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Agent Skill · 待分类

voice-generation(语音生成)

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。

voice-generation 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 6,800。

总安装 420周安装 17GitHub Stars 10下载 132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
unknown

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:voice-generation(语音生成)
来源仓库:https://github.com/michaelboeding/skills
仓库路径:skills/voice-generation
安装命令:
npx skills add https://github.com/michaelboeding/skills --skill voice-generation
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/michaelboeding/skills --skill voice-generation

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于语音内容生成与音频制作支持,适用于多场景声音素材创建。可协助 Agent 完成语音合成、配乐说明编写及音频流程设计。通过 GitHub 仓库安装,兼容主流 AI 代码宿主平台。涉及公开发布或商用时,应核实模型输出是否符合版权与授权要求。

voice-generation 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/voice-generation

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/michaelboeding/skills --skill voice-generation;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

voice-generation 怎么安装?

在终端执行 npx skills add https://github.com/michaelboeding/skills --skill voice-generation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

voice-generation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

voice-generation 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。

voice-generation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

voice-generation 用的人多吗?

公开数据是累计安装 420 次,近一周安装 17 次,下载 132 次,GitHub 10 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。

voice-generation 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

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。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
voice-generation

语音生成 · 本页

42010接触敏感数据未明确通过

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

Voice Generation Skill

Generate realistic speech using AI (Google Gemini TTS, ElevenLabs, OpenAI TTS).

Prerequisites

At least one API key is required:

  • GOOGLE_API_KEY - For Google Gemini TTS (same key as video/image/music) ✅
  • ELEVENLABS_API_KEY - For ElevenLabs high-quality voice synthesis
  • OPENAI_API_KEY - For OpenAI TTS voices

Available APIs

Google Gemini TTS (Recommended - Same API Key)

  • Best for: Podcasts, dialogues, audiobooks with style control
  • Voices: 30 voices with natural language style control
  • Multi-speaker: Up to 2 speakers for dialogues ✅
  • Languages: 24 languages (auto-detected)
  • Features: Control style, accent, pace via prompts
  • Output: 24kHz WAV
  • API Key: Same GOOGLE_API_KEY as video/image/music ✅

ElevenLabs (Best Quality)

  • Best for: Natural-sounding voices, voice cloning, long-form content
  • Voices: 100+ pre-made voices + custom voice cloning
  • Languages: 29+ languages
  • Models: Eleven Multilingual v2, Eleven Turbo v2

OpenAI TTS (Simplest)

  • Best for: Quick, reliable text-to-speech with consistent quality
  • Voices: alloy, echo, fable, onyx, nova, shimmer
  • Models: tts-1 (fast), tts-1-hd (high quality)
  • Output: MP3, Opus, AAC, FLAC

Workflow

Step 1: Understand the Request

Parse the user's voice request for:

  • Text content: What should be spoken?
  • Voice type: Male, female, specific character?
  • Tone: Professional, casual, dramatic, cheerful?
  • Use case: Narration, voiceover, audiobook, notification?
  • Language: English, Spanish, other?
  • Speed: Normal, slow, fast?

Step 2: Select Voice and API

Choose based on requirements:

Use CaseRecommended APIReason
Default / Same key as videoGemini TTSSame GOOGLE_API_KEY ✅
Multi-speaker dialogueGemini TTSUp to 2 speakers built-in
Style/accent controlGemini TTSNatural language prompts
Voice cloningElevenLabsOnly API with cloning
100+ voice optionsElevenLabsWidest selection
Audiobook/podcastElevenLabs or GeminiBoth excellent for long content
Quick narrationOpenAI TTSFast, reliable
Budget-consciousOpenAI TTSLower cost

Step 3: Prepare the Text

Optimize text for speech:

  1. Add pauses: Use commas, periods for natural rhythm
  2. Spell out numbers: "1,234" → "one thousand two hundred thirty-four" (if needed)
  3. Handle acronyms: "NASA" vs "N.A.S.A." depending on pronunciation
  4. Mark emphasis: Some APIs support emphasis markers

Example transformation:

  • Original: "The Q4 2024 results show a 15% YoY increase."
  • Optimized: "The Q4 2024 results show a fifteen percent year-over-year increase."

Step 4: Generate the Audio

Execute the appropriate script from ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/:

For Google Gemini TTS (single speaker):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/gemini_tts.py \
  --text "Welcome to our podcast!" \
  --voice "Charon"

Gemini TTS with style direction:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/gemini_tts.py \
  --text "Have a wonderful day!" \
  --voice "Puck" \
  --style "Say cheerfully with a British accent:"

Gemini TTS multi-speaker (dialogue):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/gemini_tts.py \
  --multi \
  --speaker "Host:Charon" \
  --speaker "Guest:Aoede" \
  --text "Host: Welcome to the show!
Guest: Thanks for having me!"

For ElevenLabs:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/elevenlabs.py \
  --text "Your text here" \
  --voice "Rachel" \
  --model "eleven_multilingual_v2"

For OpenAI TTS:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/openai_tts.py \
  --text "Your text here" \
  --voice "nova" \
  --model "tts-1-hd"

List Gemini voices:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/voice-generation/scripts/gemini_tts.py --list-voices

Step 5: Deliver the Result

  1. Provide the generated audio file path
  2. Mention the voice and settings used
  3. Offer to:

- Try a different voice - Adjust speed or tone - Use a different API - Generate in a different format

Error Handling

Missing API key: Inform the user which key is needed:

Gemini TTS requires google-genai package: pip install google-genai

Text too long: Split into chunks and concatenate, or suggest shorter text.

Rate limit: Suggest waiting or trying a different API.

Unsupported language: Suggest an alternative API that supports the language.

Multi-speaker limit: Gemini TTS supports max 2 speakers. For more, use ElevenLabs with multiple calls.

Voice Selection Guide

Google Gemini TTS Voices (30 voices)

StyleVoicesBest For
Bright/UpbeatZephyr, Puck, Aoede, LaomedeiaMarketing, cheerful content
Firm/InformativeCharon, Kore, Orus, RasalgethiNews, tutorials, professional
Soft/WarmAchernar, Sulafat, VindemiatrixMeditation, gentle narration
SmoothAlgieba, Despina, CallirrhoeAudiobooks, storytelling
ClearErinome, Iapetus, PulcherrimaInstructions, clarity
CharacterFenrir (excitable), Enceladus (breathy), Algenib (gravelly), Gacrux (mature)Character voices, drama
FriendlyAchird, Zubenelgenubi (casual)Casual, conversational

Gemini TTS Style Tips:

  • Use natural language: --style "Say angrily:" or --style "Whisper mysteriously:"
  • Specify accents: --style "Speak with a British accent from London:"
  • Control pace: --style "Speak slowly and deliberately:"
  • Combine: --style "Say excitedly with a Southern US accent:"

OpenAI TTS Voices

VoiceDescriptionBest For
alloyNeutral, balancedGeneral purpose
echoWarm, conversationalPodcasts, casual
fableExpressive, BritishStorytelling
onyxDeep, authoritativeNarration, professional
novaFriendly, upbeatMarketing, tutorials
shimmerSoft, gentleMeditation, ASMR

ElevenLabs Popular Voices

VoiceDescriptionBest For
RachelYoung female, AmericanNarration, audiobooks
DomiYoung female, energeticMarketing, ads
BellaYoung female, softStorytelling
AntoniYoung male, well-roundedNarration
JoshYoung male, deepAudiobooks
ArnoldMature male, authoritativeDocumentary
AdamMiddle-aged male, deepNarration
SamYoung male, raspyCharacter voices

Best Practices

For Narration

  • Use a consistent voice throughout
  • Add natural pauses between paragraphs
  • Consider pacing for the content type

For Dialogue

  • Use different voices for different characters
  • Match voice characteristics to character descriptions
  • Adjust speed for emotional scenes

For Accessibility

  • Use clear, well-paced speech
  • Avoid overly stylized voices
  • Test with screen readers if applicable

API Comparison

FeatureGemini TTSElevenLabsOpenAI TTS
API KeyGOOGLE_API_KEY ✅ELEVENLABS_API_KEYOPENAI_API_KEY
Voice qualityExcellentExcellentVery good
Voice variety30 voices100+ voices6 voices
Multi-speaker✅ Up to 2❌ No❌ No
Style control✅ Natural languageLimited❌ No
Voice cloning❌ No✅ Yes❌ No
Languages2429+50+
Speed controlVia promptsYesYes (0.25-4x)
Max length32k tokens5,000 chars4,096 chars
Output formatWAV (24kHz)MP3, WAVMP3, Opus, AAC, FLAC
Same key as video/image✅ Yes❌ No❌ No

平台分布

Codex

36.32%
按下载量换算48

Claude

30.5%
按下载量换算40

Cursor

19.37%
按下载量换算26

Gemini CLI

9.45%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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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