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Agent Skill · 开发

speak(speak 命令行)

speak 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

speak 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 15,689。

总安装 570周安装 24GitHub Stars 56下载 404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:speak(speak 命令行)
来源仓库:https://github.com/blacktop/mcp-tts
仓库路径:skills/speak
安装命令:
npx skills add https://github.com/blacktop/mcp-tts --skill speak
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/blacktop/mcp-tts --skill speak

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

speak 用于项目关键节点自动语音播报,支持计划完成、问题解决与总结生成。可配置 Google、OpenAI、ElevenLabs 等语音提供商及不同语调风格。配置文件存于 .claude/tts-config.json,支持多 provider 回退机制。涉及音频生成与外部 API 调用,需注意网络权限与配额限制。

安装前请确认宿主是否具备麦克风访问或音频输出能力。

来源仓库内路径:skills/speak

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/blacktop/mcp-tts --skill speak;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

speak 怎么安装?

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

speak 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。

speak 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。

speak 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。

speak 用的人多吗?

公开数据是累计安装 570 次,近一周安装 24 次,下载 404 次,GitHub 56 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。

speak 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
speak

speak 命令行 · 本页

57056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

Speak

Announce plans, issues, and summaries aloud using project-specific voices. Triggered automatically after major milestones.

When to Announce

Announce automatically after:

  • Planning complete - When a plan/todo list is finalized
  • Issue resolved - When a bug fix or error is resolved
  • Summary generated - When completing a sprint or major task

Configuration

Store config at .claude/tts-config.json in the project root:

{
  "provider_order": ["google", "openai", "elevenlabs", "say"],
  "unavailable_providers": [],
  "voices": {
    "planning": { "provider": "google", "voice": "Kore", "style": "calm" },
    "issue": { "provider": "google", "voice": "Aoede", "style": "urgent" },
    "summary": { "provider": "google", "voice": "Charon", "style": "satisfied" }
  },
  "assigned_at": "2025-01-15T10:30:00Z"
}

On first use in a new project, auto-generate config by selecting unused voices from the voice pool (see references/voice-pools.json).

Note: say (macOS) requires no API key and should always work as final fallback.

Workflow

  1. Detect message type - planning, issue, or summary
  2. Load config - Read .claude/tts-config.json or create if missing
  3. Select provider - Use first provider from provider_order not in unavailable_providers
  4. Transform text - Convert to speech-friendly format (see below)
  5. Speak - Call appropriate TTS tool with configured voice
  6. Handle failures - See error handling below

Error Handling

When a TTS call fails, check the error type:

Error PatternAction
"API key", "unauthorized", "authentication", "GOOGLE_API_KEY", "OPENAI_API_KEY", "ELEVENLABS_API_KEY"Add provider to unavailable_providers, save config, try next
"rate limit", "quota", "429"Try next provider (temporary)
Other errorsTry next provider

Critical: On auth/config errors, immediately update .claude/tts-config.json to add the provider to unavailable_providers. This persists across sessions and prevents wasted attempts.

Example after Google fails due to missing API key:

{
  "provider_order": ["google", "openai", "elevenlabs", "say"],
  "unavailable_providers": ["google"],
  ...
}

The agent will now skip Google and start with OpenAI on next announcement.

Text Transformation

Convert verbose output to conversational speech:

Remove/ReplaceWith
URLs"see the link" or omit
Code blocks"see the code changes" or brief description
File pathsJust the filename (e.g., /src/lib/foo.rs -> "foo.rs")
Long hashes/IDs"a commit hash" or omit
Long number lists"several values" or count
Markdown formattingPlain text
Technical jargonSimpler alternatives when possible

Target length: ~15-30 seconds of speech (roughly 50-100 words)

Tone by type:

  • Planning: "Here's the plan..." (forward-looking, organized)
  • Issue: "Found a problem..." (alert but calm)
  • Summary: "All done..." (satisfied, accomplished)

TTS Tools

google_tts (preferred)

mcp__mcp-tts__google_tts
- text: string (required)
- voice: string (default: "Kore")
- model: string (default: "gemini-3.1-flash-tts-preview")

Voices: Achernar, Achird, Algenib, Algieba, Alnilam, Aoede, Autonoe, Callirrhoe, Charon, Despina, Enceladus, Erinome, Fenrir, Gacrux, Iapetus, Kore, Laomedeia, Leda, Orus, Puck, Pulcherrima, Rasalgethi, Sadachbia, Sadaltager, Schedar, Sulafat, Umbriel, Vindemiatrix, Zephyr, Zubenelgenubi

openai_tts (fallback 1)

mcp__mcp-tts__openai_tts
- text: string (required)
- voice: string (default: "alloy") - alloy, ash, ballad, coral, echo, fable, nova, onyx, sage, shimmer, verse
- model: string (default: "gpt-4o-mini-tts")
- speed: number (0.25-4.0, default: 1.0)
- instructions: string (voice modulation hints)

elevenlabs_tts (fallback 2)

mcp__mcp-tts__elevenlabs_tts
- text: string (required)

say_tts (fallback 3 - local/free)

mcp__mcp-tts__say_tts
- text: string (required)
- voice: string (OPTIONAL - prefer leaving unset to use system default voice which sounds more natural)
- rate: integer (RECOMMENDED: 200-250 for natural speech, max 300 unless user asks faster; default: 200)

IMPORTANT for say_tts:

  • Do NOT set a voice unless the user explicitly requests one - the system default sounds most natural
  • Keep rate between 200-250 for comfortable listening; only go up to 275-300 if user wants faster speech

Auto-Assignment

When creating config for a new project:

  1. Read references/voice-pools.json for available voices
  2. Check ~/.claude/tts-unavailable.json for globally unavailable providers (shared across projects)
  3. Scan ~/.claude/tts-assignments.json for voices already assigned to other projects
  4. Select 3 unused voices (one per message type) from first available provider
  5. If all voices used, cycle back with provider variation
  6. Save assignment to both project config and global assignments file

When a provider is marked unavailable in any project, also update ~/.claude/tts-unavailable.json:

{
  "unavailable": ["google", "elevenlabs"],
  "updated_at": "2025-01-15T10:30:00Z"
}

This prevents new projects from attempting providers known to be unconfigured.

Examples

Planning (after TodoWrite with multiple items):

"Here's the plan for the authentication feature. First, I'll create the login component. Then add session management. Finally, write the tests. Three tasks total."

Issue (after fixing an error):

"Found and fixed an issue. The rate limiter wasn't catching timeout errors. Added a try-catch block in the handler. Tests are passing now."

Summary (after completing a feature):

"All done with the authentication system. Added login, logout, and session management. Created five new files and updated the main router. Ready for review."

平台分布

Codex

36.25%
按下载量换算146

Claude

30.8%
按下载量换算124

Cursor

17.8%
按下载量换算72

Gemini CLI

10.41%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

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。

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