Lastfm
Interact with the Last.fm music data API: lookup user listening history, get artist/album/track metadata, discover similar music via collaborative filtering, explore global and per-country charts, search by artist/album/track, manage tags, and scrobble listening events. Use when the user asks about music data, listening statistics, music recommendations, similar artists, charts, or wants to scrobble or love tracks.From its SKILL.md
npx -y skills add magnus919/agent-skills --skill lastfmAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Last.fm
Setup
export LASTFM_API_KEY="your_api_key_here"
# For write operations only:
export LASTFM_API_SECRET="your_api_secret"
export LASTFM_SESSION_KEY="your_session_key"
Get an API key at https://www.last.fm/api/account/create (free, requires a Last.fm account).
Essential Commands
User queries — "what am I listening to"
Configurable via LASTFM_USERNAME env var. Defaults to <username> if unset.
lastfm-cli user info <username> # Profile + stats
lastfm-cli user recent-tracks <username> --limit 10 # Recent listening
lastfm-cli user top-artists <username> --period 7day # Weekly top artists
lastfm-cli user top-tracks <username> --period overall # All-time faves
lastfm-cli user loved-tracks <username> # Loved tracks
lastfm-cli user friends <username> # Social graph
lastfm-cli user weekly-charts <username> # Available chart periods
Music Discovery — "what's similar to X"
lastfm-cli artist similar <artist> --limit 10 # Taste graph neighbors
lastfm-cli artist info <artist> # Bio, stats, tags
lastfm-cli artist top-tracks <artist> # Their most popular
lastfm-cli track similar <artist> "<track>" # Track-level similarity
lastfm-cli album info <artist> "<album>" # Tracklist, metadata
lastfm-cli tag top-artists <tag> # Genre browsing
Charts — "what's popular"
lastfm-cli chart top-artists --limit 20 # Global
lastfm-cli geo top-artists "Japan" --limit 20 # Per-country
lastfm-cli geo top-tracks "Germany" --limit 20
lastfm-cli tag top-tracks "electronic" --limit 15 # By genre tag
Search — "find that thing"
lastfm-cli artist search "Radiohead" # Find by name
lastfm-cli album search "OK Computer" # Find albums
lastfm-cli track search "Karma Police" # Find tracks
Write operations (require session auth)
lastfm-cli track scrobble "Artist" "Song" --album "Album"
lastfm-cli track now-playing "Artist" "Song"
lastfm-cli track love "Artist" "Song"
Auth flow (one-time setup)
# 1. Get a token
lastfm-cli auth get-token
# 2. User visits: https://www.last.fm/api/auth/?api_key=KEY&token=TOKEN
# 3. Exchange for session key
lastfm-cli auth get-session <token>
# → Set export LASTFM_SESSION_KEY=<key>
Reference Files
references/auth-flow.md— Full walkthrough for setting up write operation auth (scrobble, love, now-playing). Read this before attempting write operations.
Music Discovery Pipeline — "find me new stuff I'll like"
The core flow for turning liked tracks into recommendations:
-
Get user's top artists/tracks from Last.fm:
lastfm-cli user top-artists <username> --period 1month --limit 5 --json lastfm-cli user top-tracks <username> --period 1month --limit 10 --json lastfm-cli user loved-tracks <username> --json -
For each artist, find similar artists via Last.fm's collaborative filtering:
lastfm-cli artist similar "<artist>" --limit 5 --json -
For each track, find similar tracks for more granular recommendations:
lastfm-cli track similar "<artist>" "<track>" --limit 5 --json -
Cross-reference against what they've already scrobbled (recent-tracks) to filter out already-heard material.
-
Check against the user's own collection (via Radarr/Sonarr/jellyfin-cli or Spotify library) to see what's already in the library vs genuinely new discovery.
Using with --json for Machine Processing
# Pipe to jq for structured queries
lastfm-cli artist similar "Radiohead" --limit 5 --json | jq '.similarartists.artist[] | {name, match}'
# Get a user's all-time top artists with playcounts
lastfm-cli user top-artists <username> --period overall --limit 3 --json | jq '.topartists.artist[] | {name, playcount}'
# Find most popular tracks by a genre
lastfm-cli tag top-tracks "electronic" --limit 10 --json | jq '.tracks.track[] | {name, artist: .artist.name, listeners}'
Known Gotchas
- API key required for EVERY request. The key is free — get one at the Last.fm API account page.
- Rate limit is ~5 req/sec sustained. The API docs say "be reasonable" — if you're making several calls per second continuously, your account may be suspended. Add small delays in loops.
- User-Agent header matters. The CLI sends
lastfm-cli/1.0 (hermes-agent). Last.fm's docs explicitly ask for an identifiable User-Agent. - XML is the default response format. The CLI requests
format=json. Without it, responses come back as XML. - Artist names can be misspelled. Use
--autocorrectflag on artist commands to let Last.fm correct misspellings. - Write operations need auth setup. scrobble, love, and now-playing require a full auth flow (token → session key). Read-only endpoints don't.
- The collaborative filtering graph is NOT social.
artist.getSimilarreturns algorithmic similarity based on aggregate listening patterns, not human-curated recommendations. - Timestamps for scrobbles are UNIX epoch seconds. If omitted, uses current time.
--fromand--toon recent-tracks accept ISO 8601 date strings (e.g.,2026-05-27).- Period values:
overall,7day,1month,3month,6month,12month.
When to Reach for This Tool
- User asks "what's [person] listening to lately?"
- User wants music discovery: "find me artists similar to..."
- User wants listening statistics: top artists, tracks, albums by period
- User wants geographic music trends: "what's popular in [country]"
- User wants genre exploration via tags
- User wants to scrobble or love tracks programmatically
- Any question about music metadata, artist info, album tracklists
What ships with it: 4 files
9.8 KB alongside SKILL.md, 2 of them executable
references/
- auth-flow.md2.5 KB
scripts/
- lastfm-cliruns4.2 KB
- test-lastfm.shruns2.0 KB
- README.md1.1 KB