Bitterbot-desktop songsee

Name: songsee
Author: Bitterbot-AI

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

install

source · Clone the upstream repo

git clone https://github.com/Bitterbot-AI/bitterbot-desktop

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/Bitterbot-AI/bitterbot-desktop "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/songsee" ~/.claude/skills/bitterbot-ai-bitterbot-desktop-songsee && rm -rf "$T"

manifest: skills/songsee/SKILL.md

source content

songsee

Generate spectrograms + feature panels from audio.

Quick start

Spectrogram:
```
songsee track.mp3
```

Multi-panel:

songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux

Time slice:

songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg

Stdin:

cat track.mp3 | songsee - --format png -o out.png

Common flags

```
--viz
```
list (repeatable or comma-separated)
```
--style
```
palette (classic, magma, inferno, viridis, gray)
```
--width
```
/
```
--height
```
output size
```
--window
```
/
```
--hop
```
FFT settings
```
--min-freq
```
/
```
--max-freq
```
frequency range
```
--start
```
/
```
--duration
```
time slice
```
--format
```
jpg|png

Notes

WAV/MP3 decode native; other formats use ffmpeg if available.
Multiple
```
--viz
```
renders a grid.