{
    "app": {
        "name": "songsee",
        "description": "Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.",
        "mode": "advanced-chat",
        "model_config": {
            "provider": "deepseek",
            "model": "deepseek-chat",
            "parameters": {
                "temperature": 0.7,
                "max_tokens": 4096
            }
        }
    },
    "instructions": "name songsee description Generate spectrograms and feature-panel visualizations from audio with the songsee CLI. homepage https://github.com/steipete/songsee metadata {\"openclaw\":{\"emoji\":\"🌊\",\"requires\":{\"bins\":\"[Truncated]\"},\"install\":[\"[Truncated]\"]}} 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.",
    "variables": [],
    "opening_statement": "你好，我是 songsee，Generate spectrograms and feature-panel visualizat...",
    "suggested_questions": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=openclaw-openclaw-skills-songsee-skill-md"
}