Download videos and extract audio from 900+ platforms including YouTube, Twitter, TikTok, and Instagram.
Works with
Supports three core operations: video download with quality selection (best, 1080p, 720p, 480p), audio extraction in multiple formats (MP3, M4A, OPUS, FLAC, WAV), and URL detection from conversation text
Auto-detects video links in conversations and prompts user to download; handles single and multiple URLs with playlist support
Includes three Python scripts: download_video.py for
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionyt-dlpExecute the skills CLI command in your project's root directory to begin installation:
Fetches yt-dlp from lwmxiaobei/yt-dlp-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate yt-dlp. Access via /yt-dlp in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill provides tools for downloading videos and extracting audio from various platforms using yt-dlp.
When user explicitly asks to download a video:
User: Download this video https://youtube.com/watch?v=...
Action: Extract URL and call download script
When conversation contains video URLs:
User: Check out this video https://twitter.com/... and let me know what you think
Action: Detect video URL, ask user if they want to download it
When user wants to extract audio only:
User: Extract the audio from https://youtu.be/...
Action: Use audio extraction script
Note: Scripts are located in the scripts/ directory
Main video downloader with quality and format options.
Usage:
# Download video
scripts/download_video.py <url> -o <output_dir>
# Download with specific quality
scripts/download_video.py <url> --quality 720p
scripts/download_video.py <url> --quality audio # For audio only
# Custom format selector
scripts/download_video.py <url> --format "bestvideo[height<=1080]+bestaudio/best"
# Extract info only
scripts/download_video.py <url> --info-only
Quality options: best, 1080p, 720p, 480p, audio
Extract audio from videos in various formats.
Usage:
# Extract as MP3 (default)
/scripts/extract_audio.py <url> -o <output_dir>
# Extract as M4A
/scripts/extract_audio.py <url> --format m4a
# Custom quality
/scripts/extract_audio.py <url> --quality 320
Formats: mp3, m4a, opus, flac, wav
Extract video URLs from text or files.
Usage:
# Extract from text argument
/scripts/extract_urls.py "Check https://youtube.com/watch?v=..."
# Extract from file
/scripts/extract_urls.py <file_path>
# Read from stdin
cat file.txt | /scripts/extract_urls.py
The skill recognizes URLs from:
extract_urls.pyextract_urls.py (can process stdin)When user doesn't specify preferences:
When options needed:
# Ask user for quality preference if not specified
# Options: best (default), 1080p, 720p, 480p, audio
# Ask for format if extracting audio
# Options: mp3 (default), m4a, opus, flac, wav
Common issues and solutions:
yt-dlp not installed:
yt-dlp --versionpip install yt-dlp or brew install yt-dlpffmpeg not installed (required for format conversion):
brew install ffmpeg (macOS)apt install ffmpeg (Linux)Video not available:
Network errors:
yt-dlp: Main video downloaderffmpeg: Audio/video processing (required for format conversion)python3 with standard libraryAll scripts are self-contained and use only built-in Python modules.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
yt-dlp reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: yt-dlp is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for yt-dlp matched our evaluation — installs cleanly and behaves as described in the markdown.
We added yt-dlp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for yt-dlp matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: yt-dlp is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: yt-dlp is focused, and the summary matches what you get after install.
Useful defaults in yt-dlp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
yt-dlp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
yt-dlp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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