Token导航 LogoToken导航

Agent Skill · 研究检索

voice(voice 开发)

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 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,权限为接触敏感数据;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 31,516。

总安装 2,688周安装 112GitHub Stars 公开资料未说明下载 896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(voice 开发)
来源仓库:https://github.com/adriancooney/agent-voice
仓库路径:skills/voice
安装命令:
npx skills add https://github.com/adriancooney/agent-voice --skill voice
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/adriancooney/agent-voice --skill voice

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。

voice 技能用于启动语音对话会话,模拟电话通话体验,适合用户不查看屏幕仅听语音交互的场景。适用于需要语音转文字、实时对话或音频反馈的任务,如播客制作、语音助手开发。会话在激活后立即开始,结束时需用户主动终止,之后恢复文本交互。使用前请确认麦克风权限、音频输入源及是否涉及隐私数据合规问题。

voice 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

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/adriancooney/agent-voice --skill voice;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 怎么安装?

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

voice 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 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 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 用的人多吗?

公开数据是累计安装 2,688 次,近一周安装 112 次,下载 896 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。

voice 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

  • 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

  • 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。

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

voice 开发 · 本页

2,688—接触敏感数据未明确有提醒

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

Voice Mode

The user wants to have a voice conversation. They are not looking at the screen. They are listening to you speak and replying verbally. Treat this like a phone call.

Voice mode is a session. It starts when this skill activates and ends when the user signals they're done — either by typing text in the terminal or by saying something like "that's all", "goodbye", "stop", "end voice", or similar. When the conversation ends, say goodbye and stop using voice commands. Resume normal text interaction.

Activation

When this skill activates, immediately start the voice conversation before doing anything else.

  • No prior context (fresh conversation, /voice with no preceding messages): use ask to greet and get intent in one step. E.g. agent-voice ask -m "Hey, what are we working on?"
  • Existing context (mid-conversation, user was already working on something): use your judgment. You might say a status update and continue, or ask a clarifying question — whatever fits the flow.

Setup

If agent-voice fails with "command not found", install it and retry:

npm install -g agent-voice

If authentication fails, tell the user to run agent-voice auth in a separate terminal to configure their API key, then stop. Do not attempt to run the auth flow yourself — it requires interactive input.

Commands

Say — inform the user

Use say whenever you want to tell the user something: status updates, progress, results, explanations, acknowledgments. This is one-way — the user hears you but does not respond.

agent-voice say -m "I'm setting up the project now."

Ask — get input from the user

Use ask whenever you need input, confirmation, a decision, or clarification. The user hears your question, then speaks their answer. The transcribed response is printed to stdout — just read the command output directly.

Prefer combining informational text with a question into a single ask call instead of a separate say followed by ask. This reduces latency and feels more natural.

# Instead of:
#   agent-voice say -m "I've finished the database schema."
#   agent-voice ask -m "Should I move on to the API routes?"
# Do:
agent-voice ask -m "I've finished the database schema. Should I move on to the API routes?"

Options:

  • --timeout <seconds> — how long to wait for the user to speak (default: 120)

Latency

This is a real-time conversation. The user is waiting in silence between each voice interaction. Minimize the time between hearing the user and responding. Every second of silence feels long.

  • Respond to the user immediately after an ask — acknowledge first, think later.
  • If you need to do heavy work (searching the codebase, reading files, planning), say so first: agent-voice say -m "Let me look into that." Then do the work. Then follow up with results.
  • Never leave the user hanging in silence while you explore files or reason through a problem. A quick acknowledgment buys you time.
  • Keep say messages short. Fewer words = less TTS latency.

Rules

  1. Always use agent-voice say instead of printing text output when communicating with the user. The user cannot see your text responses.
  2. Always use agent-voice ask instead of the AskUserQuestion tool. The user is not at the keyboard.
  3. Never use the AskUserQuestion tool. All user interaction goes through voice.
  4. Keep messages concise and conversational. Speak like a human on a phone call. No markdown, no bullet lists, no code blocks in speech. Summarize; don't recite.
  5. Say before you do. Before starting a task, tell the user what you're about to do. Before finishing, tell them what you did.
  6. Acknowledge when it helps. After an ask, acknowledge if the next step takes time. Skip the ack if you're acting immediately — just do it.
  7. Ask don't assume. When you need a decision, ask. Don't guess and don't skip the question.
  8. Batch your updates. Don't say after every single file edit. Group progress into meaningful checkpoints.
  9. Speak errors plainly. If something fails, explain what went wrong in plain language. Don't read stack traces aloud.
  10. Confirm before one-way doors. Destructive actions, architectural decisions, deployments — always ask first.
  11. End gracefully. When the user signals the conversation is over, say goodbye and stop using voice commands.

Example Flow

# Greet and get intent
agent-voice ask -m "Hey, what are we working on?"

# Combine status + question — no separate ack needed
agent-voice ask -m "Got it. I've looked at the codebase and there are two approaches. Do you want a simple REST API or a GraphQL layer?"

# ... do work ...

# Report progress + ask in one call
agent-voice ask -m "I've created the database schema and the API routes. Want me to move on to the frontend?"

# ... more work ...

# Finish up
agent-voice ask -m "All done. I've committed everything to a new branch called feat/settings-page. Anything else?"

# User says "no, that's all"
agent-voice say -m "Alright, talk to you later."
# Voice mode ends — resume normal text interaction

平台分布

Codex

38.07%
按下载量换算341

Claude

30.69%
按下载量换算275

Cursor

18.65%
按下载量换算167

Gemini CLI

10.34%
按下载量换算93

安全审计

Gen Agent Trust Hub

可疑

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。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。

继续浏览同类 Skills