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cut

cut

github.com/nextwork-projectsCreative & media13427 installsUpdated 1d ago
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About cut

A video-editing skill that transcribes footage, identifies candidate cuts, builds and verifies a cut, then presents it for approval. It is intended for users who need an editable cut before styling or a combined cut-and-style workflow.

Key features

  1. 01Transcribes video footage
  2. 02Finds candidate retakes and fillers
  3. 03Builds a timeline from quoted spans
  4. 04Verifies the rendered cut
  5. 05Presents cut for review

Use cases

  1. 01Removing retakes and false starts
  2. 02Checking a cut against a script
  3. 03Reviewing a cut before styling

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nextwork-projects/ai-video-editor-cooked --skill cut

After installing, type/cutin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
editorial-rules.md
judge-rubric.md
judge.md
retake-detection.md
script.md
shapes.md
takes.md
scripts/
build_timeline.py
hook_check.py
join.py
judge_cut.py
mirror.py
preview_cut.py
read_cut.py
render.py
retakes.py
script_match.py
splice_check.py
test_build_timeline.py
test_media.py
test_retakes.py
textnorm.py
transcribe.py
trend.py
verify_cut.py
scripts/testdata/
sample-whisper.json

Details

From the project README

Cut

Paths: ${CLAUDE_SKILL_DIR} means the folder containing this SKILL.md, and ${CLAUDE_PLUGIN_ROOT} the plugin folder two levels above it.

Read ${CLAUDE_PLUGIN_ROOT}/PRINCIPLES.md first: the rules every video in this plugin follows.

Every question goes in the question box: the AskUserQuestion tool (2-4 options, recommended first). Only in an agent without it, ask numbered questions in text.

edits/<name>/  transcript.txt (read this, never words.raw.json), spans.json (what to remove, quoted),
  candidates.md (what code flagged), paper-edit.md (the cut as text), cut-check.html (the
  transcript), review.json (notes), cut.mp4 + words.json (the render and its words).

<name> is a slug of the file name (IMG_1234.MOV -> img-1234), in the library (PRINCIPLES.md "Where"). Never modify, move or copy the source file: pass its path.

PY="${CLAUDE_PLUGIN_ROOT}/lib/ai_editor/run.py"; python3 "$PY" runs the tool venv. On Windows, use py wherever these commands say python3. No venv yet: run the setup skill first. S="${CLAUDE_SKILL_DIR}/scripts".

No video yet?

Ask for their take's path. Several files: references/takes.md. None: offer the sample take (raw, vertical, retakes, false starts and pauses kept) and download it to their folder:

curl -L -o sample-take.mp4 https://github.com/nextwork-projects/ai-video-editor-cooked/releases/download/sample-video/sample-take.mp4

0. Ask: the cut first, or everything at once

Before anything else, ask one question in the question box (start decides this for a whole edit):

Do you want just the cut first, or the cut and the styled edit in one go?

  • Just the cut first (Recommended). You approve the cut before I add captions, zooms or visuals, so a changed cut never rebuilds the visuals (fewer tokens).
  • Everything at once. I cut, then style without waiting. You still see the cut page and the stills sheet before anything renders.

Skip it only when the user already answered ("just cut it", "cut and style it in one go") or start or clips called this skill. Just the cut first: steps 1-6, then stop until the user approves the cut and asks for the style. Everything at once: steps 1-5, open the cut page, go straight on to style-edit; a later cut change re-runs style-edit from its plan step.

0b. Read the user's taste

python3 "${CLAUDE_PLUGIN_ROOT}/skills/taste/scripts/taste.py" show --edit edits/<name>

Follow every rule in it. Save a reaction to a result ("too slow") with the taste skill before redoing.

1. Transcribe

python3 "$PY" "$S/transcribe.py" <source> edits/<name>/words.raw.json [--script <their script>]

A script (or --keyterm Name, repeatable) gets names and jargon right (+20% on Scribe).

Say the time first: Whisper 1-4 min for a 3-min take, CrisperWhisper about the take's length. It picks Scribe when a key is saved, else CrisperWhisper if installed, else the free local Whisper (--engine whisper|crisper|scribe overrides), which drops some ums and false starts. With neither, say once that setup can add one (CrisperWhisper's weights are non-commercial only). Never download a model mid-edit: a re-check needing one not installed (exit 4) is skipped and said in the round's note.

Never read words.raw.json: step 2 writes transcript.txt, 1/12 the size.

2. Decide what to cut

python3 "$S/retakes.py" propose edits/<name>

Code finds every possible cut (a repeated line, an unfinished sentence, "wait, sorry", fillers) into candidates.md. Each is a place to look, not a decision. Read transcript.txt and candidates.md, follow references/retake-detection.md, and write spans.json (references/shapes.md).

With a script.md: python3 "$S/script_match.py" edits/<name>, read script-match.md (references/script.md).

Last take wins, except alternate hooks. Never type a timestamp or span a pause.

Only if the user wants it shorter (or their taste says to run the editorial pass), also read references/editorial-rules.md and add redundant cuts (content calls).

A misheard name is one command, never a JSON rewrite: python3 "$S/retakes.py" fix edits/<name> cloud=Claude jiv=Jev (whole words, kept in fixes.json for the captions).

3. Build

python3 "$S/build_timeline.py" <source> edits/<name> && python3 "$PY" "$S/mirror.py" <source> edits/<name>

Every pause (breaths too) over --max-pause (0.15 s) becomes 0.10 s; under music only word gaps are trimmed. A build ERROR writes nothing: fix that span and run it again.

mirror.py says mirrored when a book, shirt or sign reads backwards (a front-camera take): ask once, Keep it as shot (Recommended) (most creators post it that way) / Flip it so the text reads; on a flip add --flip to every render.py below.

In one message, start the spans encoding in the background (run_in_background) and the paper checks; step 4 then encodes only what changed:

python3 "$S/render.py" <source> edits/<name> --segments-only

The cut-judge agent grades paper-edit.md (a flub left in, a bad join, a good line lost) and fixes spans.json. Readers for takes over 5 min go first, the judge after: references/judge.md. Never read paper-edit.md yourself.

  • CLIPPED in paper-edit.md: a pause cut ate a word. Raise --pad. Still there: a label is off.
  • Joins inside speech move to a quiet frame. Any still in speech: listen in step 5.

4-5. Render and verify

Foreground (render.py waits for the background encode):

R="${CLAUDE_PLUGIN_ROOT}/lib/ai_editor/review.py"
python3 "$S/build_timeline.py" <source> edits/<name> && \
python3 "$S/render.py" <source> edits/<name> && \
python3 "$PY" "$S/verify_cut.py" edits/<name> --engine <same engine as step 1> && \
python3 "$S/preview_cut.py" edits/<name> --no-open && \
python3 "$R" edits/<name> start --video edits/<name>/cut.mp4 --stage cut --transcript edits/<name>/words.json

Verify clean: the cut page is ready. Verify diffs the cut's transcript with the kept words (exit 1 stops the chain):

  • MISSING: a kept word is not in the render. Raise --pad (or narrow the span), rebuild, re-render.
  • SURVIVED: a span to add for a real repeat or stumble, never one that cuts a kept line.
  • HEARD DIFFERENTLY ("jev -> jeff") and filler notes are transcriber variance: no rebuild.
  • DOUBLED: words said twice in a row. Natural ("very, very"): keep. A stumble: add its span.
  • N join(s) in speech: listen. Clipped: splice_check.py edits/<name> --fix, re-render.

One fix cycle (the same chain), then show the user what is left.

6. The user approves

The chain opened the review page (../style-edit/references/review.md). serve and wait in the background. Say the seconds cut. Notes: "keep ": narrow or delete that span; "cut ": add one; pauses off: --max-pause. Then steps 4-5, resolve each note (--reply: what changed), last round --video edits/<name>/cut.mp4 (never a second start), then ask any learn question.

After approval, one Bash call: python3 "$S/trend.py" log edits/<name> (tally: trend), the hook check. Then hook variants if hooks.json exists (references/retake-detection.md); called by start, ask that in the same question box as style-edit's stills approval, not before it.

Only approval finishes the cut; cut.mp4, words.json go to style-edit. On "just the cut first", say they can ask for the style. Never start style-edit on your own. Called by start: as the page opens, start visual-prep in the background; its motion_briefs: a background clip-builder each at once; say a motion_note once.

If a script stops

messagedo
no such file / ffmpeg could not read audioask for the right path; never copy or convert the source
faster-whisper missing / CrisperWhisper missingrun with python3 "$PY", or the setup skill's step 3
no ElevenLabs key (exit 2) / HTTP 4xx, unreachable (3)drop --engine scribe, or re-save the key with the setup skill
build ERROR on a quotefix that span's quote or add occurrence, build again
cannot derive a silence threshold / marked no silencespeech and background are under 10 dB apart: ffmpeg -i <source> -af volumedetect -vn -f null -, pass --noise about 10 dB above the mean
render ERROR ...say it; re-run render once

Rules

  1. Every cut quotes the transcript. No quote, no cut.
  2. A script breaks ties between takes and keeps every take of a line it says twice. Nothing is cut for being off-script.
  3. Never stream-copy (-c copy) across cuts: it lands up to 2 s off.
  4. Never hand over a render that has not been verified and approved.

Self-check

test_build_timeline.py, test_retakes.py, test_media.py (ffmpeg); demo on transcribe.py, trend.py, splice_check.py, script_match.py, mirror.py.

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