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audio-reply音频回复

Agent Skill

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。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:audio-reply(音频回复)
来源仓库:https://github.com/clawdbot/skills
仓库路径:skills/audio-reply
安装命令:
npx skills add clawdbot/skills --skill "audio-reply"
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。

AgentSkills.tonpx skills
npx skills add clawdbot/skills --skill "audio-reply"

简介

audio-reply 用于辅助音频处理、语音转写或合成任务。

  • 它适合生成配乐说明、调用语音工具或处理播客素材,适用于音视频内容制作。
  • 通过 npx skills add clawdbot/skills --skill "audio-reply" 安装,需确认输入音频来源和输出格式。
  • 涉及人声克隆或版权音乐时,应先核对授权和合规边界,避免侵权风险。
  • 使用时需注意模型限制和时长要求,确保输出符合预期。

SKILL.md

Audio Reply Skill

Generate spoken audio responses using MLX Audio TTS (chatterbox-turbo model).

Trigger Phrases

  • "read it to me [URL]" - Fetch content from URL and read it aloud
  • "talk to me [topic/question]" - Generate a conversational response as audio
  • "speak", "say it", "voice reply" - Convert your response to audio

How to Use

Mode 1: Read URL Content

User: read it to me https://example.com/article
  1. Fetch the URL content using WebFetch
  2. Extract readable text (strip HTML, focus on main content)
  3. Generate audio using TTS
  4. Play the audio and delete the file afterward

Mode 2: Conversational Audio Response

User: talk to me about the weather today
  1. Generate a natural, conversational response
  2. Keep it concise (TTS works best with shorter segments)
  3. Convert to audio, play it, then delete the file

Implementation

TTS Command

uv run mlx_audio.tts.generate \
  --model mlx-community/chatterbox-turbo-fp16 \
  --text "Your text here" \
  --play \
  --file_prefix /tmp/audio_reply

Key Parameters

  • --model mlx-community/chatterbox-turbo-fp16 - Fast, natural voice
  • --play - Auto-play the generated audio
  • --file_prefix - Save to temp location for cleanup
  • --exaggeration 0.3 - Optional: add expressiveness (0.0-1.0)
  • --speed 1.0 - Adjust speech rate if needed

Text Preparation Guidelines

For "read it to me" mode:

  1. Fetch URL with WebFetch tool
  2. Extract main content, strip navigation/ads/boilerplate
  3. Summarize if very long (>500 words) - keep key points
  4. Add natural pauses with periods and commas

For "talk to me" mode:

  1. Write conversationally, as if speaking
  2. Use contractions (I'm, you're, it's)
  3. Add filler words sparingly for naturalness ([chuckle], um, anyway)
  4. Keep responses under 200 words for best quality
  5. Avoid technical jargon unless explaining it

Audio Generation & Cleanup (IMPORTANT)

Always delete the audio file after playing - it's already in the chat history.

# Generate with unique filename and play
OUTPUT_FILE="/tmp/audio_reply_$(date +%s)"
uv run mlx_audio.tts.generate \
  --model mlx-community/chatterbox-turbo-fp16 \
  --text "Your response text" \
  --play \
  --file_prefix "$OUTPUT_FILE"

# ALWAYS clean up after playing
rm -f "${OUTPUT_FILE}"*.wav 2>/dev/null

Error Handling

If TTS fails:

  1. Check if model is downloaded (first run downloads ~500MB)
  2. Ensure uv is installed and in PATH
  3. Fall back to text response with apology

Example Workflows

Example 1: Read URL

User: read it to me https://blog.example.com/new-feature

Assistant actions:
1. WebFetch the URL
2. Extract article content
3. Generate TTS:
   uv run mlx_audio.tts.generate \
     --model mlx-community/chatterbox-turbo-fp16 \
     --text "Here's what I found... [article summary]" \
     --play --file_prefix /tmp/audio_reply_1706123456
4. Delete: rm -f /tmp/audio_reply_1706123456*.wav
5. Confirm: "Done reading the article to you."

Example 2: Talk to Me

User: talk to me about what you can help with

Assistant actions:
1. Generate conversational response text
2. Generate TTS:
   uv run mlx_audio.tts.generate \
     --model mlx-community/chatterbox-turbo-fp16 \
     --text "Hey! So I can help you with all kinds of things..." \
     --play --file_prefix /tmp/audio_reply_1706123789
3. Delete: rm -f /tmp/audio_reply_1706123789*.wav
4. (No text output needed - audio IS the response)

Notes

  • First run may take longer as the model downloads (~500MB)
  • Audio quality is best for English; other languages may vary
  • For long content, consider chunking into multiple audio segments
  • The --play flag uses system audio - ensure volume is up

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算393

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25.86%
按下载量换算354

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按下载量换算243

clawdbot

12.28%
按下载量换算168

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7.41%
按下载量换算102

Cursor

3.3%
按下载量换算45

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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