Music Generation logo

Music Generation

OrganizationPopular
bytedance
music-generation

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.

Overview

Publisherbytedance
Repositorydeer-flow
Skill namemusic-generation
Stars
82.6K
Forks
11.4K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bytedance on GitHub. Read the source before you install it.

Installation

Install the Music Generation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bytedance/deer-flow.git /tmp/deer-flow
mkdir -p .claude/skills
cp -r /tmp/deer-flow/skills/public/music-generation .claude/skills/music-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Music Generation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Music Generation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Music Generation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

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 \n between lines and structure tags such as [Intro], [Verse], [Pre Chorus], [Chorus], [Bridge], [Outro].
  • is_instrumental (optional, bool): set true for a pure instrumental track (no lyrics needed).

Behavior:

  • lyrics provided → those lyrics are sung.
  • is_instrumental: true → instrumental, no vocals.
  • neither → the model auto-writes lyrics from prompt (lyrics_optimizer).

Step 3: Execute Generation

bash
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.

Environment

  • MINIMAX_API_KEY (required): your MiniMax interface key.
  • MINIMAX_API_HOST (optional): default https://api.minimaxi.com.
  • MINIMAX_MUSIC_MODEL (optional): default music-2.6-free (works for all API-key users); paid/Token-Plan users can set music-2.6 for higher limits.

Output Handling

  • Music is saved as MP3 (typically in /mnt/user-data/outputs/).
  • Share the generated file with the user using the present_files tool.
  • Offer to iterate on style or lyrics if adjustments are needed.

Notes

  • Keep prompt focused on style/mood/scene; put the actual sung words in lyrics.
  • For non-English songs, write lyrics in the target language.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Music Generation AI skill do?

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.

Why use Music Generation on TypingMind?

Because you install it once and use it with any model. Music Generation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Music Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bytedance/deer-flow/tree/main/skills/public/music-generation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Music Generation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Music Generation?

As many as you like. As long as a model supports skills, you can use Music Generation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Music Generation AI skill free?

Yes. It is published on GitHub by bytedance under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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