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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 vi...
使用此技能,可通过本地 B‑Roll Studio 粗剪流程快速对单个谈话头像或配音视频进行粗剪清理。上传一段原始视频后即可完成。
tiepige8
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
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概述

Video Rough Cut

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.

Rough-cut API endpoints and request fields.

Current rough-cut architecture distilled from the project.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 05:44 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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