TTS
Implement text-to-speech (TTS) capabilities using the z-ai-web-dev-sdk.
Skill by v-yutianran
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/v-yutianran-tts
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/tts
What's inside
- Skill name
TTS- Description
- Implement text-to-speech (TTS) capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to convert text into natural-sounding speech, create audio content, build voice-enabled applications, or generate spoken audio files. Supports multiple voices, adjustable speed, and various audio formats.
- License
- MIT
- Instructions
- 731 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- body: 731 lines (spec recommends under 500)
Files (3)
- LICENSE.txt
- SKILL.md
- tts.ts
SKILL.md (first lines)
# TTS (Text to Speech) Skill
This skill guides the implementation of text-to-speech (TTS) functionality using the z-ai-web-dev-sdk package, enabling conversion of text into natural-sounding speech audio.
## Skills Path
**Skill Location**: `{project_path}/skills/TTS`
This skill is located at the above path in your project.
**Reference Scripts**: Example test scripts are available in the `{Skill Location}/scripts/` directory for quick testing and reference. See `{Skill Location}/scripts/tts.ts` for a working example.
## Overview
Text-to-Speech allows you to build applications that generate spoken audio from text input, supporting various voices, speeds, and output formats for diverse use cases.
**IMPORTANT**: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.
## API Limitations and Constraints
Before implementing TTS functionality, be aware of these important limitations:
### Input Text Constraints
- **Maximum length**: 1024 characters per request
- Text exceeding this limit must be split into smaller chunks
### Audio Parameters
- **Speed range**: 0.5 to 2.0
- 0.5 = half speed (slower)
- 1.0 = normal speed (default)
- 2.0 = double speed (faster)
- **Volume range**: Greater than 0, up to 10
- Default: 1.0
- Values must be greater than 0 (exclusive) and up to 10 (inclusive)
### Format and Streaming
- **Streaming limitation**: When `stream: true` is enabled, only `pcm` format is supported
- **Non-streaming**: Supports `wav`, `pcm`, and `mp3` formats
- **Sample rate**: 24000 Hz (recommended)
### Best Practice for Long Text
```javascript
function splitTextIntoChunks(text, maxLength = 1000) {
const chunks = [];
const sentences = text.match(/[^.!?]+[.!?]+/g) || [text];
let currentChunk = '';
for (const sentence of sentences) {
if ((currentChunk + sentence).length <= maxLength) {
currentChunk += sentence;
} else {
if (currentChunk) chunks.push(currentChunk.trim());
currentChunk = sentence;
}
}
if (currentChunk) chunks.push(currentChunk.trim());
return chunks;
}
```
## Prerequisites
The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.
## CLI Usage (For Simple Tasks)
For simple text-to-speech conversions, you can use the z-ai CLI instead of writing code. This is ideal for quick audio generation, testing voices, or simple automation.
### Basic TTS
```bash
# Convert text to speech (default WAV format)
z-ai tts --input "Hello, world" --output ./hello.wav
# Using short options
z-ai tts -i "Hello, world" -o ./hello.wav
```
### Different Voices and Speed
```bash
# Use specific voice
z-ai tts -i "Welcome to our service" -o ./welcome.wav --voice tongtong
# Adjust speech speed (0.5-2.0)
z-ai tts -i "This is faster speech" -o ./fast.wav --speed 1.5
# Slower speech
z-ai tts -i "This is slower speech" -o ./slow.wav --speed 0.8
```
### Different Output Formats
```bash
# MP3 format
z-ai tts -i "Hello World" -o ./hello.mp3 --format mp3
# WAV format (default)
z-ai tts -i "Hello World" -o ./hello.wav --format wav
# PCM format
z-ai tts -i "Hello World" -o ./hello.pcm --format pcm
```
### Streaming Output
```bash
# Stream audio generation
z-ai tts -i "This is a longer text that will be streamed" -o ./stream.wav --stream
```
### CLI Parameters
- `--input, -i <text>`: **Required** - Text to convert to speech (max 1024 characters)
- `--output, -o <path>`: **Required** - Output audio file path
- `--voice, -v <voice>`: Optional - Voice type (default: tongtong)
- `--speed, -s <number>`: Optional - Speech speed, 0.5-2.0 (default: 1.0)
- `--format, -f <format>`: Optional - Output format: wav, mp3, pcm (default: wav)From v-yutianran/skills, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 8, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/v-yutianran/skills
- Website
- mist-story.vercel.app
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
TTS skill. Agent Mart. https://agentmart.dev/skills/v-yutianran-tts (last updated 2026-10-24)