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Agent Skill · 音频生成

ai-music-generator-with-vocals(带人声的 AI 音乐生成器)

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。

ai-music-generator-with-vocals 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 229。

总安装 1,591周安装 65GitHub Stars 公开资料未说明下载 515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
1.0.0

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:ai-music-generator-with-vocals(带人声的 AI 音乐生成器)
来源仓库:https://github.com/tk8544-b/ai-music-generator-with-vocals
安装命令:
openclaw skills install ai-music-generator-with-vocals
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 ai-music-generator-with-vocals

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。

带人声的 AI 音乐生成器可将歌词转换为高清声乐视频。适合音乐创作者制作原创歌曲或合唱作品的视觉化内容。ai-music-generator-with-vocals 属于音频生成类 Skill,可作为该场景下的辅助能力补充。输入歌词主题和风格,自动合成人声并生成 1080p 同步视频。

需注意音源授权边界,避免使用受版权保护的人声样本。通过 clawhub 安装,集成于 OpenClaw 技能生态使用。

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 ai-music-generator-with-vocals;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

ai-music-generator-with-vocals 怎么安装?

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

ai-music-generator-with-vocals 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。

ai-music-generator-with-vocals 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。

ai-music-generator-with-vocals 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。

ai-music-generator-with-vocals 用的人多吗?

公开数据是累计安装 1,591 次,近一周安装 65 次,下载 515 次。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。

ai-music-generator-with-vocals 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
ai-music-generator-with-vocals

带人声的 AI 音乐生成器 · 本页

1,591—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
ai-music-generator-with-vocals
version
1.0.0
displayName
AI Music Generator with Vocals — Generate Songs with AI Vocals
description
>
metadata
{"openclaw": {"emoji": "🎵", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

Got text or lyrics to work with? Send it over and tell me what you need — I'll take care of the AI music generation.

Try saying:

  • "generate a 16-bar verse with chorus lyrics about summer into a 1080p MP4"
  • "generate a pop song with female vocals and upbeat instrumentation from these lyrics"
  • "generating original songs with AI vocals from text or lyrics for content creators, musicians, marketers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Music Generator with Vocals — Generate Songs with AI Vocals

Send me your text or lyrics and describe the result you want. The AI music generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 16-bar verse with chorus lyrics about summer, type "generate a pop song with female vocals and upbeat instrumentation from these lyrics", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter lyric inputs with clear structure produce more coherent vocal melodies.

Matching Input to Actions

User prompts referencing ai music generator with vocals, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export✅
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits✅
"status" / "状态" / "show tracks"→ §3.4 State✅
"upload" / "上传" / user sends file→ §3.2 Upload✅
Everything else (generate, edit, add BGM…)→ §3.1 SSE❌

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. Session — POST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"<lang>"}. Gives you a session_id.
  2. Chat (SSE) — POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. Upload — POST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
  4. Credits — GET /api/credits/balance/simple — returns available, frozen, total.
  5. State — GET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. Export — POST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-music-generator-with-vocals, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common Workflows

Quick edit: Upload → "generate a pop song with female vocals and upbeat instrumentation from these lyrics" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a pop song with female vocals and upbeat instrumentation from these lyrics" — concrete instructions get better results.

Max file size is 200MB. Stick to TXT, DOCX, MP3, WAV for the smoothest experience.

Export as MP4 for widest compatibility across social platforms and video editors.

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

84.79%
按下载量换算437

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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