bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Give your agent the ability to speak to you real-time. Talk to your Claude! Ultra-fast TTS, text-to-speech, voice synthesis, audio output with ~90ms latency. 8 built-in voices for instant voice responses. For voice cloning, use the speak skill.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install emzod/speakturbo-tts打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Give your agent the ability to speak to you real-time. Ultra-fast text-to-speech with ~90ms latency and 8 built-in voices.
# Play immediately - you should hear "Hello world" through your speakers
speakturbo "Hello world"
# Output: ⚡ 92ms → ▶ 93ms → ✓ 1245ms
# Verify it's working by saving to file
speakturbo "Hello world" -o test.wav
ls -lh test.wav # Should show ~50-100KB file
Output explained: ⚡ = first audio received, ▶ = playback started, ✓ = done
The first execution takes 2-5 seconds while the daemon starts and loads the model into memory. Subsequent calls are ~90ms to first sound.
# First run (slow - daemon starting)
speakturbo "Starting up" # ~2-5 seconds
# Second run (fast - daemon already running)
speakturbo "Now I'm fast" # ~90ms
# Basic - plays immediately (default voice: alba)
speakturbo "Hello world"
# Save to file (no audio playback)
speakturbo "Hello" -o output.wav
# Save to specific file
speakturbo "Goodbye" -o goodbye.wav
# Quiet mode (suppress status messages, still plays audio)
speakturbo "Hello" -q
# List available voices
speakturbo --list-voices
| Voice | Type |
|---|---|
alba |
Female (default) |
marius |
Male |
javert |
Male |
jean |
Male |
fantine |
Female |
cosette |
Female |
eponine |
Female |
azelma |
Female |
| Metric | Value |
|---|---|
| Time to first sound | ~90ms (daemon warm) |
| First run | 2-5s (daemon startup) |
| Real-time factor | ~4x faster |
| Sample rate | 24kHz mono |
speakturbo (Rust CLI, 2.2MB)
│
│ HTTP streaming (port 7125)
▼
speakturbo-daemon (Python + pocket-tts)
│
│ Model in memory, auto-shutdown after 1hr idle
▼
Audio playback (rodio)
speakturbo "She said \"hello\""
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
███████╗██████╗ ███████╗ █████╗ ██╗ ██╗ ████████╗██╗ ██╗██████╗ ██████╗ ██████╗
██╔════╝██╔══██╗██╔════╝██╔══██╗██║ ██╔╝ ╚══██╔══╝██║ ██║██╔══██╗██╔══██╗██╔═══██╗
███████╗██████╔╝█████╗ ███████║█████╔╝ ██║ ██║ ██║██████╔╝██████╔╝██║ ██║
╚════██║██╔═══╝ ██╔══╝ ██╔══██║██╔═██╗ ██║ ██║ ██║██╔══██╗██╔══██╗██║ ██║
███████║██║ ███████╗██║ ██║██║ ██╗ ██║ ╚██████╔╝██║ ██║██████╔╝╚██████╔╝
╚══════╝╚═╝ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═════╝ ╚═════╝
For AI Agents (Claude Code, Cursor, Windsurf):
npx skills add EmZod/Speak-Turbo
CLI only:
pip install pocket-tts uvicorn fastapi
cd speakturbo-cli && cargo build --release
speakturbo "Hello world" # Play instantly
speakturbo "Hello" -o out.wav # Save to file
speakturbo "Hello" -q # Quiet mode
speakturbo --list-voices # Show voices
alba ██████████ Female (default)
marius ██████████ Male
javert ██████████ Male
jean ██████████ Male
fantine ██████████ Female
cosette ██████████ Female
eponine ██████████ Female
azelma ██████████ Female
Time to...
# speakturbo - Talk to your Claude!
Give your agent the ability to speak to you real-time. Ultra-fast text-to-speech with ~90ms latency and 8 built-in voices.
## Quick Start
```bash
# Play immediately - you should hear "Hello world" through your speakers
speakturbo "Hello world"
# Output: ⚡ 92ms → ▶ 93ms → ✓ 1245ms
# Verify it's working by saving to file
speakturbo "Hello world" -o test.wav
ls -lh test.wav # Should show ~50-100KB file
```
**Output explained:** `⚡` = first audio received, `▶` = playback started, `✓` = done
## First Run
The **first execution takes 2-5 seconds** while the daemon starts and loads the model into memory. Subsequent calls are ~90ms to first sound.
```bash
# First run (slow - daemon starting)
speakturbo "Starting up" # ~2-5 seconds
# Second run (fast - daemon already running)
speakturbo "Now I'm fast" # ~90ms
```
## Usage
```bash
# Basic - plays immediately (default voice: alba)
speakturbo "Hello world"
# Save to file (no audio playback)
speakturbo "Hello" -o output.wav
# Save to specific file
speakturbo "Goodbye" -o goodbye.wav
# Quiet mode (suppress status messages, still plays audio)
speakturbo "Hello" -q
# List available voices
speakturbo --list-voices
```
## Available Voices
| Voice | Type |
|-------|------|
| `alba` | Female (default) |
| `marius` | Male |
| `javert` | Male |
| `jean` | Male |
| `fantine` | Female |
| `cosette` | Female |
| `eponine` | Female |
| `azelma` | Female |
## Performance
| Metric | Value |
|--------|-------|
| Time to first sound | ~90ms (daemon warm) |
| First run | 2-5s (daemon startup) |
| Real-time factor | ~4x faster |
| Sample rate | 24kHz mono |
## Architecture
```
speakturbo (Rust CLI, 2.2MB)
│
│ HTTP streaming (port 7125)
▼
speakturbo-daemon (Python + pocket-tts)
│
│ Model in memory, auto-shutdown after 1hr idle
▼
Audio playback (rodio)
```
## Text Input
- **Encoding:** UTF-8
- **Quotes in text:** Use escaping: `speakturbo "She said \"hello\""`
- *...```
███████╗██████╗ ███████╗ █████╗ ██╗ ██╗ ████████╗██╗ ██╗██████╗ ██████╗ ██████╗
██╔════╝██╔══██╗██╔════╝██╔══██╗██║ ██╔╝ ╚══██╔══╝██║ ██║██╔══██╗██╔══██╗██╔═══██╗
███████╗██████╔╝█████╗ ███████║█████╔╝ ██║ ██║ ██║██████╔╝██████╔╝██║ ██║
╚════██║██╔═══╝ ██╔══╝ ██╔══██║██╔═██╗ ██║ ██║ ██║██╔══██╗██╔══██╗██║ ██║
███████║██║ ███████╗██║ ██║██║ ██╗ ██║ ╚██████╔╝██║ ██║██████╔╝╚██████╔╝
╚══════╝╚═╝ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═════╝ ╚═════╝
```
<h3 align="center">Talk to your Claude.</h3>
<p align="center">
<a href="https://speakturbo-site.vercel.app"><img src="https://img.shields.io/badge/website-speakturbo-f97316.svg" alt="Website"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License"></a>
<img src="https://img.shields.io/badge/latency-~90ms-brightgreen.svg" alt="Latency">
<img src="https://img.shields.io/badge/platform-Apple%20Silicon-orange.svg" alt="Platform">
</p>
<p align="center">
<strong>~90ms to first sound. Realistic. Local. Private. Fast.</strong>
</p>
<p align="center">
<code>speakturbo "Hello world"</code> → <code>⚡ 92ms → ▶ 93ms → ✓ done</code>
</p>
---
## Install
**For AI Agents** (Claude Code, Cursor, Windsurf):
```bash
npx skills add EmZod/Speak-Turbo
```
**CLI only:**
```bash
pip install pocket-tts uvicorn fastapi
cd speakturbo-cli && cargo build --release
```
---
## Usage
```bash
speakturbo "Hello world" # Play instantly
speakturbo "Hello" -o out.wav # Save to file
speakturbo "Hello" -q # Quiet mode
speakturbo --list-voices # Show voices
```
---
## Voices
```
alba ██████████ Female (default)
marius ██████████ Male
javert ██████████ Male
jean ██████████ Male
fantine ██████████ Female
cosette ██████████ Female
eponine ██████████ Female
azelma ██████████ Female
```
---
## Performance
```
Time to...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, o...
飞书消息自动处理与进度反馈技能。安装后后台运行,监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈(任务确认、进度百分比、完成通知)。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化...