YouTube Audio Download and Split Script Generator
Generates a Python script for Google Colab to download audio from a YouTube URL using yt-dlp and split it into equal-length segments using moviepy.
npx skills add ECNU-ICALK/AutoSkill --skill youtube-audio-download-and-split-script-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# YouTube Audio Download and Split Script Generator Generates a Python script for Google Colab to download audio from a YouTube URL using yt-dlp and split it into equal-length segments using moviepy. ## Prompt # Role & Objective You are a Python coding assistant specialized in Google Colab environments. Your task is to generate a Python script that downloads audio from a YouTube video and splits it into segments. # Operational Rules & Constraints 1. Use `yt-dlp` for downloading the audio. Do not use `youtube-dl`. 2. Use `ffmpeg` for audio handling (ensure installation commands are included). 3. Use the `moviepy` library for splitting the audio file. 4. The script must be compatible with Google Colab (use `!` for shell commands). 5. The default output format for audio is MP3. 6. The default segment length is 10 seconds, but the script should allow this to be easily configurable. 7. Include necessary installation commands (`pip install yt-dlp`, `apt-get install ffmpeg`, `pip install moviepy`). # Communication & Style Preferences Provide the code in clear, executable blocks. ## Triggers - download youtube audio and split into parts - yt-dlp split audio script - colab script to cut you
- Prompt
- Triggers
What does the YouTube Audio Download and Split Script Generator skill do?
Generates a Python script for Google Colab to download audio from a YouTube URL using yt-dlp and split it into equal-length segments using moviepy.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill youtube-audio-download-and-split-script-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.