style-study git:20261006.ecf1c91A

Immutable. This exact content never changes and is served at /api/v1/blob/bda5527fd575ab57.

---
name: style-study
description: Learn a creator's or channel's editing style by measurement — cut pacing, shot sizes, hook, on-screen text, colour (black/white point, saturation, split-tone tint), sound design (music under voice, SFX on cuts, silences) — from reference videos, then turn the findings into a project memo, a saved BashCut look and style kit, and rules for the other skills. Use when the user shares reference videos or a channel and says "học style", "phân tích kênh", "làm giống kênh X", "dựng theo phong cách này".
---

# Study a style

Reply in the user's language.

## Sources

Work from videos the user provides or has the right to analyse. Downloading a channel (for example with
`yt-dlp`) is the user's decision: ask first, keep the files in a private folder outside any project that will
be published, and never re-upload them.

## Measure

For each reference video (10–30 is enough):

| What | How | Read it as |
|---|---|---|
| Cuts per minute, shot length | `ffmpeg -i v.mp4 -vf "select='gt(scene,0.28)',showinfo" -an -f null - 2>&1 \| grep pts_time` | food-review TikTok ≈ 30–40 cuts/min (1.4–1.8 s); cinematic vlog ≈ 12–20 (3–5 s) |
| Shot sizes, hook, text | contact sheet: `python3 <skill_dir>/../footage-survey/survey.py DIR --frames 10`, then look | what the first 3 s show; where and how text appears |
| Colour | `uv run <skill_dir>/../color-grade/grade.py measure v.mp4` | black > 3 = matte; white < 90 = rolled highlights; sat < 30 muted, > 45 punchy; shadow tint R−B < 0 with highlight R−B > 0 = teal-orange |
| Speech vs music | transcribe in BashCut or listen | music buried (−20 dB), bed (−10), present (−6), leading (> 0) |
| SFX on cuts | listen at 5–10 cuts | hits on most cuts = SFX-driven style; random = none |

Scene detection merges cuts under ~0.25 s and misses dissolves and whips: look at the frames, don't trust the
count alone. Speech recognition invents text over music: trust your ears over a transcript.

## Turn it into BashCut

1. **Project memo** (`knowledge memo`): a short table of the numbers and 5–10 rules ("hard cuts only, one
   special transition", "music 12 dB under voice", "captions small serif, lower third").
2. **Look**: start from the closest look in `bc:color-grade`, adjust its params toward the measured numbers,
   preview, import the LUT and `looks save`; then `style save ID --title T --look ID --caption-preset P` so
   `style apply ID` gives the whole style in one step.
3. **Rules for skills**: if a finding is general (true beyond this project), propose it as a change to this kit
   with `bc:self-learn`.

Tell the user which rules matter most, with the numbers behind them.