Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Local speech-to-text using whisper-cli (whisper.cpp).
Local speech-to-text using whisper-cli (whisper.cpp).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Transcribe audio files locally using whisper-cli and the large-v3-turbo model.
You can use the wrapper script: scripts/whisper-local.sh <audio-file> Or call the binary directly: whisper-cli -m /usr/share/whisper.cpp-model-large-v3-turbo/ggml-large-v3-turbo.bin -f <file> -l auto -nt
Location: scripts/whisper-local.sh (inside skill folder) Model: /usr/share/whisper.cpp-model-large-v3-turbo/ggml-large-v3-turbo.bin GPU: Enabled via whisper-cli.
Download the model to /usr/share/whisper.cpp-model-large-v3-turbo/: wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo.bin?download=true -O /usr/share/whisper.cpp-model-large-v3-turbo/ggml-large-v3-turbo.bin
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.