songsee Skill
Audio spectrograms/features (mel, chroma, MFCC) via CLI. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Developers using hermes-agent, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
21 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using hermes-agent
Declared skill metadata
- Declared author: community
- Declared license: MIT
- Source file: skills/media/songsee/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use songsee Skill
- Use it for developers using hermes-agent.
Built with
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
Verified compatibility and discovery
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
