iamzhihuix/happy-claude-skills
Overview
This skill provides a single CLI for downloading and processing videos from YouTube and many other sites. It handles video download, audio extraction, format conversion to MP4 or WebM, and speech-to-text transcription with Whisper. Sensible defaults and dependency checks make it practical for ad-hoc or batch workflows.
How this skill works
The script uses yt-dlp to fetch videos or metadata, FFmpeg to extract and convert audio/video, and OpenAI Whisper for transcription. Commands include download, extract-audio, to-mp4, to-webm, and transcribe; the transcribe flow extracts audio with FFmpeg, runs Whisper, then emits txt/srt/vtt/json. Temporary files are managed and common errors (missing deps, bad inputs) are reported clearly.
When to use it
- Download a YouTube or web-hosted video for local editing or archiving
- Extract audio from a video for podcasts, analysis, or transcription
- Convert legacy or device formats to MP4 for universal playback
- Create web-optimized WebM files for website streaming
- Generate transcripts or subtitle files (SRT/VTT) for accessibility or content repurposing
- Batch process folders of videos for training material or publishing
Best practices
- Install and verify yt-dlp, FFmpeg, and Whisper before running the CLI
- Use 'base' or 'tiny' models for quick drafts; choose 'small' or 'medium' for production accuracy
- Extract audio first for very long videos, then transcribe in segments to reduce memory and runtime
- Prefer WAV or MP3 at 16kHz for optimal Whisper performance; the script handles conversion automatically
- Test WebM VP9 encoding on a short file to tune preset and codec for your speed/size trade-offs
Example use cases
- Convert an old AVI camera file to MP4 for editing and sharing
- Extract lecture audio and generate a plain-text transcript for note-taking
- Transcribe a Spanish interview with the medium model and output SRT for publication
- Convert multiple training videos to WebM and produce transcripts for each file
- Download a YouTube video with subtitles embedded and then generate a cleaned transcript
FAQ
You need yt-dlp, FFmpeg, and OpenAI Whisper installed and visible on your PATH. Python packages used by the script must also be available.
Which Whisper model should I choose?
Use tiny/base for speed and drafts, small/medium for production quality, and large only when maximum accuracy is required and you have sufficient RAM.
Can I transcribe directly from a video file?
Yes. The transcribe command extracts audio with FFmpeg automatically and then runs Whisper, producing the chosen output format.
4 skills
This skill helps you download, convert, and transcribe videos using yt-dlp, FFmpeg, and Whisper for easy offline processing.
This skill replicates Word document formatting from a template to generate new documents with identical styles and structure.
This skill helps automate WeChat public article creation from research to layout, delivering compelling headlines and polished formatting for self-media
This skill automates browser tasks using minimal CDP tools to start Chrome, navigate pages, run scripts, take screenshots, and extract DOM data.
