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SKILL.md
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SKILL.md
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---
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name: songsee
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description: "使用songsee CLI从音频生成频谱图和特征面板可视化。"
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homepage: https://github.com/steipete/songsee
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metadata: {"clawdbot":{"emoji":"🌊","requires":{"bins":["songsee"]},"install":[{"id":"brew","kind":"brew","formula":"steipete/tap/songsee","bins":["songsee"],"label":"Install songsee (brew)"}]}}
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---
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# songsee
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Generate spectrograms + feature panels from audio.
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Quick start
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- Spectrogram: `songsee track.mp3`
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- Multi-panel: `songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux`
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- Time slice: `songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg`
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- Stdin: `cat track.mp3 | songsee - --format png -o out.png`
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Common flags
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- `--viz` list (repeatable or comma-separated)
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- `--style` palette (classic, magma, inferno, viridis, gray)
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- `--width` / `--height` output size
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- `--window` / `--hop` FFT settings
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- `--min-freq` / `--max-freq` frequency range
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- `--start` / `--duration` time slice
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- `--format` jpg|png
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Notes
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- WAV/MP3 decode native; other formats use ffmpeg if available.
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- Multiple `--viz` renders a grid.
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_meta.json
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_meta.json
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{
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"ownerId": "kn70pywhg0fyz996kpa8xj89s57yhv26",
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"slug": "songsee",
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"version": "1.0.0",
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"publishedAt": 1767545379576
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}
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