avenox-roughcut

仓库创建 2026年7月25日最近提交 1 天前SkillHot 收录 6 小时前

▸ 精选理由

把常见的口述视频粗剪流程自动化，适合大量 talking-head 或教学视频制作。

这个 Skill 做什么

基于转录的粗剪流水线，自动移除死音并标出重说/错误片段供人工确认。

基于转录的粗剪流水线，自动去掉静音段并用转录识别出重说或错误片段供人工确认。适合剪讲话头或屏幕录制的原始素材，先自动删死气再把可疑重拍标出来给导演审批。优点是把常见的静音和口吃重复自动化，显著减少人工初剪工作量。

▸ 展开 SKILL.md 英文原文

Avenox Studio — transcript-driven rough cut (silence + flub/retake removal). Use when cutting a raw talking-head or screen recording: remove dead air AND bad takes/restarts. Proven recipe with real gotchas baked in. Triggers: "rough cut", "cut the silences", "remove flubs/retakes", a raw screen recording to trim. Part of avenox-video step 2.

内容创作粗剪流水线转录驱动去静音/去花絮通用

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# Rough cut — transcript-driven (silence + flubs)

Two kinds of cut: **silence** (dead air, mechanical → auto-editor) and
**flubs/retakes** (a restarted sentence, semantic → transcript + agent
judgment). The director approves the flub list before anything is cut.

## Pipeline

Job dir (LOCAL — never inside a synced/cloud folder):
`$STUDIO_JOBS/<job>/{raw,cut,transcript,frames}`

> Set `STUDIO_JOBS` to wherever you keep heavy media, e.g.
> `export STUDIO_JOBS=~/video/projects`. Keeping media out of a synced folder
> matters: cloud sync will thrash on multi-GB intermediates.

### 1. Transcribe (local mlx-whisper — Apple Silicon)

```bash
cd "$STUDIO_JOBS/<job>"
python3 -c "
import os, certifi;

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