
Music Generation
Generates a song or instrumental track from a style prompt and optional lyrics.
Install
npx skills add bytedance/deer-flow --skill music-generation -g -a claude-code -y- Repository
- bytedance/deer-flow84.8k
- Category
- Media
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 752 tokens
- Runs scripts
- Yes, review before use
What it does
Use this skill when the user requests to generate, create, compose, or produce music or songs, background music, theme songs, jingles, or instrumental tracks. Generates a song from a style/mood prompt and optional lyrics via the MiniMax music API.
Music Generation Skill
Overview
This skill generates songs (vocal or instrumental) from a structured JSON spec using the
MiniMax music generation API (/v1/music_generation). You describe the style/mood/scene in
prompt, optionally provide lyrics, and the script returns an MP3.
Workflow
Step 1: Understand Requirements
Identify the desired style, mood, scene, language, and whether the user wants vocals or a pure instrumental track. Decide whether to supply lyrics or let the model write them.
Step 2: Create the Spec JSON
Write a JSON file in /mnt/user-data/workspace/ named {descriptive-name}.json:
{
"title": "Rainy Night Cafe",
"prompt": "indie folk, melancholic, introspective, walking alone, cafe",
"lyrics": "[verse]\nStreetlights glow the night wind sighs\n[chorus]\nPush the wooden door warm air inside"
}
Fields:
title(optional): a human-readable name.prompt(required): style, mood, and scene. Drives the musical character.lyrics(optional): song lyrics. Use\nbetween lines and structure tags such as[Intro],[Verse],[Pre Chorus],[Chorus],[Bridge],[Outro].is_instrumental(optional, bool): settruefor a pure instrumental track (no lyrics needed).
Behavior:
lyricsprovided → those lyrics are sung.is_instrumental: true→ instrumental, no vocals.- neither → the model auto-writes lyrics from
prompt(lyrics_optimizer).
Step 3: Execute Generation
python /mnt/skills/public/music-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/rainy-night-cafe.json \
--output-file /mnt/user-data/outputs/rainy-night-cafe.mp3
Parameters:
--prompt-file: Absolute path to the JSON spec (required).--output-file: Absolute path for the output MP3 (required).
[!NOTE] Do NOT read the python file, just call it with the parameters.


