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songsee Skill

AI Agent SkillPythonOpen source

Audio spectrograms/features (mel, chroma, MFCC) via CLI. Published by NousResearch in hermes-agent.

What is songsee Skill?

Audio spectrograms/features (mel, chroma, MFCC) via CLI. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using hermes-agent

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use songsee Skill

  • Use it for developers using hermes-agent.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: skills/media/songsee/SKILL.md

What it does

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

Skill instructions

songsee Generate spectrograms and multi-panel audio feature visualizations from audio files. Prerequisites Requires Go: bash go install github.com/steipete/songsee/cmd/songsee@latest Optional: ffmpeg for formats beyond WAV/MP3. Quick Start bash Basic spectrogram songsee track.mp3 Save to specific file songsee track.mp3 -o spectrogram.png Multi-panel visualization grid songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux Time slice (start at 12.5s, 8s duration) songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg From stdin cat track.mp3 | songsee - --format png -o out.png Visualization Types Use --viz with comma-separated values: | Type | Description | |------|-------------| | spectrogram | Standard frequency spectrogram | | mel | Mel-scaled spectrogram | | chroma | Pitch class distribution | | hpss | Harmonic/percussive separation | | selfsim | Self-similarity matrix | | loudness | Loudness over time | | tempogram | Tempo estimation | | mfcc | M

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Frequently asked questions

What is songsee?

songsee is a open-source AI agent skill with Copy skill directory. Audio spectrograms/features (mel, chroma, MFCC) via CLI.

Who is songsee best for?

songsee is best for reusing agent instructions, scripts, and references.

How do I install songsee?

Install or run songsee using Copy skill directory. Check songsee for the latest setup command.

Is songsee actively maintained?

songsee may need a closer maintenance check before production use.

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Stars
214,436
Forks
39,858
Last commit
9 days ago
Repository age
1 year
License
MIT

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