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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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install chyyynh/video-clip-skillInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Requires yt-dlp, ffmpeg, and python3. Check with command -v.
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=$(find ~/.claude/plugins -path '*/clip-local/*/scripts/ass-karaoke.py' 2>/dev/null | head -1)
When the user does NOT specify start/end times (e.g., "幫我剪這個影片的精華" or "clip the best parts"):
yt-dlp --print title --print duration_string --print language \
--no-playlist --no-warnings --force-ipv4 "<URL>"
The third line is the original language code (e.g., en, en-US, ja, zh-Hant). Use the base code (before -) for subtitle download.
yt-dlp --write-auto-sub --sub-lang "<LANG>*" --sub-format vtt --skip-download \
--no-playlist --no-warnings --force-ipv4 \
--extractor-args 'youtube:player-client=default,mweb' \
-o "subs" "<URL>"
Replace <LANG> with the base language code from step 1 (e.g., en, ja). The * wildcard matches variants like en-orig. Do NOT use YouTube's auto-translated subs — they are low quality. All translation is done by you.
When clipping a portion (e.g., 10–130s), filter the VTT to only include cues whose timestamps fall within the range. Keep the original absolute timestamps — do NOT adjust them. The --offset...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Video Clip (Local) Requires `yt-dlp`, `ffmpeg`, and `python3`. Check with `command -v`. ## Finding plugin scripts The ASS karaoke generator is bundled with this plugin. Locate it once at the start (this only searches for the plugin's own bundled file): ```bash ASS_SCRIPT=$(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.) 3. Present the highlights to the user as numbered options and ask which ones to clip 4. Clip only the segments the user picks, then continue with the normal pipeline (translate, subtitle, etc.) ## Pipeline ### 1. Get video info and original language ```bash 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 ```bash 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`...
Search and hire real humans for tasks — photography, delivery, research, and more
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