Video Rough Cut

Use this skill for fast rough-cut cleanup of a single talking-head or voiceover video using the local B-Roll Studio rough-cut pipeline. It uploads one raw video, removes pauses and breaths, trims head/tail clutter, optionally applies brightness correction, stabilization, centering, and beauty, then exports a cleaned draft. Triggers on: 粗剪, 去停顿, 去气口, 去头尾, 自动粗剪, 防抖, 人物居中, 亮度修正, talking head cleanup, rough cut, jump cut cleanup.

Use this skill when the user has one raw talking-head /口播视频 and wants a cleaned first-pass edit, not a full B-roll edit.

Default output:

• one cleaned draft video
• optional cut-decision review data

Inputs

Required:

• one local video file

Optional:

• platform preset (douyin, etc.)
• whether to remove pauses
• whether to remove breaths
• whether to trim head/tail clutter
• whether to stabilize, auto-center, adjust brightness, apply beauty

Preferred execution path

Prefer the local B-Roll Studio rough-cut API if the app is running.

Base URL:

• http://localhost/api/v1

Use the bundled script:

• scripts/run_rough_cut.py

Read references/api.md when you need endpoint details. Read references/pipeline.md when you need to explain what the current rough-cut logic actually does.

Workflow

1. Validate prerequisites

Confirm:

• the input video exists
• local B-Roll Studio is running if you plan to use the API

2. Submit a rough-cut job

Use the bundled script:

python3 <skill-path>/scripts/run_rough_cut.py \
  --video "/absolute/path/to/video.mp4" \
  --base-url "http://localhost/api/v1" \
  --wait \
  --download

3. Default processing assumptions

Unless the user says otherwise:

• remove pauses: on
• remove breaths: on
• trim head/tail clutter: on
• stabilize: on
• auto-center: on
• brightness adjustment: on
• beauty mode: light
• denoise audio: off

4. Interpret the output correctly

This pipeline is for mechanical cleanup, not final editorial polish.

It is good for:

• removing empty pauses
• trimming 321走 / 试音 / 收镜头动作
• producing a cleaner draft for review

It is not the right tool for:

• detailed B-roll placement
• manual storytelling edits
• precision subtitle design

5. If the user reports quality issues

Typical corrective moves:

• 正文被裁掉: reduce head/tail trimming confidence or review cut decisions
• 尾部收镜头没裁掉: inspect cut decisions and rerun with trim enabled
• 声音发闷: keep denoise off
• 画面太亮: keep brightness adjustment on; the current pipeline clamps over-bright footage instead of only brightening

Quality bar

The result should feel like a clean draft editor would hand off for review:

• no partial trim of 321走
• no obvious trailing mirror-check / 收镜头动作
• pauses removed without harming正文
• brightness stays natural
• no heavy-handed denoise by default

Fallback

If the local API is not available:

• explain that this skill depends on the local B-Roll Studio rough-cut service
• provide the API health check command
• do not invent a separate rough-cut algorithm unless the user explicitly asks you to rebuild one

Bundled resources

• scripts/run_rough_cut.py Submit, poll, inspect, and download local rough-cut jobs.
• references/api.md Rough-cut API endpoints and request fields.
• references/pipeline.md Current rough-cut architecture distilled from the project.