Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
AudioMuse AI
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
AudioMuse AI
Best first install candidate based on install readiness and adoption.
Freshest repo
AudioMuse AI
Most recent maintenance signal among this shortlist.
| Signal | AudioMuse AI AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Jellyfin, Navidrome, LMS, Lyrion, and Emby: no metadata or external services required. |
|---|---|
| Quality | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.9K stars 0 installs |
| Freshness | Jun 15, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, Kubernetes, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add NeptuneHub/AudioMuse-AI |