Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Faster Whisper Local
Local speech-to-text using faster-whisper. High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models....
skill openclawclawhub Free
Local speech-to-text using faster-whisper. High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models....
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, requirements.txt, scripts/transcribe.py, setup.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Damirikys
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Faster-Whisper
High-performance local speech-to-text using faster-whisper.
1. Run Setup Script
Execute the setup script to create a virtual environment and install dependencies. It will automatically detect NVIDIA GPUs for CUDA acceleration. ./setup.sh Requirements: Python 3.10 or later ffmpeg (installed on the system)
Usage
Use the transcription script to process audio files.
Basic Transcription
./scripts/transcribe audio.mp3
Advanced Options
Specific Model: ./scripts/transcribe audio.mp3 --model large-v3-turbo Word Timestamps: ./scripts/transcribe audio.mp3 --word-timestamps JSON Output: ./scripts/transcribe audio.mp3 --json VAD (Silence Removal): ./scripts/transcribe audio.mp3 --vad
Available Models
distil-large-v3 (default): Best balance of speed and accuracy. large-v3-turbo: Recommended for multilingual or highest accuracy tasks. medium.en, small.en: Faster, English-only versions.
Troubleshooting
No GPU detected: Ensure NVIDIA drivers and CUDA are correctly installed. CPU transcription is significantly slower. OOM Error: Use a smaller model (e.g., small or base) or use --compute-type int8.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs1 Files
- SKILL.md
- scripts/transcribe.py
- setup.sh
- requirements.txt