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video-clip-skill视频剪辑技巧

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

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下载量

3,795
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:video-clip-skill(视频剪辑技巧)
来源仓库:https://github.com/chyyynh/video-clip-skill
安装命令:
openclaw skills install video-clip-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install video-clip-skill

简介

使用 yt-dlp 和 ffmpeg 在本地剪辑 YouTube 视频,支持自动高亮检测、翻译和卡拉OK字幕刻录。

  • 适合视频生成、动画合成、脚本化剪辑或 Remotion 项目开发,辅助组织镜头和生成素材说明。
  • 通过描述目标场景,如分辨率、时长和导出格式,让 Agent 执行剪辑任务。
  • 需确认素材路径和版权授权,涉及人物肖像或商业发布时应先审核内容合规性。
  • 安装后可直接调用,无需复杂配置,适合快速处理 YouTube 视频片段。

SKILL.md

name
clip-local
description
Clips a YouTube video locally using yt-dlp and ffmpeg. Supports auto-highlight detection, translation, and CapCut-style karaoke subtitle burning. Triggers when the user wants local video clipping, highlight extraction, or subtitle generation. Optional GROQ_API_KEY env var enables Whisper transcription fallback when YouTube has no subtitles.
argument-hint
[youtube-url-or-id] [start] [end] [output]

Video Clip (Local)

Requires yt-dlp, ffmpeg, and python3. Check with command -v.

Finding plugin scripts

The ASS karaoke generator is bundled with this plugin. Locate it once at the start (this only searches for the plugin's own bundled file):

ASS_SCRIPT=$(find ~/.claude/plugins -path '*/clip-local/*/scripts/ass-karaoke.py' 2>/dev/null | head -1)

Auto-highlight mode

When the user does NOT specify start/end times (e.g., "幫我剪這個影片的精華" or "clip the best parts"):

  1. Download the full transcript (step 1–2 below)
  2. Read the entire transcript and identify 3–5 highlight segments. For each, note:

- Start and end timestamps - A short description of why it's interesting (key insight, funny moment, dramatic turn, etc.)

  1. Present the highlights to the user as numbered options and ask which ones to clip
  2. Clip only the segments the user picks, then continue with the normal pipeline (translate, subtitle, etc.)

Pipeline

1. Get video info and original language

yt-dlp --print title --print duration_string --print language \
  --no-playlist --no-warnings --force-ipv4 "<URL>"

The third line is the original language code (e.g., en, en-US, ja, zh-Hant). Use the base code (before -) for subtitle download.

2. Download original language subtitles

yt-dlp --write-auto-sub --sub-lang "<LANG>*" --sub-format vtt --skip-download \
  --no-playlist --no-warnings --force-ipv4 \
  --extractor-args 'youtube:player-client=default,mweb' \
  -o "subs" "<URL>"

Replace <LANG> with the base language code from step 1 (e.g., en, ja). The * wildcard matches variants like en-orig. Do NOT use YouTube's auto-translated subs — they are low quality. All translation is done by you.

3. Trim VTT to clip range

When clipping a portion (e.g., 10–130s), filter the VTT to only include cues whose timestamps fall within the range. Keep the original absolute timestamps — do NOT adjust them. The --offset flag in ass-karaoke.py handles the time shift.

When filtering, strip any extra metadata from timestamp lines (e.g., align:start position:0%) — keep only HH:MM:SS.mmm --> HH:MM:SS.mmm. The ASS parser regex expects clean timestamp lines.

4. Translate subtitles

Write and execute a Python script that:

  1. Parses the trimmed VTT (regex: HH:MM:SS.mmm --> HH:MM:SS.mmm + text lines)
  2. Collects all text lines into a list
  3. You translate the list (print a Python list of translated strings)
  4. Writes a new VTT with identical timestamps and translated text

Example structure:

import re

# Parse original VTT
with open("clip.vtt") as f:
    content = f.read()
cues = re.findall(r'(\d{2}:\d{2}:\d{2}\.\d{3} --> \d{2}:\d{2}:\d{2}\.\d{3})\
((?:(?!\d{2}:\d{2}).+\
?)*)', content)

# Translations — fill this list with your translations, one per cue
translations = [
    "translated line 1",
    "translated line 2",
    # ...
]

# Write translated VTT
with open("clip_translated.vtt", "w") as f:
    f.write("WEBVTT\
\
")
    for (timestamp, _), translation in zip(cues, translations):
        f.write(f"{timestamp}\
{translation.strip()}\
\
")

Generate this script with the translations list filled in, then execute it. This ensures timestamps stay exact and VTT format is correct.

5. Generate ASS karaoke subtitles

python3 "$ASS_SCRIPT" <original.vtt> -o subs.ass -t <translated.vtt> --offset <START_SECONDS>
  • First arg = original language VTT (karaoke timing on top line)
  • -t = translated VTT (shown below karaoke line)
  • --offset = clip start time (adjusts timestamps relative to clip start)

Handles YouTube rolling caption dedup, CJK per-char splitting, and bilingual layout.

6. Resolve stream URLs and clip

Get both video + audio URLs in one call:

URLS=$(yt-dlp --get-url -f 'bv[height<=720]+ba/b[height<=720]' \
  --no-playlist --no-warnings --force-ipv4 \
  --extractor-args 'youtube:player-client=default,mweb' "<URL>")
VIDEO_URL=$(echo "$URLS" | head -1)
AUDIO_URL=$(echo "$URLS" | tail -1)

Then clip with ffmpeg:

  • With subtitles: -vf "ass=subs.ass" -c:v libx264 -preset fast -crf 23 -c:a aac -b:a 128k -movflags +faststart
  • Without subtitles: -c copy -avoid_negative_ts make_zero
  • Input seeking: -ss <START> before each -i
  • Separate streams: -map 0:v:0 -map 1:a:0

Whisper fallback (no YouTube subs)

If yt-dlp finds no auto-subs and user has GROQ_API_KEY set:

  1. Download audio: yt-dlp -f ba -x --audio-format mp3 --postprocessor-args 'ffmpeg:-ac 1 -ar 16000 -b:a 64k'
  2. Transcribe: POST https://api.groq.com/openai/v1/audio/transcriptions with model=whisper-large-v3, response_format=verbose_json
  3. Convert segments to VTT

If GROQ_API_KEY is not set, inform the user that no subtitles are available and ask how to proceed (clip without subs, or set the key).

Common issues

  • YouTube throttling: export cookies to a file and use --cookies cookies.txt
  • Missing CJK fonts for ASS: brew install font-noto-sans-cjk-tc (macOS)
  • Groq 25MB audio limit: split audio for videos >50min
  • Stream URLs expire ~6h: re-resolve if clip fails
  • Subtitle burning re-encodes video (~1–3 min for 60s clip)

适合场景

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.74%
按下载量换算3,140

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可疑

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安装前确认

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