据 AlphaMoat 统计,截至 2026-09,🗣️ Edge-TTS Skill using uvx 累计下载 3,856 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 2,711 位,在「设计创意」分类(512 个)中排名第 249 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 127 | 3,787 | 3 | - |
| SkillHub ↗ | 124 | 3,856 | 3 | — |
各平台的计数口径不同,统计时间不一致。
该技能通过 uvx edge-tts 将文本转换为音频,可调整语音、语速、音高或格式,并可生成字幕。传给语音服务的文本可能包含敏感信息;仅处理非敏感文本。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,856 | — | 3 |
| 2026-08 | 3,708 | +3.5% | 3 |
| 2026-07 | 3,584 | +8.3% | 3 |
| 2026-06 | 3,310 | +6.2% | 3 |
| 2026-05 | 3,117 | — | 3 |
| 2026-03 | 2,305 | — | 2 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: edge-tts-uvx
description: |
Text-to-speech conversion using `uvx edge-tts` for generating audio from text.
Use when:
(1) User requests audio/voice output with the "tts" trigger or keyword.
(2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking).
(3) User wants a specific voice, speed, pitch, or format for TTS output.
metadata:
{ "openclaw":
{
"emoji": "🗣️",
"requires": {"bins": ["uvx"]}
}
}
---
# Edge-TTS Skill
Generate high-quality text-to-speech audio using Microsoft Edge's neural TTS service via the node-edge-tts npm package.
Supports multiple languages, voices, adjustable speed/pitch, and subtitle generation.
## Usage
```shell
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3
# With subtitles
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --write-subtitles -
```
## Changing rate(speed), volume and pitch
```shell
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --rate=+50%
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --volume=+50% --pitch=-50Hz
```
## Changing the voice
```shell
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --voice=zh-CN-XiaoxiaoNeural
```
## Available voices
```
Name Gender ContentCategories VoicePersonalities
en-GB-LibbyNeural Female General Friendly, Positive
en-GB-RyanNeural Male General Friendly, Positive
en-GB-SoniaNeural Female General Friendly, Positive
en-GB-ThomasNeural Male General Friendly, Positive
en-HK-SamNeural Male General Friendly, Positive
en-HK-YanNeural Female General Friendly, Positive
en-US-AnaNeural Female Cartoon, Conversation Cute
en-US-AndrewMultilingualNeural Male Conversation, Copilot Warm, Confident, Authentic, Honest
en-US-AndrewNeural Male Conversation, Copilot Warm, Confident, Authentic, Honest
en-US-AriaNeural Female News, Novel Positive, Confident
en-US-AvaMultilingualNeural Female Conversation, Copilot Expressive, Caring, Pleasant, Friendly
en-US-AvaNeural Female Conversation, Copilot Expressive, Caring, Pleasant, Friendly
en-US-BrianMultilingualNeural Male Conversation, Copilot Approachable, Casual, Sincere
en-US-BrianNeural Male Conversation, Copilot Approachable, Casual, Sincere
en-US-ChristopherNeural Male News, Novel Reliable, Authority
en-US-EmmaMultilingualNeural Female Conversation, Copilot Cheerful, Clear, Conversational
en-US-EmmaNeural Female Conversation, Copilot Cheerful, Clear, Conversational
en-US-EricNeural Male News, Novel Rational
en-US-GuyNeural Male News, Novel Passion
en-US-JennyNeural Female General Friendly, Considerate, Comfort
en-US-MichelleNeural Female News, Novel Friendly, Pleasant
en-US-RogerNeural Male News, Novel Lively
en-US-SteffanNeural Male News, Novel Rational
fr-FR-DeniseNeural Female General Friendly, Positive
fr-FR-HenriNeural Male General Friendly, Positive
zh-CN-XiaoxiaoNeural Female News, Novel Warm
zh-CN-YunjianNeural Male Sports, Novel Passion
zh-CN-liaoning-XiaobeiNeural Female Dialect Humorous
zh-CN-shaanxi-XiaoniNeural Female Dialect Bright
zh-HK-HiuGaaiNeural Female General Friendly, Positive
zh-HK-WanLungNeural Male General Friendly, Positive
zh-TW-HsiaoChenNeural Female General Friendly, Positive
zh-TW-YunJheNeural Male General Friendly, Positive\
```
Retrieve all available voices using shell commands:
```shell
uvx edge-tts --list-voices
```
ContextWeave 架构图一键生成
用 Nano Banana Pro 生成或编辑图片的脚本技能。
用 whisper 命令行在本地把音频转写成文字或做翻译的技能。
通过 MCP 服务生成与编辑图表的技能。
面向界面设计的思路与落地建议技能,覆盖布局、交互流程、设计令牌与前端改动。
面向多家视频模型 API 的 AI 视频生成与编排技能。
用 ffmpeg 从视频里取出画面帧,或生成便于快速查看的缩略图。
用本地 Whisper 把音频文件转成文字,模型下载完成后可完全离线运行。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。