sherpa-onnx-tts
OfficialLocal text-to-speech via sherpa-onnx (offline, no cloud)
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
---
name: sherpa-onnx-tts
description: "Local text-to-speech via sherpa-onnx (offline, no cloud)"
metadata:
{
"openclaw":
{
"emoji": "🔉",
"os": ["darwin", "linux", "win32"],
"requires": { "env": ["SHERPA_ONNX_RUNTIME_DIR", "SHERPA_ONNX_MODEL_DIR"] },
"install":
[
{
"id": "download-runtime-macos",
"kind": "download",
"os": ["darwin"],
"url": "https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.13.2/sherpa-onnx-v1.13.2-osx-universal2-shared.tar.bz2",
"archive": "tar.bz2",
"extract": true,
"stripComponents": 1,
"targetDir": "runtime",
"label": "Download sherpa-onnx runtime (macOS)",
},
{
"id": "download-runtime-linux-x64",
"kind": "download",
"os": ["linux"],
"url": "https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.13.2/sherpa-onnx-v1.13.2-linux-x64-shared.tar.bz2",
"archive": "tar.bz2",
"extract": true,
"stripComponents": 1,
"targetDir": "runtime",
"label": "Download sherpa-onnx runtime (Linux x64)",
},
{
"id": "download-runtime-win-x64",
"kind": "download",
"os": ["win32"],
"url": "https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.13.2/sherpa-onnx-v1.13.2-win-x64-shared-MD-Release.tar.bz2",
"archive": "tar.bz2",
"extract": true,
"stripComponents": 1,
"targetDir": "runtime",
"label": "Download sherpa-onnx runtime (Windows x64)",
},
{
"id": "download-model-lessac",
"kind": "download",
"url": "https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-lessac-high.tar.bz2"Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-f26aa07e-a126-4f42-b706-52a740d33aea",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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