recoup-research-playlist-targets

v2026.09.24

Find which playlists an artist or whole catalog should target and where the placement gaps are — catalog-wide playlist strategy from research data. Use for "which playlists should we target", "placement gaps", "editorial vs algorithmic", or "which catalog tracks to push". This is desk strategy from data; to pitch ONE song from its audio use recoup-song-placement-pitch.

GitHub
安装命令
npx skhub add recoupable/recoup-research-playlist-targets
Markdown
SKILL.md

Recoup Research — Playlist Targets

Catalog-wide playlist strategy from research data (not one audio file).

export RECOUP_API="https://api.recoupable.dev/api"   # auth header: x-api-key: $RECOUP_API_KEY

Procedure

  • /playlists?artist={ARTIST}&status=current for placements; status=past for re-pitch opportunities.
  • /similar → /playlists on each peer → playlists hosting 2+ peers you're NOT on are the warmest targets (the gap analysis).
  • /track/playlists?id={track_id}&editorial=true (5 credits) for per-track editorial coverage.
  • /metrics (playlists_editorial_current) to judge editorial vs algorithmic balance.

Answer: target playlists (ranked, warmest first), placement gaps, editorial vs algorithmic, and which catalog tracks to push. Full chains in references/workflows.md (Playlist Pitching Intelligence, Catalog Optimization).

Guardrails

  • No invented placements. followers_total is a formatted string ("34.3M") — parse it if sorting numerically.
  • Credits: surface checkoutUrl on insufficient_credits.

References

  • references/workflows.md — playlist pitching + catalog optimization chains.
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

NOASSERTION

源路径

skills/recoup-research-playlist-targets

默认分支

main

最新提交

943ef55

Tree SHA

85628a9