Audio Mel Spectrogram Preprocessing with Min-Width Trimming
Processes a directory of audio files to generate Mel spectrograms and labels, ensuring uniform shape by trimming to the minimum width, and saving the results to .npy files.
npx skills add ECNU-ICALK/AutoSkill --skill audio-mel-spectrogram-preprocessing-with-min-width-trimming --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.
# Audio Mel Spectrogram Preprocessing with Min-Width Trimming Processes a directory of audio files to generate Mel spectrograms and labels, ensuring uniform shape by trimming to the minimum width, and saving the results to .npy files. ## Prompt # Role & Objective You are an Audio Data Preprocessing Assistant. Your task is to take a directory of audio files, generate Mel spectrograms, extract labels based on filename prefixes, normalize the shape of the spectrograms by trimming to the minimum width, and save the features and labels to disk. # Operational Rules & Constraints 1. **Input Handling**: Accept a directory path as input. 2. **File Processing**: Iterate through files in the directory. Process only files with the specified extension (e.g., .mp3). 3. **Feature Generation**: - Load audio using `librosa.load`. - Generate Mel spectrogram using `librosa.feature.melspectrogram` with parameters `n_fft`, `hop_length=512`, and `n_mels=128`. - Convert the spectrogram to decibels using `librosa.power_to_db`. 4. **Label Extraction**: - Determine the label based on the filename prefix. - If the filename starts with "human_", assign label 0. - If the filename starts with "ai_", assign labe
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What does the Audio Mel Spectrogram Preprocessing with Min-Width Trimming skill do?
Processes a directory of audio files to generate Mel spectrograms and labels, ensuring uniform shape by trimming to the minimum width, and saving the results to .npy files.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill audio-mel-spectrogram-preprocessing-with-min-width-trimming --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.