Media
video-downloader - Claude MCP Skill
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
SEO Guide: Enhance your AI agent with the video-downloader tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to downloads videos from youtube and other platforms for offline viewing, editing, or archival. handles... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Video Downloader This skill downloads videos from YouTube and other platforms directly to your computer. ## When to Use This Skill - Downloading YouTube videos for offline viewing - Saving educational content for reference - Archiving important videos - Getting video files for editing or repurposing - Downloading your own content from platforms - Saving conference talks or webinars ## What This Skill Does 1. **Downloads Videos**: Fetches videos from YouTube and other platforms 2. **Quality Selection**: Lets you choose resolution (480p, 720p, 1080p, 4K) 3. **Format Options**: Downloads in various formats (MP4, WebM, audio-only) 4. **Batch Downloads**: Can download multiple videos or playlists 5. **Metadata Preservation**: Saves title, description, and thumbnail ## How to Use ### Basic Download ``` Download this YouTube video: https://youtube.com/watch?v=... ``` ``` Download this video in 1080p quality ``` ### Audio Only ``` Download the audio from this YouTube video as MP3 ``` ### Playlist Download ``` Download all videos from this YouTube playlist: [URL] ``` ### Batch Download ``` Download these 5 YouTube videos: 1. [URL] 2. [URL] ... ``` ## Example **User**: "Download this YouTube video: https://youtube.com/watch?v=abc123" **Output**: ``` Downloading from YouTube... Video: "How to Build Products Users Love" Channel: Lenny's Podcast Duration: 45:32 Quality: 1080p Progress: āāāāāāāāāāāāāāāāāāāā 100% ā Downloaded: how-to-build-products-users-love.mp4 ā Saved thumbnail: how-to-build-products-users-love.jpg ā Size: 342 MB Saved to: ~/Downloads/ ``` **Inspired by:** Lenny's workflow from his newsletter ## Important Notes ā ļø **Copyright & Fair Use** - Only download videos you have permission to download - Respect copyright laws and platform terms of service - Use for personal, educational, or fair use purposes - Don't redistribute copyrighted content ## Tips - Specify quality if you need lower file size (720p vs 1080p) - Use audio-only for podcasts or music to save space - Download to a dedicated folder to stay organized - Check file size before downloading on slow connections ## Common Use Cases - **Education**: Save tutorials and courses for offline learning - **Research**: Archive videos for reference - **Content Creation**: Download your own content from platforms - **Backup**: Save important videos before they're removed - **Offline Viewing**: Watch videos without internet access
Signals
Information
- Repository
- skillcreatorai/Ai-Agent-Skills
- Author
- skillcreatorai
- Last Sync
- 3/12/2026
- Repo Updated
- 3/12/2026
- Created
- 1/13/2026
Reviews (0)
No reviews yet. Be the first to review this skill!
Related Skills
code-review
Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.
Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
skill-creator
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".
adversarial-spec
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.