prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…
Processes videos to identify engaging moments, generate transcripts, and create highlight clips with artistic titles and custom cover images. Use when user needs to: extract highlights from long videos or livestreams, clip or cut best moments from videos, cut video highlights,
Claude Code
$ npx -y skills add linzzzzzz/openclip --skill video-clip-extractor --agent claude-code
Codex
$ npx skills add linzzzzzz/openclip --skill video-clip-extractor -a codex -y
Cursor
$ npx skills add linzzzzzz/openclip --skill video-clip-extractor -a cursor -y
Gemini CLI
$ npx skills add linzzzzzz/openclip --skill video-clip-extractor -a gemini-cli -y
GitHub Copilot
$ npx skills add linzzzzzz/openclip --skill video-clip-extractor -a github-copilot -y
OpenCode
$ npx skills add linzzzzzz/openclip --skill video-clip-extractor -a opencode -y
Windsurf
$ npx skills add linzzzzzz/openclip --skill video-clip-extractor -a windsurf -y
name: "video-clip-extractor" description: "Processes videos to identify engaging moments, generate transcripts, and create highlight clips with artistic titles and custom cover images. Use when user needs to: extract highlights from long videos or livestreams, clip or cut best moments from videos, cut video highlights, process Bilibili/YouTube URLs or local video files, generate transcripts via Whisper, analyze content for engaging moments, create short-form clips with styled titles and covers, adjust cover text position and colors, find and export memorable scenes from recordings, burn subtitles into clips (with optional translation), guide clip selection with user intent, or identify speakers in multi-person conversations." allowed-tools: Bash(uv run python video_orchestrator.py*), Bash(git clone*), Bash(git -C*openclip*), Bash(cd ~/.local/share/openclip*), AskUserQuestion
Run the video orchestrator to process videos and extract engaging highlights.
1. **Get the source** — if the user didn't provide a video URL or file path, ask for it. 2. **Clarify intent** (optional) — if the user wants clips focused on a specific topic, capture it for `--user-intent`. If unclear, ask: "Any specific topic or moments to focus on? (e.g. 'funny moments', 'key arguments')" 3. **Check environment** — does `video_orchestrator.py` exist in the current directory? If yes, run directly. Otherwise use the global install at `~/.local/share/openclip`. 4. **Verify prerequisites** — check ffmpeg is installed and at least one API key is set. Warn if missing before running. 5. **Run the command** and stream output to user. 6. **Report results** — after completion, list the generated clips with timestamps and titles.
Before running, determine the execution context:
1. **Inside openclip repo** — if `video_orchestrator.py` exists in the current directory, skip setup and run directly. 2. **Global install** — if `~/.local/share/openclip` does not exist, run these steps:
**Prerequisites:** `git` and `uv` must be installed.
git clone https://github.com/linzzzzzz/openclip.git ~/.local/share/openclip cd ~/.local/share/openclip && uv sync
To update openclip later:
git -C ~/.local/share/openclip pull && cd ~/.local/share/openclip && uv sync
**If inside the openclip repo** (current directory contains `video_orchestrator.py`):
uv run python video_orchestrator.py [options] <source>
**If running globally** (from any other directory):
cd ~/.local/share/openclip && uv run python video_orchestrator.py -o "$OLDPWD/processed_videos" [options] <source>
`$OLDPWD` captures the user's original directory so clips are saved there, not inside the openclip install.
Where `<source>` is a video URL (Bilibili/YouTube) or local file path (MP4, WebM, AVI, MOV, MKV).
For local files with existing subtitles, place the `.srt` file in the same directory with the same filename (e.g. `video.mp4` → `video.srt`).
| Argument | Description | |---|---| | `source` | Video URL or local file path |
| Flag | Default | Description | |---|---|---| | `-o`, `--output <dir>` | `processed_videos` | Output directory | | `--max-clips <n>` | `5` | Maximum number of highlight clips | | `--browser <browser>` | `firefox` | Browser for cookies: `chrome`, `firefox`, `edge`, `safari` | | `--title-style <style>` | `fire_flame` | Title style: `gradient_3d`, `neon_glow`, `metallic_gold`, `rainbow_3d`, `crystal_ice`, `fire_flame`, `metallic_silver`, `glowing_plasma`, `stone_carved`, `glass_transparent` | | `--title-font-size <size>` | `medium` | Font size preset for artistic titles. Options: small(30px), medium(40px), large(50px), xlarge(60px) | | `--cover-text-location <loc>` | `center` | Cover text position: `top`, `upper_middle`, `bottom`, `center` | | `--cover-fill-color <color>` | `yellow` | Cover text fill color: `yellow`, `red`, `white`, `cyan`, `green`, `orange`, `pink`, `purple`, `gold`, `silver` | | `--cover-outline-color <color>` | `black` | Cover text outline color: `yellow`, `red`, `white`, `cyan`, `green`, `orange`, `pink`, `purple`, `gold`, `silver`, `black` | | `--language <lang>` | `zh` | Output language: `zh` (Chinese), `en` (English) | | `--llm-provider <provider>` | `qwen` | LLM provider: `qwen`, `openrouter`, `glm`, `minimax` | | `--user-intent <text>` | — | Free-text focus description (e.g. "moments about AI risks"). Steers LLM clip selection toward this topic | | `--subtitle-translation <lang>` | — | Translate subtitles to this language before burning (e.g. `"Simplified Chinese"`). Requires `--burn-subtitles` and `QWEN_API_KEY` | | `--speaker-references <dir>` | — | Directory of reference WAV files (one per speaker, filename = speaker name) for speaker diarization. Requires `uv sync --extra speakers` and `HUGGINGFACE_TOKEN` | | `-f`, `--filename <template>` | — | yt-dlp template: `%(title)s`, `%(uploader)s`, `%(id)s`, etc. |
| Flag | Description | |---|---| | `--force-whisper` | Ignore platform subtitles, use Whisper | | `--s
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