characters, or 3.2%.

The 1% threshold is a size suggestion. Longer descriptions can still fit.

Your model, settings, and other Skills decide how much text your Agent can read.

Example settings and source

The example uses a 200k-token context and default Claude Code settings. The count includes the name, description, separators, and when_to_use when present. Codex also counts local file paths.

Skit's source and limits: Codex 0.160.1, Claude Code 2.1.292.

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?

Source: SKILL.md on GitHub

Skill behaviors

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

Third-party checks

No alerts19d3 checks · Risk SAFE
  • Gen Agent Trust Hub19d

    The skill is a local utility for generating edit decision lists from transcripts. It uses standard Python libraries, performs no network activity, and includes safety measures like input parsing and text truncation.

  • Socket19d

    No alerts

  • Snyk19d

    Risk: LOW · No issues

Provenance

Signed by skilld at a2feb21. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 44 minutes ago.

Activeupdated 3 weeks ago

README badge

README badge for jakeschincariol/youtube-agent-skill/yt-edit