Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add skbylife/claw-skills --skill "local-whisper"
Install specific skill from multi-skill repository
# Description
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
# SKILL.md
name: local-whisper
description: Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
metadata: {"clawdbot":{"emoji":"🎙️","requires":{"bins":["ffmpeg"]}}}
Local Whisper STT
Local speech-to-text using OpenAI's Whisper. Fully offline after initial model download.
Usage
# Basic
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav
# Better model
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --model turbo
# With timestamps
~/.clawdbot/skills/local-whisper/scripts/local-whisper audio.wav --timestamps --json
Models
| Model | Size | Notes |
|---|---|---|
tiny |
39M | Fastest |
base |
74M | Default |
small |
244M | Good balance |
turbo |
809M | Best speed/quality |
large-v3 |
1.5GB | Maximum accuracy |
Options
--model/-m— Model size (default: base)--language/-l— Language code (auto-detect if omitted)--timestamps/-t— Include word timestamps--json/-j— JSON output--quiet/-q— Suppress progress
Setup
Uses uv-managed venv at .venv/. To reinstall:
cd ~/.clawdbot/skills/local-whisper
uv venv .venv --python 3.12
uv pip install --python .venv/bin/python click openai-whisper torch --index-url https://download.pytorch.org/whl/cpu
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.