Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Local Vosk STT
Local speech-to-text using Vosk. Lightweight, fast, fully offline. Perfect for transcribing Telegram voice messages, audio files, or any speech-to-text task without cloud APIs.
skill openclawclawhub Free
Local speech-to-text using Vosk. Lightweight, fast, fully offline. Perfect for transcribing Telegram voice messages, audio files, or any speech-to-text task without cloud APIs.
โฌ 0 downloads โ
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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
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
- 1.0.1
Provenance
- Publisher
- sfkiwi
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Local Vosk STT
Lightweight local speech-to-text using Vosk. Fully offline after model download.
Use Cases
Telegram voice messages โ transcribe .ogg voice notes automatically Audio files โ any format ffmpeg supports Offline transcription โ no API keys, no cloud, no costs
Quick Start
# Transcribe Telegram voice message ./skills/local-vosk/scripts/transcribe voice_message.ogg # Transcribe any audio ./skills/local-vosk/scripts/transcribe audio.mp3 # With language (default: en-us) ./skills/local-vosk/scripts/transcribe audio.wav --lang en-us
Supported Formats
Any format ffmpeg can decode: ogg (Telegram), mp3, wav, m4a, webm, flac, etc.
Models
Default model: vosk-model-small-en-us-0.15 (~40MB) Other models available at https://alphacephei.com/vosk/models
Setup (if not installed)
pip3 install vosk --user --break-system-packages # Download model mkdir -p ~/vosk-models && cd ~/vosk-models wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip unzip vosk-model-small-en-us-0.15.zip
Notes
Quality is good for conversational speech For higher accuracy, use larger models or faster-whisper Processes audio at ~10x realtime on typical hardware Telegram voice messages are .ogg format โ works out of the box
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md