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Agent Skill · 研究检索

voice-ai-integration(语音 AI 集成)

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-ai-integration 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 21,311。

总安装 4,896周安装 204GitHub Stars 8下载 1,632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-ai-integration(语音 AI 集成)
来源仓库:https://github.com/shengwang-community/skills
仓库路径:skills/voice-ai-integration
安装命令:
npx skills add https://github.com/shengwang-community/skills --skill voice-ai-integration
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/shengwang-community/skills --skill voice-ai-integration

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

辅助音频处理和语音合成,支持配乐说明和配音素材管理。适合生成语音提示词、调用语音工具或处理播客内容。需确认输入音频来源、输出格式和模型时长限制。涉及人声克隆或版权音乐时,应核对授权和合规边界。公开发布前需检查内容真实性和版权合法性。

voice-ai-integration 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/voice-ai-integration

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/shengwang-community/skills --skill voice-ai-in…;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

    它需要调用外部服务,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-ai-integration 怎么安装?

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

voice-ai-integration 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-ai-integration 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

voice-ai-integration 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-ai-integration 用的人多吗?

公开数据是累计安装 4,896 次,近一周安装 204 次,下载 1,632 次,GitHub 8 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-ai-integration 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
voice-ai-integration

语音 AI 集成 · 本页

4,8968调用外部服务未明确有提醒

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

Shengwang Integration

Workflow

Step 0: Ensure doc index exists (MANDATORY)

⚠️ Execute this BEFORE any routing or code generation.

Check if references/docs.txt already exists. If it does, skip this step entirely. If it does not exist, download it:

bash skills/voice-ai-integration/scripts/fetch-docs.sh

This downloads a static doc index from doc.shengwang.cn — no user data is sent. If download fails, proceed with local reference docs and fallback URLs.

Step 1: Route to the correct product module

Progressive disclosure rule: Only read the file that the current step points to. Do not scan the references/ directory or pre-read files that have not been linked from the current step. Each product module's README.md will tell you which files to read next and when. If a file is not referenced by the document you are currently reading, do not open it.

Match the user's request to a product module using the route table. If the match is clear, route directly — do not ask extra questions.

Route Table
User intentRoute to
Credentials, AppID, REST authgeneral
Generate Token, token server, AccessToken2token-server
ConvoAI voice agent workconversational-ai
RTC SDK integrationrtc
RTM messaging / signalingrtm
Cloud Recordingcloud-recording
Download SDK, sample project, GitHub repoRoute to the relevant product module above
Product Recognition Aid

When the user describes a use case without naming a product, use this to infer the match:

ProductWhat it doesTypical user says
ConvoAIAI voice agent (ASR→LLM→TTS over RTC)"AI语音", "voice bot", "对话式AI", "AI agent", "AI 客服"
RTC SDKReal-time audio/video between humans"视频通话", "直播", "video call", "live streaming"
RTMReal-time messaging / signaling"聊天", "消息", "chat", "signaling"
Cloud RecordingRecord RTC sessions server-side"录制", "recording", "存档", "回看"
Token generationGenerate RTC / RTM tokens"token", "鉴权", "token server"
Common Combinations
Use caseProducts needed
AI voice assistantConvoAI (primary) + RTC SDK (client)
AI voice assistant + chat historyConvoAI + RTC SDK + RTM
1v1 / group video callRTC SDK
Video call + chatRTC SDK + RTM
Live streaming with recordingRTC SDK + Cloud Recording
Record AI conversationsConvoAI + RTC SDK + Cloud Recording
Chat / messaging onlyRTM
Routing Rules
  • Infer obvious context — do not ask if the answer is already clear
  • Do not ask product-specific configuration questions (providers, SDK versions, project structure) at this level; let the product module handle those
  • If the product is clear but the request mode is ambiguous (quickstart vs debugging vs feature), let the product module decide internally
  • If multiple products are needed, route to the primary product first, then address supporting products in order
  • ConvoAI has the most detailed internal routing (see its README.md); always delegate ConvoAI-specific decisions to its module
When the product is still unclear

If the route table and recognition aid above are not enough to determine the product:

  1. Ask only for the missing detail that would change the routing decision
  2. Ask at most one question at a time
  3. Prefer natural wording over an interview script
  4. Once the product is clear, produce a short routing recap and continue:

ZH:

已了解的信息
─────────────────────────────
场景:          [use case]
主要产品:      [primary product]
配套产品:      [supporting products / 无]
─────────────────────────────

EN:

What I have so far
─────────────────────────────
Use case:       [use case]
Primary:        [primary product]
Supporting:     [supporting products / none]
─────────────────────────────

Do not stop for a separate confirmation step — continue to the product module automatically.

Step 2: Let the product module drive implementation

Each product module follows its own workflow. Do not duplicate implementation logic here.

Common pattern across modules:

  1. Use local reference docs in references/ first
  2. Fetch remote docs via doc-fetching.md only when local references are insufficient
  3. Fallback to web search only after doc fetching has been attempted

Runtime Requirements

  • bash and curl for local doc-fetch helper scripts
  • git for sample-repo inspection when the sample-aligned path is chosen
  • Network access to doc.shengwang.cn, doc-mcp.shengwang.cn, and gitee.com

Network behavior:

  • fetch-docs.sh downloads a static file from doc.shengwang.cn/llms.txt — no user data is sent
  • fetch-doc-content.sh fetches a single doc page by URI from doc-mcp.shengwang.cn — only the doc URI is sent, no user context
  • git clone is used only for sample repo inspection from gitee.com — only the repo URL is sent

Credential and service-activation requirements vary by product — see each product module and general/credentials-and-auth.md for details. Never hardcode credentials.

Safety & Consent Rules

  • Do not clone external repos into the user's main workspace by default — prefer a temporary path
  • Do not modify an existing user project until the user explicitly asks for code generation
  • Do not write secrets into project files — prefer env vars and example placeholders
  • Before performing network fetches or repo clones, state what will be downloaded
  • If a required dependency or credential is missing, stop and explain the blocker

Download Rules

  • Use git clone --depth 1 <url> with HTTPS repo root URLs only
  • On any download failure: report the error, provide the URL for manual download, never silently skip

Links

平台分布

Codex

37.73%
按下载量换算616

Claude

27.79%
按下载量换算454

Cursor

19.07%
按下载量换算311

Gemini CLI

9.5%
按下载量换算155

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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