Generates spectrograms and mel, chroma, MFCC visualizations from audio files.
npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill songsee-cxnaive
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/cxnaive/hermes-agent-llbot/tree/main/skills/media/songsee Command: npx skills add https://github.com/cxnaive/hermes-agent-llbot --skill songsee-cxnaive
This Skill solves the difficulty of performing quick, visual audio analysis and debugging without needing heavy digital audio workstation software.
Use the songsee skill to generate a standard spectrogram from the file track.mp3 and save the output as spectrogram.png.
High-intent search queries and answers about installing and using this skill.
You can generate an audio spectrogram via CLI by running the songsee tool on your audio file, which quickly produces visual plots for signal processing analysis without needing a digital audio workstation.
Audio feature visualization includes generating spectrograms, mel-scaled plots, chroma features, and MFCC from audio files to facilitate technical audio analysis and synthesis debugging.
You need ffmpeg installed to decode non-native audio formats, while the core spectrogram generation and audio feature visualization require the songsee Go binary.
You can debug synthesis artifacts by using time-slicing to inspect a specific segment of a track, generating a multi-panel grid of spectral features with various color palettes.
The best way to compare audio processing pipelines is generating a multi-panel grid of spectral features from a specific track segment, allowing detailed visual inspection of audio signals via CLI.
huidgeGenerate multi-panel spectrogram visualizations from audio files.
guccangGenerate spectrograms and feature visualizations from audio files.
aivos-xieGenerate spectrograms and analyze mel, chroma, and MFCC audio features via CLI.
dkyazzentwatwaAnalyze audio tempo, key, loudness, and frequency with waveform and spectrogram visualizations.
