From recoup-songs
Turn a song's audio into playlist and editorial pitch materials using Recoup's audio language model (Music Flamingo). Use when asked to "write a playlist pitch", "pitch this to Spotify", "what playlists does this fit", "make a DSP pitch from this audio", or "give me positioning for this single". Needs a public audio URL.
How this skill is triggered — by the user, by Claude, or both
Slash command
/recoup-songs:recoup-song-playlist-pitchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Convert a track into a Spotify/editorial pitch plus the positioning notes a team
Convert a track into a Spotify/editorial pitch plus the positioning notes a team needs to place it.
The endpoint contract (auth, base URL, request/response, presets, call patterns,
gotchas) is in references/flamingo-api.md. Read it before calling.
For a sync/licensing brief instead, use recoup-song-sync-brief.
playlist_pitchsong_description, audience_profile, similar_artists,
mood_tagscatalog_metadata for factual grounding (genre/BPM/key)audio_url (no local file upload).playlist_pitch; add the supporting presets the pitch needs.If inside an artist workspace, save to songs/{song-slug}/analysis/playlist-pitch.md
and surface suggested updates to the release doc's narrative, marketing, and DSP
sections rather than editing them silently.
account_id in the body.references/flamingo-api.md — auth, base URL, request/response, preset table,
call patterns, gotchas.npx claudepluginhub recoupable/skills --plugin recoup-skillsSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.