MiniMax Music Playlist — Personalized Playlist Generator

Scan the user's local music libraries to build a taste profile, then generate a personalized playlist using the MiniMax Music API.

Requires:

minimax-music-gen

skill installed at

~/.claude/skills/minimax-music-gen/

Workflow Overview

Scan music sources → Build taste profile → Plan playlist → Generate songs → Play & feedback

Language Detection

Detect the user's language from their message at the start of the session:

Chinese (中文) → Set
```
LANG=zh
```
— all interactions in Chinese, generate Chinese lyrics
English → Set
```
LANG=en
```
— all interactions in English, generate English lyrics

Pass

--lang $LANG

to generation and playback scripts (not scan scripts). Respond to the user in their detected language. Use the matching template below.

Step 1: Scan Music Sources

Scan available local music apps. Run whichever scanners are available — the skill works with any combination of sources.

Apple Music

bash

python3 ~/.claude/skills/minimax-music-playlist/scripts/scan_apple_music.py \
  --output /tmp/apple_music_data.json

The script uses

osascript

to query Music.app. It auto-filters TTS/test files. If Music.app is not running or has no library, the script outputs an empty result.

QQ Music

bash

python3 ~/.claude/skills/minimax-music-playlist/scripts/scan_qq_music.py \
  --output /tmp/qq_music_data.json

Reads QQ Music's SQLite database and preferences plist. Extracts songs, playlist assignments, and search history. If QQ Music is not installed, outputs empty result.

Spotify

bash

python3 ~/.claude/skills/minimax-music-playlist/scripts/scan_spotify.py \
  --output /tmp/spotify_data.json

Reads Spotify's local LevelDB cache, queries the running app via osascript, and scans the URL cache for API responses. If Spotify is newly installed, data may be sparse — the script warns about this. Data accumulates as the user listens more.

NetEase Cloud Music (网易云音乐)

bash

python3 ~/.claude/skills/minimax-music-playlist/scripts/scan_netease.py \
  --output /tmp/netease_data.json

Reads NetEase's webdata JSON files (tracks, FM queue, recommendations), Cache.db, and infers genre preferences from recommended playlist names and scene tags. The app uses a web-based architecture, so data is in

~/Library/Containers/com.netease.163music/Data/Documents/storage/

Other Music Apps

If the user has other apps (e.g., 酷狗, 酷我) not yet supported, tell them:

If LANG=zh:

目前支持扫描 Apple Music、QQ 音乐、Spotify 和网易云音乐。
如果你用其他平台，可以告诉我你喜欢的风格/艺术家，我手动加入画像。

If LANG=en:

Currently supported: Apple Music, QQ Music, Spotify, and NetEase Cloud Music.
If you use other platforms, tell me your preferred styles/artists and I'll add them to your profile manually.

Manual Input

If no music apps are available, or the user wants to supplement:

If LANG=zh:

🎵 告诉我你喜欢的音乐，我来帮你建画像：

💡 比如：
  · "我喜欢周杰伦、陶喆那种华语R&B"
  · "最近在听很多K-pop和日系city pop"
  · "偏好忧郁慢歌，不太听电子舞曲"

If LANG=en:

🎵 Tell me about your music taste, and I'll build a profile:

💡 For example:
  · "I like Jay Chou and David Tao style C-pop R&B"
  · "I've been listening to a lot of K-pop and Japanese city pop"
  · "I prefer melancholy ballads, not into EDM"

Step 2: Build Taste Profile

Merge all data sources into a unified taste profile:

bash

python3 ~/.claude/skills/minimax-music-playlist/scripts/build_taste_profile.py \
  --apple-music /tmp/apple_music_data.json \
  --qq-music /tmp/qq_music_data.json \
  --spotify /tmp/spotify_data.json \
  --netease /tmp/netease_data.json \
  --gen-history ~/Music/minimax-gen/ \
  --artist-map ~/.claude/skills/minimax-music-playlist/data/artist_genre_map.json \
  --lang $LANG \
  --output ~/.claude/skills/minimax-music-playlist/data/taste_profile.json

The script infers genres from artists using the artist-genre mapping table, computes weighted scores, and outputs a taste profile.

Show the user a privacy-safe summary — never expose raw track lists:

If LANG=zh:

🎵 你的音乐画像：
  📊 数据源：QQ音乐 145首 | Apple Music 42首 | Spotify 20首 | 网易云 15首 | 已生成 9首
  🎸 Top 风格：华语流行 35% | R&B 20% | K-pop 10% | 中国风 8%
  🌍 语言：中文 70% | 韩语 12% | 英语 10% | 日语 8%
  💭 情绪：忧郁 30% | 浪漫 25% | 温暖 20%
  🎤 声线：偏好男声 55% | 女声 40%
  🎵 Top 艺术家：周杰伦、陶喆、孙燕姿、王力宏、方大同

这个画像准确吗？(确认后开始生成歌单，或告诉我要调整什么)

If LANG=en:

🎵 Your Music Profile:
  📊 Sources: QQ Music 145 | Apple Music 42 | Spotify 20 | NetEase 15 | Generated 9
  🎸 Top styles: C-pop 35% | R&B 20% | K-pop 10% | Chinese-style 8%
  🌍 Languages: Chinese 70% | Korean 12% | English 10% | Japanese 8%
  💭 Moods: Melancholy 30% | Romantic 25% | Warm 20%
  🎤 Vocals: Male 55% | Female 40%
  🎵 Top artists: Jay Chou, David Tao, Stefanie Sun, Leehom Wang, Khalil Fong

Does this look right? (Confirm to generate playlist, or tell me what to adjust)

Profile caching

The taste profile is saved at:

~/.claude/skills/minimax-music-playlist/data/taste_profile.json

First time: Always scan and build
Subsequent calls: If a profile exists and is less than 7 days old, reuse it. Show the summary and ask if the user wants to rescan.
Force rescan: If the user says "重新扫描" or "rescan", delete and rebuild.

Step 3: Plan Playlist

Ask the user for a theme (optional):

If LANG=zh:

🎵 想要什么主题的歌单？

💡 比如：
  · "深夜放松" — 适合睡前的慢歌
  · "通勤路上" — 节奏轻快提神
  · "雨天" — 配合窗外的雨
  · "让我自己选" — 不指定主题，根据画像随机
  · 或者直接描述你想要的氛围

If LANG=en:

🎵 What theme for your playlist?

💡 Examples:
  · "Late night chill" — relaxing slow songs
  · "Commute" — upbeat and energizing
  · "Rainy day" — matching the rain outside
  · "Surprise me" — random based on your profile
  · Or just describe the vibe you want

If the user doesn't specify, use the top mood from their profile as default.

Generate the playlist plan:

bash

python3 ~/.claude/skills/minimax-music-playlist/scripts/generate_playlist.py \
  --profile ~/.claude/skills/minimax-music-playlist/data/taste_profile.json \
  --theme "<user theme>" \
  --count <number> \
  --lang $LANG \
  --output /tmp/playlist_plan.json

Show the full plan to the user for review:

If LANG=zh:

🎵 歌单计划：深夜放松 (5首)

  1. 华语R&B慢歌 — 忧郁, 内省 [中文/男声]
     Prompt: R&B, neo-soul, 忧郁, 内省, 温柔男声, 电钢琴, 贝斯, 慢板, 深夜独处

  2. K-pop 抒情 — 温暖, 浪漫 [韩语/女声]
     Prompt: K-pop, 流行, 温暖, 浪漫, 清澈女声, 合成器, 钢琴, 中板, 星空下

  3. 独立民谣 — 内省, 平静 [中文/男声]
     Prompt: 独立民谣, folk, 内省, 平静, 温柔男声, 原声吉他, 口琴, 慢板, 深夜独处

  4. Lo-fi hip-hop — 平静, 梦幻 [纯音乐]
     Prompt: lo-fi hip-hop, 平静, 梦幻, 采样钢琴, 电子鼓, vinyl crackle, 慢板, 深夜书桌

  5. 爵士 — 温暖, 浪漫 [英语/女声]
     Prompt: smooth jazz, bossa nova, 温暖, 浪漫, 清澈女声, 钢琴, 贝斯, 萨克斯, 中板

确认生成？(直接回车确认，或告诉我要调整哪首)

If LANG=en:

🎵 Playlist Plan: Late Night Chill (5 songs)

  1. C-pop R&B Ballad — melancholy, introspective [Chinese/male vocal]
     Prompt: R&B, neo-soul, melancholy, introspective, gentle male voice, electric piano, bass, slow tempo, late night solitude

  2. K-pop Ballad — warm, romantic [Korean/female vocal]
     Prompt: K-pop, pop, warm, romantic, clear female voice, synth, piano, mid-tempo, under the stars

  3. Indie Folk — introspective, calm [Chinese/male vocal]
     Prompt: indie folk, folk, introspective, calm, gentle male voice, acoustic guitar, harmonica, slow tempo, late night solitude

  4. Lo-fi hip-hop — calm, dreamy [instrumental]
     Prompt: lo-fi hip-hop, calm, dreamy, sampled piano, electronic drums, vinyl crackle, slow tempo, late night desk

  5. Jazz — warm, romantic [English/female vocal]
     Prompt: smooth jazz, bossa nova, warm, romantic, clear female voice, piano, bass, saxophone, mid-tempo

Confirm? (press enter to confirm, or tell me which song to adjust)

The user can:

Confirm all → proceed to generation
Modify individual songs ("第3首换成摇滚")
Change count ("只要3首")
Regenerate plan ("换一批")

Step 4: Generate & Play (Stream Mode)

Generate songs sequentially. Play each song as soon as it's ready instead of waiting for all songs to finish. This gives the user music to listen to while the rest of the playlist is being generated.

Generation + Playback Loop

For each song in the plan:

instrumental: false

, generate lyrics first:

bash

python3 ~/.claude/skills/minimax-music-gen/scripts/generate_lyrics.py \
  --prompt "<lyrics_prompt from plan>" \
  --lang $LANG \
  --output /tmp/playlist_lyrics_<NN>.txt

Generate music (always

--no-play

during generation):

bash

python3 ~/.claude/skills/minimax-music-gen/scripts/generate_music.py \
  --prompt "<prompt from plan>" \
  --lyrics "<lyrics or empty>" \
  --output ~/Music/minimax-gen/playlists/<playlist_name>/<filename> \
  --lang $LANG \
  --no-play

Add --instrumental for instrumental tracks. Omit for vocal tracks.

After each song completes, decide whether to play it immediately:

Song 1 (first song): Always play immediately after generation. Use

play_music.py --background

so playback starts without blocking generation of the next song:

bash

python3 ~/.claude/skills/minimax-music-gen/scripts/play_music.py \
  ~/Music/minimax-gen/playlists/<playlist_name>/<filename> \
  --background --lang $LANG

Song 2+ (subsequent songs): Check if Music.app is idle (not playing). Use the

is_idle

check from

play_playlist.py

bash

python3 -c "
import subprocess
r = subprocess.run(['osascript', '-e',
  'tell application \"System Events\" to (name of processes) contains \"Music\"'],
  capture_output=True, text=True, timeout=5)
if r.stdout.strip() != 'true':
    print('idle')
else:
    s = subprocess.run(['osascript', '-e',
      'tell application \"Music\" to player state as string'],
      capture_output=True, text=True, timeout=5)
    state = s.stdout.strip().lower()
    print('idle' if 'playing' not in state else 'playing')
"

If idle → play this song immediately with
```
play_music.py --background
```
If playing → do NOT interrupt; the song is saved to disk and will be available for replay later. Show a note:

If LANG=zh:

💾 [2/5] 已保存，播放器正忙，稍后可重播

If LANG=en:

💾 [2/5] Saved, player busy — available for replay later

Show progress after each song:

If LANG=zh:

✅ [1/5] 生成完毕：01_bossa_nova.mp3
▶️  正在播放...
⏳ [2/5] 正在生成...

If LANG=en:

✅ [1/5] Complete: 01_bossa_nova.mp3
▶️  Now playing...
⏳ [2/5] Generating...

If generation fails for a song, log the error and continue with the next song.

When all songs complete:

If LANG=zh:

🎉 歌单「深夜放松」生成完毕！共 5 首

📁 文件：~/Music/minimax-gen/playlists/深夜放松/
  01_rnb_midnight.mp3
  02_kpop_stars.mp3
  ...

💡 重播整个歌单：告诉我「重播」

If LANG=en:

🎉 Playlist "Late Night Chill" complete! 5 songs

📁 Files: ~/Music/minimax-gen/playlists/late_night_chill/
  01_rnb_midnight.mp3
  02_kpop_stars.mp3
  ...

💡 Replay the full playlist: just say "replay"

Replaying existing playlists

For replaying a previously generated playlist, use the dedicated script:

bash

python3 ~/.claude/skills/minimax-music-gen/scripts/play_playlist.py \
  ~/Music/minimax-gen/playlists/<playlist_name>/ \
  --lang $LANG \
  --auto

Step 5: Save Playlist

Create a playlist metadata file:

~/Music/minimax-gen/playlists/<playlist_name>/playlist.json

Content:

json

{
  "name": "深夜放松",
  "theme": "深夜放松",
  "created_at": "ISO timestamp",
  "song_count": 5,
  "songs": [
    {
      "index": 1,
      "filename": "01_rnb_midnight.mp3",
      "prompt": "...",
      "lyrics": "...",
      "rating": null
    }
  ]
}

Step 6: Feedback & Profile Update

After listening, ask for feedback:

If LANG=zh:

🎵 这个歌单怎么样？

  对每首歌打分（可选）：
  1. 华语R&B慢歌 — 👍 / 👎 / 跳过
  2. K-pop 抒情 — 👍 / 👎 / 跳过
  ...

  或者整体评价：
  🎉 很满意！以后多来这种
  🔄 还行，某些方面可以调整
  🗑️ 不太喜欢，换个方向

If LANG=en:

🎵 How was this playlist?

  Rate each song (optional):
  1. C-pop R&B Ballad — 👍 / 👎 / skip
  2. K-pop Ballad — 👍 / 👎 / skip
  ...

  Or overall rating:
  🎉 Loved it! More like this
  🔄 Decent, but could adjust some things
  🗑️ Not my vibe, try a different direction

Based on feedback:

Per-song ratings: Update playlist.json with ratings. Extract prompt tags from liked/disliked songs and update taste_profile.json's feedback section.
Overall positive: Record the theme + genre combination as successful.
Needs adjustment: Ask what to change, regenerate specific songs.
Negative: Ask what went wrong, note disliked genres/moods in feedback.

Replaying Playlists

If the user asks to play a previously generated playlist:

bash

ls ~/Music/minimax-gen/playlists/

Show available playlists and play the selected one song by song.

Error Handling

Error	Action
No music apps installed	Guide to manual input mode
QQ Music DB locked	Suggest closing QQ Music and retrying
Apple Music not running	Try to launch via osascript, or skip
Spotify newly installed	Warn that data is sparse, suggest using app more
NetEase no track data	Data accumulates with usage, suggest browsing/playing
API timeout during generation	Retry once, then skip that song and continue
Generation fails for a song	Log error, continue with next song
No taste profile exists	Run scan first
Profile older than 7 days	Suggest rescan, but allow using old profile

Notes

Privacy: Never show raw track lists. Only show aggregated statistics (top genres, language percentages, top artists).
The artist_genre_map.json at
```
data/artist_genre_map.json
```
can be extended manually if the user's library has artists not in the map.
Generated playlists are saved alongside individual songs in
```
~/Music/minimax-gen/playlists/
```
.
The taste profile is persistent across sessions.
All scripts use Python stdlib only — no pip dependencies.

Reuses

generate_lyrics.py

generate_music.py

play_music.py

from

~/.claude/skills/minimax-music-gen/scripts/

minimax-music-playlist

NPX Install

Tags

SKILL.md Content

MiniMax Music Playlist — Personalized Playlist Generator

Workflow Overview

Language Detection

Step 1: Scan Music Sources

Apple Music

QQ Music

Spotify

NetEase Cloud Music (网易云音乐)

Other Music Apps

Manual Input

Step 2: Build Taste Profile

Profile caching

Step 3: Plan Playlist

Step 4: Generate & Play (Stream Mode)

Generation + Playback Loop

Add --instrumental for instrumental tracks. Omit for vocal tracks.

When all songs complete:

Replaying existing playlists

Step 5: Save Playlist

Step 6: Feedback & Profile Update

Replaying Playlists

Error Handling

Notes