skills/yt-dlp/SKILL.md
Download video and audio from YouTube and other platforms with yt-dlp. Use when a user asks to download YouTube videos, extract audio from videos, download playlists, get subtitles, download specific formats or qualities, batch download, archive channels, extract metadata, embed thumbnails, download from social media platforms (Twitter, Instagram, TikTok), or build media ingestion pipelines. Covers format selection, audio extraction, playlists, subtitles, metadata, and automation.
npx skillsauth add tusosos/manus-knowledge-base yt-dlpInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Download and extract media from YouTube and 1000+ other sites using yt-dlp — the actively maintained fork of youtube-dl. This skill covers audio extraction (MP3/FLAC/WAV), video download with quality selection, playlist handling, subtitle download, metadata extraction, thumbnail embedding, batch operations, channel archiving, and integration with processing pipelines (ffmpeg, whisper).
# pip (recommended)
pip install yt-dlp
# Standalone binary
curl -L https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp -o /usr/local/bin/yt-dlp
chmod +x /usr/local/bin/yt-dlp
# Update
yt-dlp -U
# Verify
yt-dlp --version
ffmpeg is required for merging formats and audio conversion:
apt install -y ffmpeg # Ubuntu/Debian
brew install ffmpeg # macOS
# Download best audio, convert to MP3
yt-dlp -x --audio-format mp3 "https://youtube.com/watch?v=VIDEO_ID"
# Best audio as FLAC (lossless)
yt-dlp -x --audio-format flac "URL"
# Best audio as WAV
yt-dlp -x --audio-format wav "URL"
# MP3 with specific quality (0=best, 9=worst)
yt-dlp -x --audio-format mp3 --audio-quality 0 "URL"
# Keep original format (no conversion)
yt-dlp -x "URL"
# Download audio + embed thumbnail as album art
yt-dlp -x --audio-format mp3 --embed-thumbnail "URL"
# Download audio + embed metadata (title, artist, etc.)
yt-dlp -x --audio-format mp3 --embed-metadata --embed-thumbnail "URL"
# Custom output filename
yt-dlp -x --audio-format mp3 -o "%(title)s.%(ext)s" "URL"
yt-dlp -x --audio-format mp3 -o "%(uploader)s - %(title)s.%(ext)s" "URL"
# Best quality (video + audio merged)
yt-dlp "URL"
# List available formats
yt-dlp -F "URL"
# Output: ID EXT RESOLUTION FPS FILESIZE CODEC BITRATE
# Download specific format by ID
yt-dlp -f 137+140 "URL" # 1080p video + best audio
# Best video up to 1080p
yt-dlp -f "bestvideo[height<=1080]+bestaudio/best[height<=1080]" "URL"
# Best video up to 720p, prefer MP4
yt-dlp -f "bestvideo[height<=720][ext=mp4]+bestaudio[ext=m4a]/best[height<=720]" "URL"
# Only 4K if available
yt-dlp -f "bestvideo[height>=2160]+bestaudio" "URL"
# Smallest file
yt-dlp -f "worstvideo+worstaudio/worst" "URL"
# MP4 output (re-mux if needed)
yt-dlp --merge-output-format mp4 "URL"
# Download entire playlist
yt-dlp "https://youtube.com/playlist?list=PLAYLIST_ID"
# Playlist: audio only
yt-dlp -x --audio-format mp3 "PLAYLIST_URL"
# Download specific items from playlist
yt-dlp --playlist-start 5 --playlist-end 10 "PLAYLIST_URL" # Items 5-10
yt-dlp --playlist-items 1,3,5,7-10 "PLAYLIST_URL" # Specific items
# Download entire channel
yt-dlp "https://youtube.com/@ChannelName/videos"
# Download channel with organized folders
yt-dlp -o "%(uploader)s/%(playlist)s/%(title)s.%(ext)s" "CHANNEL_URL"
# Only videos from last 30 days
yt-dlp --dateafter today-30days "CHANNEL_URL"
# Skip already downloaded (archive file)
yt-dlp --download-archive archive.txt "PLAYLIST_URL"
# Subsequent runs skip already downloaded videos
# Download video + subtitles
yt-dlp --write-sub --sub-lang en "URL"
# Download auto-generated subtitles
yt-dlp --write-auto-sub --sub-lang en "URL"
# All available subtitles
yt-dlp --write-sub --all-subs "URL"
# Subtitles only (no video)
yt-dlp --skip-download --write-sub --sub-lang en "URL"
# Convert subtitles to SRT
yt-dlp --write-sub --sub-lang en --convert-subs srt "URL"
# Embed subtitles into video file
yt-dlp --embed-subs --sub-lang en "URL"
# List available subtitle languages
yt-dlp --list-subs "URL"
# Print video info (no download)
yt-dlp --dump-json "URL" | python3 -m json.tool
# Extract specific fields
yt-dlp --print "%(title)s | %(duration)s | %(view_count)s" "URL"
# Get thumbnail URL
yt-dlp --get-thumbnail "URL"
# Download thumbnail only
yt-dlp --skip-download --write-thumbnail "URL"
# Download description
yt-dlp --skip-download --write-description "URL"
# Download comments
yt-dlp --skip-download --write-comments "URL"
# Get video info as JSON for a playlist
yt-dlp --dump-json --flat-playlist "PLAYLIST_URL"
# Fields: title, uploader, upload_date, duration, view_count, ext, id, playlist_index, etc.
yt-dlp -o "%(uploader)s/%(upload_date)s - %(title)s.%(ext)s" "URL"
yt-dlp -x --audio-format mp3 -o "podcasts/%(playlist)s/%(playlist_index)03d - %(title)s.%(ext)s" "PLAYLIST_URL"
yt-dlp -o "%(title).100B.%(ext)s" "URL" # Limit title to 100 bytes
# Download from URL list, with archive tracking and rate limiting
yt-dlp -a urls.txt -x --audio-format mp3
yt-dlp -a urls.txt --download-archive done.txt -x --audio-format mp3
yt-dlp --rate-limit 5M --sleep-interval 5 -a urls.txt
yt-dlp -N 4 "PLAYLIST_URL" # 4 concurrent downloads
yt-dlp supports 1000+ sites beyond YouTube. Use yt-dlp --list-extractors to see all:
yt-dlp "https://twitter.com/user/status/123456789" # Twitter/X
yt-dlp "https://www.instagram.com/p/POST_ID/" # Instagram
yt-dlp "https://www.tiktok.com/@user/video/123456789" # TikTok
yt-dlp "https://www.twitch.tv/videos/123456789" # Twitch VODs
yt-dlp "https://soundcloud.com/artist/track-name" # SoundCloud
yt-dlp "https://vimeo.com/123456789" # Vimeo
# Download → extract audio → transcribe with Whisper
yt-dlp -x --audio-format wav -o "temp.%(ext)s" "URL"
whisper temp.wav --model small --output_format srt
# Download podcast → normalize → generate waveform
yt-dlp -x --audio-format wav -o "episode.%(ext)s" "URL"
sox episode.wav normalized.wav norm -1 highpass 80
audiowaveform -i normalized.wav -o waveform.json --pixels-per-second 20
Save defaults in ~/.config/yt-dlp/config:
-f bestvideo[height<=1080][ext=mp4]+bestaudio[ext=m4a]/best[height<=1080]
-o %(uploader)s/%(title)s.%(ext)s
--embed-metadata
--embed-thumbnail
--download-archive ~/.local/share/yt-dlp/archive.txt
--rate-limit 10M
--sleep-interval 3
--write-auto-sub
--sub-lang en
--convert-subs srt
User prompt: "Download all videos from this YouTube playlist as high-quality MP3 files with embedded album art and metadata. Organize them by playlist index number. Playlist URL: https://youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf"
The agent will:
yt-dlp -x --audio-format mp3 --audio-quality 0 --embed-thumbnail --embed-metadata -o "%(playlist_index)03d - %(title)s.%(ext)s" --download-archive archive.txt "PLAYLIST_URL".User prompt: "Download this conference talk as 720p MP4 with English subtitles embedded, then also extract just the audio as WAV for transcription: https://youtube.com/watch?v=dQw4w9WgXcQ"
The agent will:
yt-dlp -f "bestvideo[height<=720]+bestaudio" --merge-output-format mp4 --embed-subs --sub-lang en --write-auto-sub "URL".yt-dlp -x --audio-format wav -o "talk-audio.%(ext)s" "URL".--download-archive archive.txt when downloading playlists or channels to avoid re-downloading videos on subsequent runs.--rate-limit 5M --sleep-interval 5 when batch downloading to avoid being throttled or blocked by the source platform.-f "bestvideo[height<=1080]+bestaudio/best[height<=1080]" as a default format selector to get good quality without unnecessarily large 4K files.yt-dlp -U; extractors break frequently as platforms change their APIs and page structures.development
Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
development
Use when you have a spec or requirements for a multi-step task, before touching code
development
Transcribe audio to text with OpenAI Whisper. Use when a user asks to transcribe audio files, generate subtitles (SRT/VTT), transcribe podcasts, convert speech to text, translate audio to English, build transcription pipelines, do speaker diarization, transcribe meetings, process voice memos, create searchable audio archives, or integrate speech-to-text into applications. Covers OpenAI Whisper (local), Whisper API, faster-whisper, whisper.cpp, and production deployment patterns.