songsee turns audio files into visual representations: spectrograms, mel frequency plots, chroma features, and several other analysis panels that audio engineers and music researchers actually use. You can render a single visualization or combine up to nine panels in a grid, slice specific time ranges, and pipe from stdin. The CLI feels thoughtfully designed with sensible defaults but plenty of control over FFT windows, frequency ranges, and color palettes. It's the kind of tool that's genuinely useful when debugging audio processing pipelines or just trying to see what's happening in a track beyond waveforms. Native WAV and MP3 support, falls back to ffmpeg for everything else.
npx -y skills add steipete/clawdis --skill songsee --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills