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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install erview/zvukogramExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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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