Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.