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Convert documents and text to audio using Google Cloud Text-to-Speech.
Passed 18 of 22 test cases with the skill, and 8 of 22 without it.
and 16 more in the full report
11 fixed8 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which environment variable name is checked by default for authenticating requests to Google Cloud TTS?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies GOOGLE_TTS_API_KEY. | Missed | Passed |
The instructions your model reads when the skill loads.
Converts text and documents into audio using Google Cloud TTS API. Supports Neural2, WaveNet, Studio, and Standard voices across 40+ languages.
API key via GOOGLE_TTS_API_KEY env var or skills/google-tts/config.json with {"api_key": "..."}.
Requires ffmpeg for multi-chunk documents. Optional: pip install PyPDF2 python-docx for PDF/DOCX.
python skills/google-tts/scripts/google_tts.py voices --language en-US --type Neural2
python skills/google-tts/scripts/google_tts.py voices --json
# From text or document (PDF, DOCX, MD, TXT)
python skills/google-tts/scripts/google_tts.py tts --text "Hello world" --output ~/Downloads/hello.mp3
python skills/google-tts/scripts/google_tts.py tts --file /path/to/doc.pdf --output ~/Downloads/narration.mp3
# With voice, rate, pitch, encoding options
python skills/google-tts/scripts/google_tts.py tts --file doc.md --voice en-US-Neural2-F --rate 0.9 --encoding MP3 --output ~/Downloads/out.mp3
Takes a JSON script with alternating speakers, synthesizes each with a different voice.
[
{"speaker": "host1", "text": "Welcome to our podcast!"},
{"speaker": "host2", "text": "Thanks for having me..."}
]
test cases passed, vs 8 / 22 without
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