Generate spectrogram and multi-feature visual panels from audio files.
npx skills add https://github.com/nomad3/openclaw-k8s --skill songsee-nomad3
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/nomad3/openclaw-k8s/tree/main/package/skills/songsee Command: npx skills add https://github.com/nomad3/openclaw-k8s --skill songsee-nomad3
Quickly turning audio files into useful visual representations so you can inspect sound characteristics without manually setting up analysis tooling.
Run songsee on your audio to generate a spectrogram image and save it as a PNG output file.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, this Skill processes common audio formats and outputs a visual spectrogram image. It converts audio tracks into visual frequency representations for rapid review without manual analysis setup.
Audio feature panel visualization combines spectrograms with multiple audio features into multi-panel outputs. It is used for music analysis, audio QA, and exploratory research to inspect sound characteristics and frequency content over time.
Yes, you can visualize a specific time slice of an audio track to focus on events like vocal onsets, beats, or noise bursts. This Skill generates targeted time-slice visual outputs for focused inspection of specific audio segments.
Yes, you need the songsee CLI installed to create spectrogram images. This Skill requires the songsee CLI to generate images from input audio using selectable visualization types and output format settings.
The best way to extract frequency content visuals for audio QA is generating multi-feature visual panels from audio files. This Skill creates configurable visualization grids combining spectrograms and audio features for rapid sound inspection.
Spectrogram generation supports common audio formats for visual output. This Skill processes standard audio files to produce spectrograms and multi-feature visual panels without requiring specialized audio analysis tooling.
samlaggzGenerate spectrograms and multi-panel audio feature visualizations from audio files via CLI.
AlvaroBianoGenerate spectrogram, mel, chroma, hpss, mfcc visualizations from audio files to PNG/JPG using songsee CLI.
ruiyangruiyiGenerate audio spectrograms and multi-feature visualizations from audio files.
yf8578Generate interactive, web-embeddable Plotly charts from your data.
