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Agent Skill · 音频生成

musicful-music-generator(音乐发生器)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

musicful-music-generator 是音频生成类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在音频生成类的 283 个 Skill 里排第 29。

总安装 15,377周安装 625GitHub Stars 4下载 5,050核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:musicful-music-generator(音乐发生器)
来源仓库:https://github.com/boner-bbb/musicful-music-generator
安装命令:
openclaw skills install musicful-music-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install musicful-music-generator

这个 Skill 是做什么的

音频生成类 Skill 处理配音、配乐和音频素材的生成与转换。

单句自然语言生成 AI 音乐或歌词的智能系统。自动区分人声歌曲与纯器乐 BGM 类型进行处理。适合快速原型开发与创意激发场景使用。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。生成内容版权归属需依据服务商条款确认。

musicful-music-generator 属于音频生成类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install musicful-music-generator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

musicful-music-generator 怎么安装?

在终端执行 openclaw skills install musicful-music-generator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

musicful-music-generator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

musicful-music-generator 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

musicful-music-generator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

musicful-music-generator 用的人多吗?

公开数据是累计安装 15,377 次,近一周安装 625 次,下载 5,050 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

musicful-music-generator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理音频生成类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

音频生成类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
music-cog

音乐齿轮 · OpenClaw

121,1044需要联网MIT-0通过
elevenlabs-music

十一实验室音乐 · OpenClaw

108,6181接触敏感数据MIT-0通过
music-generation

音乐一代 · OpenClaw

100,1385需要联网MIT-0有提醒
ace-music

王牌音乐 · OpenClaw

95,8682接触敏感数据MIT-0有提醒
mcp-applemusic

MCP applemusic 音频 · OpenClaw

79,3893调用外部服务MIT-0有提醒
musicful-music-generator

音乐发生器 · 本页

15,3774接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
music-generator
description
|
author
Musicful

Music Generator Skill (Full SOP)

Capability Overview

This skill supports the following intents: 1) Generate a full song with lyrics 2) Generate pure background music (BGM) 3) Generate lyrics only (no audio) 4) Query music generation task status

Users can describe the music they want in plain language. The system auto-determines the mode and handles parameter inference and task tracking.


Triggers and Natural Language Examples

The following natural language requests will trigger this skill:

  • Generate a romantic love song
  • Write lyrics about the night sky
  • Create electronic music suitable for short‑video background
  • Check my music generation progress
  • I want a cheerful background music track

Execution (SOP Step‑by‑Step)

Preflight Check (Mandatory)

  • Read MUSICFUL_API_KEY from the skill folder’s .env (resolved at runtime via the running script path): <skill_root>/.env

- If not configured (empty/missing), immediately inform the user: - "MUSICFUL_API_KEY is not configured. Please visit https://www.musicful.ai/api/authentication/interface-key/ to obtain/purchase an interface key, then write the KEY into <skill_root>/.env under MUSICFUL_API_KEY." - Stop subsequent calls and wait for the user to complete configuration before continuing.

The execution flow is intent‑based and incorporates a two‑stage return and a "lyrics‑first" UX:

  • Single command entry: /music_generator, with mode branch control:

- mode=normal (default): generate and show lyrics → submit generation → return preview (status=2) → return final (status=0) - mode=bgm: pure music (instrumental=1), no lyrics → preview first → then final - mode=lyrics: return lyrics text immediately

  • When using the "custom lyrics" path (built into the normal flow or future extensions): submit generation

directly and poll (preview first, then final)


Scenario A: Generate a Full Song with Lyrics

Typical user inputs:

  • Generate a romantic electronic song
  • Write a sad rock song and generate audio
  • Here are some lyrics, please use them to create the song: [...user‑provided lyrics...]

Detailed Flow

Step 1: Intent Recognition

  • If the user provides complete lyrics, treat it as lyrics‑provided generation;
  • Otherwise, assume lyrics need to be generated automatically and then used to synthesize the song.

Step 2: Lyrics Handling

  • If lyrics are provided → use them directly;
  • If not provided → call the V1 Lyrics API to generate lyrics content;

Step 3: Submit Music Generation Task

  • POST {BASE_URL}/v1/music/generate
  • body: { action: "custom", lyrics: "<lyrics>", style: "<inferred from user>", mv: "<default to latest high‑quality model>" }

Step 4: Automatic Task Polling (Two Stages)

  • GET {BASE_URL}/v1/music/tasks?ids=<task_id[,task_id2,…]>
  • Status semantics (key):

- status = 2 → preview stage complete (returns audio_url as preview link) - status = 0 → full audio complete (returns audio_url as downloadable final link) - others → processing or failed (use fail_code/fail_reason)

  • Polling strategy:

1) On first status=2: immediately announce "preview is ready" and return audio_url for listening; 2) Continue polling until status=0: then return "final audio is ready" with audio_url (download/publish).

Step 5: Return Results to the User (Two‑Stage × Two Songs)

  • The system by default generates two songs/two task_ids (e.g., ids=[id1,id2]). For each id, perform the

two‑stage return independently: - Stage 1: when this id reaches status=2 → return the preview link (audio_url) - Stage 2: keep polling this id → when status=0 → return the full mp3 download link (audio_url)

  • Recommended output format (one block per song):

- title: <title> - prompt: <original user description> - lyrics: <full lyrics for lyric mode; empty for BGM> - preview: <preview link (status=2)> - full: <final mp3 (status=0)>


Scenario B: Generate Pure Background Music

:white_check_mark: Typical user inputs:

  • Generate a piece of pure background music
  • I want an electronic instrumental suitable for video background

Detailed Flow

Step 1: Intent Recognition

  • Detect semantics like "pure music/background music/accompaniment" → enter the pure BGM flow.

Step 2: Submit Music Generation Task

  • POST {BASE_URL}/v1/music/generate
  • body: { action: "auto", style: "<inferred from user>", mv: "<default latest model>", instrumental: 1 }

Step 3: Automatic Task Polling (Two Stages)

  • Same as Scenario A: status=2 → preview; status=0 → full

Step 4: Return Preview & Final Links (Two Steps)

  • Stage 1: preview link (status=2)
  • Stage 2: final link (status=0)

Scenario C: Generate Lyrics Only

:white_check_mark: User inputs:

  • Write lyrics about a summer beach
  • I only need lyrics, about a rainy day

Process

  • POST {BASE_URL}/v1/lyrics body: { prompt: "<user description>" }
  • Return: { lyrics: "<AI‑generated lyrics>" }

Scenario D: Query Music Generation Task Status

:white_check_mark: User inputs:

  • Check the progress of task_id=abc123
  • See how far my song generation has progressed

Detailed Flow

  1. Extract task_id from the user input;
  2. GET {BASE_URL}/v1/music/tasks?ids=<task_id>
  3. Return task status and audio information.

Parameter Inference Rules

ParameterSourceDefault/Notes
styleInferred from user inputDefault to Pop/general if none
mvDefault high‑qualityPrefer latest high‑quality
instrumentalSet to 1 for BGMOtherwise 0
lyricsUser‑provided / auto—
titleInferred or auto‑named—
BASE_URL and API Key: - MUSICFUL_BASE_URL (default: https://api.musicful.ai) - MUSICFUL_API_KEY (read from the skill folder’s .env; environment variable MUSICFUL_API_KEY is also honored if set) - Entry points: scripts/musicful_api.py, CLI: scripts/run_musicful.py / scripts/dispatch_music_generator.py - Important: ensure MUSICFUL_API_KEY is configured before calling; if missing, the server may respond with HTTP 500 (helps pinpoint auth/config issues quickly).

Error Handling and Fallback

  1. If the request is unclear (e.g., "generate music" without clarifying lyrics vs BGM) → ask a follow‑up;
  2. If the API call fails → return clear failure reason and suggestions;
  3. If polling times out → prompt the user to wait or retry.

Unified Return Format

Success:

{ "status": "success", "data": { ... } }

Error:

{ "status": "error", "message": "<reason>" }

Example Dialogues

  • User: Generate a sad rock song
  • Skill: Shows generated lyrics → submits job → returns preview link → returns full mp3 link
  • User: An ambient BGM for a quiet night
  • Skill: Submits job (instrumental=1) → returns preview → returns full
  • User: Write lyrics about the night sky
  • Skill: Returns generated lyrics

适合场景

01

生成背景音乐

02

生成歌曲或旋律

03

视频和播客配乐

04

社媒内容音频素材

能力概览

能力 1

调用音乐生成模型

能力 2

支持文本到音乐或歌曲生成

能力 3

提供 CLI 示例和使用场景

能力 4

适合音频内容工作流

平台分布

OpenClaw

77.8%
按下载量换算3,929

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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