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Generate speech locally from text using VoxCPM2 (2B params, Apache-2.0). 30 languages, voice design (describe a voice), voice cloning (from 3-10s reference). Runs 100% offline on Apple Silicon via Metal (MPS). Zero API calls, zero cost.
Passed 19 of 22 test cases with the skill, and 3 of 22 without it.
and 22 more in the full report
17 fixed3 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the complete command line syntax to generate audio for 'The build succeeded in 42 seconds' using the default voice to output path `/tmp/build_status.wav`?
| Checked | Without skill | With skill |
|---|---|---|
| invokes the generator script with --text setting the input sentence | Missed | Passed |
| passes --out /tmp/build_status.wav for output location | Missed | Passed |
The instructions your model reads when the skill loads.
Generate speech from text using VoxCPM2 locally. 30 languages, voice design, voice cloning. Runs on Apple Silicon via Metal. Apache-2.0, zero cost.
This skill wraps VoxCPM2 (OpenBMB, Apache-2.0) for local text-to-speech. It supports three modes:
All processing happens on-device. No API keys. No network calls after the initial model download. Output is 48 kHz WAV ready for any use (Telegram voice messages, podcasts, video narration).
The skill expects a Python venv at ~/.local-tts/venv with the voxcpm package installed. If missing, create it:
mkdir -p ~/.local-tts
python3.12 -m venv ~/.local-tts/venv
~/.local-tts/venv/bin/pip install --upgrade pip voxcpm
First generation downloads ~10 GB of model weights to ~/.cache/huggingface/. Subsequent runs load the cache in ~30s.
ls ~/.local-tts/venv/bin/python && echo "venv OK" || echo "Run setup first"
If the venv is missing, guide the user through the setup commands above.
test cases passed, vs 3 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.