據 AlphaMoat 統計,截至 2026-09,🗣️ Edge-TTS Skill using uvx 累計下載 3,856 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 2,711 位,在「設計創意」分類(512 個)中排名第 249 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 127 | 3787 | 3 | - |
| SkillHub ↗ | 124 | 3856 | 3 | — |
各平台的計數口徑不同,統計時間不一致。
該技能透過 uvx edge-tts 將文字轉換為音訊,可調整語音、語速、音高或格式,並可生成字幕。傳給語音服務的文字可能包含敏感資訊;僅處理非敏感文字。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3856 | — | 3 |
| 2026-08 | 3708 | +3.5% | 3 |
| 2026-07 | 3584 | +8.3% | 3 |
| 2026-06 | 3310 | +6.2% | 3 |
| 2026-05 | 3117 | — | 3 |
| 2026-03 | 2305 | — | 2 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。