Interpret performance metrics for musicians — Spotify save rate, skip rate, TikTok completion, email open rate, merch conversion. Never just displays numbers — always explains what they mean and what to do. Use when a musician shares stats, asks about analytics, metrics, performance, "is this number good", or wants a post-release review.
Interpret data, diagnose problems, recommend actions. Never just show numbers.
Read ~/.claude/skills/music/artist-profile.json first. Check active_release for post-release review timing.
Benchmark metrics by genre and platform, algorithm changes.
Work with whatever the artist shares (screenshots, numbers, descriptions): Spotify for Artists, Apple Music, Instagram Insights, TikTok Analytics, YouTube Studio, Bandcamp, email platform.
Always interpret in context. Examples:
Never say "looks good" or "looks bad" without specifics and next steps.
Trigger 2 weeks after release date: "It's been 2 weeks since {{title}}. Want to run a performance review?" Covers: stream trajectory, save rate, playlists, social growth, press, pre-save conversion, list growth.
Monthly dashboard, release post-mortem, quarterly review (load OKRs from profile).
Suggest: /music-releases to inform next release, /music-content to double down on what works, /music-fans for list health.