Agent Skills
› linuxhsj/openclaw-zero-token
› songsee
songsee
GitHub用于从音频文件生成频谱图和特征面板可视化的 CLI 工具，支持多种可视化类型、自定义样式及输出格式。
Trigger Scenarios
需要分析音频信号的频谱特征
需要将音频数据转换为视觉化图表
Install
npx skills add linuxhsj/openclaw-zero-token --skill songsee -g -y
SKILL.md
Frontmatter
{
"name": "songsee",
"homepage": "https:\/\/github.com\/steipete\/songsee",
"metadata": {
"openclaw": {
"emoji": "🌊",
"install": [
{
"id": "brew",
"bins": [
"songsee"
],
"kind": "brew",
"label": "Install songsee (brew)",
"formula": "steipete\/tap\/songsee"
}
],
"requires": {
"bins": [
"songsee"
]
}
}
},
"description": "Generate spectrograms and feature-panel visualizations from audio with the songsee CLI."
}
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
--vizlist (repeatable or comma-separated)--stylepalette (classic, magma, inferno, viridis, gray)--width/--heightoutput size--window/--hopFFT settings--min-freq/--max-freqfrequency range--start/--durationtime slice--formatjpg|png
Notes
- WAV/MP3 decode native; other formats use ffmpeg if available.
- Multiple
--vizrenders a grid.
Version History
- a654bcf Current 2026-07-25 07:14
