| name | audio-tts |
| description | Generate speech audio using macOS native TTS (say + afconvert), outputting m4a files. |
| triggers | {"intent_patterns":["语音|读出来|朗读|TTS|配音|发个语音"],"context_signals":{"keywords":["语音","朗读","tts","配音","音频"]},"confidence_threshold":0.6} |
| priority | 6 |
| requires_tools | ["bash","write"] |
| max_tokens | 200 |
| cooldown | 30 |
| output | {"format":"markdown","artifacts":true,"artifact_type":"audio"} |
audio-tts
Generate speech audio using macOS built-in say command and convert to m4a format.
Quick Reference
| Intent | Command | Key Params |
|---|
| Speak text | $PYTHON $SKILL_DIR/run.py speak --text '...' | --text (required) |
| Custom voice | $PYTHON $SKILL_DIR/run.py speak --text '...' --voice Samantha | --voice |
Usage
$PYTHON $SKILL_DIR/run.py speak --text 'Hello, this is a speech test'
Parameters
speak
| Param | Type | Required | Description |
|---|
| text | string | yes | Text to speak |
| voice | string | no | Voice name (e.g. Ting-Ting / Samantha), defaults to system default |
| rate | int | no | Speech rate in WPM (passed to say -r) |
| output | string | no | Output path, default /tmp/tts_<ts>.m4a |
Constraints
- Requires macOS (built-in
say and afconvert commands).
