spotify-openclaw#

Full Spotify Premium control + music intelligence for OpenClaw.

Control playback, analyze your taste, and discover new music — all from chat. 100% local, no extra cloud services.

✨ What makes this different#

FeatureThis skillBasic Spotify skillsPlayback control✅ play/pause/next/prev/volume/shuffle/queue✅Auto-launch Spotify✅ opens app if closed, waits, plays❌Taste analysis✅ top tracks & artists × 3 time periods❌Genre profile✅ full genre breakdown❌Music discovery✅ works without blocked Recommendations API❌Liked songs search✅ filter by artist, count, stats❌One-command playlists✅ creates + fills in one command❌Multi-language✅ English + Russian voice triggers❌

📦 Requirements#

• macOS with Spotify Premium
• Free Spotify Developer app — developer.spotify.com/dashboard
• Python 3 + spotipy ( pip install spotipy)

⚙️ Setup (one-time)#

1. Create Spotify app at developer.spotify.com → add redirect URI: http://127.0.0.1:8888/callback

2. Store credentials in macOS Keychain:

bash

security add-generic-password -a openclaw -s openclaw.spotify.client_id -w "YOUR_CLIENT_ID"
security add-generic-password -a openclaw -s openclaw.spotify.client_secret -w "YOUR_CLIENT_SECRET"

3. Copy script to OpenClaw scripts folder:

bash

cp spotify.py ~/.openclaw/scripts/spotify.py

4. First auth (browser opens once, then token is cached):

bash

python3 ~/.openclaw/scripts/spotify.py now

⚡ Quick start#

bash

# Play something
python3 ~/.openclaw/scripts/spotify.py play "Massive Attack"

# What's playing now
python3 ~/.openclaw/scripts/spotify.py now

# Discover new music based on your taste
python3 ~/.openclaw/scripts/spotify.py discover

# Build this month's playlist (creates + fills in one command)
python3 ~/.openclaw/scripts/spotify.py make-playlist "Top March 2026" short 20

🎮 All Commands#

Playback#

bash

python3 ~/.openclaw/scripts/spotify.py play                    # resume
python3 ~/.openclaw/scripts/spotify.py play "track name"       # search & play
python3 ~/.openclaw/scripts/spotify.py play spotify:track:URI  # by URI
python3 ~/.openclaw/scripts/spotify.py pause
python3 ~/.openclaw/scripts/spotify.py next
python3 ~/.openclaw/scripts/spotify.py prev
python3 ~/.openclaw/scripts/spotify.py volume 70
python3 ~/.openclaw/scripts/spotify.py volume up / down
python3 ~/.openclaw/scripts/spotify.py shuffle on / off
python3 ~/.openclaw/scripts/spotify.py queue "track name"
python3 ~/.openclaw/scripts/spotify.py now
python3 ~/.openclaw/scripts/spotify.py devices

Analysis#

bash

python3 ~/.openclaw/scripts/spotify.py top-tracks [short|medium|long] [limit]
python3 ~/.openclaw/scripts/spotify.py top-artists [short|medium|long] [limit]
python3 ~/.openclaw/scripts/spotify.py genres [short|medium|long]
python3 ~/.openclaw/scripts/spotify.py recent [limit]
python3 ~/.openclaw/scripts/spotify.py liked [limit]
python3 ~/.openclaw/scripts/spotify.py liked-all
python3 ~/.openclaw/scripts/spotify.py liked-by-artist "Artist Name"
python3 ~/.openclaw/scripts/spotify.py playlists
python3 ~/.openclaw/scripts/spotify.py search "query" [track|artist|album] [limit]
python3 ~/.openclaw/scripts/spotify.py track-info URI

Periods: short = 4 weeks · medium = 6 months · long = all time

Discovery & Playlists#

bash

# Discover by genre profile
python3 ~/.openclaw/scripts/spotify.py discover

# Expand from artist (depth=hops, n=tracks per artist)
python3 ~/.openclaw/scripts/spotify.py discover "Portishead" 3 3

# Related artists
python3 ~/.openclaw/scripts/spotify.py related-artists "The Cure" 10

# Top tracks of any artist
python3 ~/.openclaw/scripts/spotify.py artist-top-tracks "Massive Attack" 5

# Create playlist from top tracks — one command, creates + fills
python3 ~/.openclaw/scripts/spotify.py make-playlist "Top March 2026" short 20

# Manage playlists
python3 ~/.openclaw/scripts/spotify.py create-playlist "My Playlist" "Description"
python3 ~/.openclaw/scripts/spotify.py add-to-playlist PLAYLIST_ID URI1 URI2

Note: Spotify's recommendations and audio_features APIs are blocked for new developer apps. This skill uses related_artists + artist_top_tracks for discovery instead — no workarounds needed.

💡 Agent tips#

• Chain related-artists → artist-top-tracks → add-to-playlist for smart discovery playlists
• Use liked-by-artist to build themed playlists from your library
• genres long gives the most accurate taste profile
• Use playlists to get playlist IDs before playing one

ALWAYS run python3 ~/.openclaw/scripts/spotify.py [cmd] — never respond with text only.