stock-data-skill
OpenClaw Skill for stock data analysis
Text-to-Speech via Zvukogram API with SSML support. Use when you need to generate speech from text, create podcasts, voice notifications, or work with audio. Supports speed control, stress marks, English word transcription, and audio fragment merging.
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 erview/zvukogram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。
Speech generation via Zvukogram API with SSML markup support.
To use this skill, you need:
Create file ~/.config/zvukogram/config.json:
mkdir -p ~/.config/zvukogram
{
"token": "your_api_token_here",
"email": "your_email@example.com"
}
Or use environment variables:
export ZVUKOGRAM_TOKEN=your_api_token_here
export ZVUKOGRAM_EMAIL=your_email@example.com
# Simple TTS
python3 scripts/tts.py --text "Hello, world!" --voice Алена --output hello.mp3
# With +20% speed
python3 scripts/tts.py --text "Fast text" --voice Алена --speed 1.2 --output fast.mp3
# Check balance
python3 scripts/balance.py
Use + before stressed vowel:
З+амок — stress on "a"
зам+ок — stress on "o"
<sub alias="Оупен Эй Ай">OpenAI</sub>
<sub alias="Самсунг">Samsung</sub>
<sub alias="Ал+ьтман">Альтман</sub>
<prosody rate="1.2">20% faster</prosody>
<prosody rate="fast">Fast text</prosody>
<break time="500ms"/>
Full list: see references/VOICES.md
See references/EXAMPLES.md for:
See references/TRANSCRIPTION.md for proper pronunciation:
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。
# Zvukogram TTS
Speech generation via Zvukogram API with SSML markup support.
## Requirements
To use this skill, you need:
- **Zvukogram API token** — get it at https://zvukogram.com/
- **Zvukogram account email**
### Setup
Create file `~/.config/zvukogram/config.json`:
```bash
mkdir -p ~/.config/zvukogram
```
```json
{
"token": "your_api_token_here",
"email": "your_email@example.com"
}
```
Or use environment variables:
```bash
export ZVUKOGRAM_TOKEN=your_api_token_here
export ZVUKOGRAM_EMAIL=your_email@example.com
```
## Quick Start
```bash
# Simple TTS
python3 scripts/tts.py --text "Hello, world!" --voice Алена --output hello.mp3
# With +20% speed
python3 scripts/tts.py --text "Fast text" --voice Алена --speed 1.2 --output fast.mp3
# Check balance
python3 scripts/balance.py
```
## Features
- **TTS generation** — text to speech
- **SSML support** — stress marks, pauses, speed
- **Audio merging** — combine fragments via ffmpeg
- **Transcription** — proper pronunciation of English words
## SSML Markup
### Stress Marks
Use `+` before stressed vowel:
```
З+амок — stress on "a"
зам+ок — stress on "o"
```
### Aliases (Transcription)
```xml
<sub alias="Оупен Эй Ай">OpenAI</sub>
<sub alias="Самсунг">Samsung</sub>
<sub alias="Ал+ьтман">Альтман</sub>
```
### Speed
```xml
<prosody rate="1.2">20% faster</prosody>
<prosody rate="fast">Fast text</prosody>
```
### Pauses
```xml
<break time="500ms"/>
```
## Available Voices
- **Алена** — female, neutral (recommended)
- **Андрей** — male, neutral (recommended)
- **Александра** — female, soft
- **Антон** — male, business
Full list: see [references/VOICES.md](references/VOICES.md)
## Examples
See [references/EXAMPLES.md](references/EXAMPLES.md) for:
- Dialogs and podcasts
- News voiceover
- Voice notifications
- Long texts
## Transcription
See [references/TRANSCRIPTION.md](references/TRANSCRIPTION.md) for proper pronunciation:
- OpenAI → Оупен Эй Ай
- GPT → Джи Пи Ти
- Samsung → Самсунг
- Altman → Ал+ьтма...OpenClaw Skill for stock data analysis
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