video-downloader
SolidDownloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Install
Quality Score: 80/100
Skill Content
Details
- Author
- Prat011
- Repository
- Prat011/awesome-llm-skills
- Created
- 9 months ago
- Last Updated
- 2 weeks ago
- Language
- Python
- License
- None
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
youtube-fetch
Fetches YouTube video metadata and transcripts using yt-dlp. Activate when the user shares a YouTube URL (youtube.com, youtu.be), asks to 'fetch this video', 'get the transcript', 'what does this video say', 'summarize this YouTube video', or references video content that needs to be retrieved. Also activate when processing multiple YouTube URLs in batch. Do NOT use for non-YouTube video platforms, local video files, or audio-only podcast URLs.
video-processing
Download, transcribe, analyze, and clip video content — vertical shorts, captions, thumbnails
watch-video
When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports. Three depth modes user picks per invocation — transcript (just words, fast/free), visual (transcript + ffmpeg frame extraction + Claude vision pass on key moments), multimodal (Gemini native video ingestion if $GEMINI_API_KEY set, else dense Claude vision). Uses MLX-Whisper local on Mac for transcription, falls back to platform-provided transcripts when available (Loom, Riverside, YouTube auto-subs). Saves to ~/Documents/videos/<source>-<slug>-<date>/ and optionally captures summary to second-brain raw/ as call-/meeting-/note-. Triggers on "/watch-video <url>," "watch this video," "transcribe this loom," "analyze this video," "summarize this recording," "key moments from this," "what happened in this video." This skill replaces and broadens the prior youtube-transcript skill.