A professional-grade command-line interface for Typecast AI that enables multilingual text-to-speech with granular emotion and prosody control.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install typecast
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install typecast using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Cast is a sophisticated text-to-speech (TTS) engine integration for the Openclaw Skills ecosystem that brings human-like synthetic voices to the terminal. It leverages the Typecast API to provide high-fidelity audio generation across 37 languages, allowing developers to play audio immediately or export to high-quality wav and mp3 formats.
Built for creators and developers, this skill stands out by offering advanced emotional intelligence. It supports both explicit emotion presets (like happy, sad, or whisper) and smart emotion inference, where the AI analyzes the surrounding context to determine the most natural tone of voice for the given text.
To integrate this capability into your Openclaw Skills environment, install the cast CLI via Homebrew and configure your API credentials:
# Install the cast CLI
brew tap neosapience/tap
brew install cast
# Authenticate with your Typecast API Key
cast login <your_api_key>
# Set a default voice to get started
cast config set voice-id <voice_id>
The skill manages configuration and output through a structured hierarchy of priorities: CLI flags, environment variables, and a local configuration file.
| Component | Details |
|---|---|
| Config File | Located at ~/.typecast/config.yaml |
| Audio Formats | Supports .wav (default) and .mp3 |
| Metadata | Tracks reproducibility through a seed parameter |
| Language Support | ISO 639-3 codes (e.g., eng, kor, jpn, fra, vie) |
| Models | ssfm-v30 (37 langs, smart emotions) and ssfm-v21 (27 langs, low latency) |
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