Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Gemini STT
Transcribe audio files using Google's Gemini API or Vertex AI
skill openclawclawhub Free
Transcribe audio files using Google's Gemini API or Vertex AI
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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, transcribe.py
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
- 1.1.0
Provenance
- Publisher
- araa47
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Gemini Speech-to-Text Skill
Transcribe audio files using Google's Gemini API or Vertex AI. Default model is gemini-2.0-flash-lite for fastest transcription.
Option 1: Vertex AI with Application Default Credentials (Recommended)
gcloud auth application-default login gcloud config set project YOUR_PROJECT_ID The script will automatically detect and use ADC when available.
Option 2: Direct Gemini API Key
Set GEMINI_API_KEY in environment (e.g., ~/.env or ~/.clawdbot/.env)
Requirements
Python 3.10+ (no external dependencies) Either GEMINI_API_KEY or gcloud CLI with ADC configured
Supported Formats
.ogg / .opus (Telegram voice messages) .mp3 .wav .m4a
Usage
# Auto-detect auth (tries ADC first, then GEMINI_API_KEY) python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg # Force Vertex AI python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --vertex # With a specific model python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --model gemini-2.5-pro # Vertex AI with specific project and region python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --vertex --project my-project --region us-central1 # With Clawdbot media python ~/.claude/skills/gemini-stt/transcribe.py ~/.clawdbot/media/inbound/voice-message.ogg
Options
OptionDescription<audio_file>Path to the audio file (required)--model, -mGemini model to use (default: gemini-2.0-flash-lite)--vertex, -vForce use of Vertex AI with ADC--project, -pGCP project ID (for Vertex, defaults to gcloud config)--region, -rGCP region (for Vertex, default: us-central1)
Supported Models
Any Gemini model that supports audio input can be used. Recommended models: ModelNotesgemini-2.0-flash-liteDefault. Fastest transcription speed.gemini-2.0-flashFast and cost-effective.gemini-2.5-flash-liteLightweight 2.5 model.gemini-2.5-flashBalanced speed and quality.gemini-2.5-proHigher quality, slower.gemini-3-flash-previewLatest flash model.gemini-3-pro-previewLatest pro model, best quality. See Gemini API Models for the latest list.
How It Works
Reads the audio file and base64 encodes it Auto-detects authentication: If ADC is available (gcloud), uses Vertex AI endpoint Otherwise, uses GEMINI_API_KEY with direct Gemini API Sends to the selected Gemini model with transcription prompt Returns the transcribed text
Example Integration
For Clawdbot voice message handling: # Transcribe incoming voice message TRANSCRIPT=$(python ~/.claude/skills/gemini-stt/transcribe.py "$AUDIO_PATH") echo "User said: $TRANSCRIPT"
Error Handling
The script exits with code 1 and prints to stderr on: No authentication available (neither ADC nor GEMINI_API_KEY) File not found API errors Missing GCP project (when using Vertex)
Notes
Uses Gemini 2.0 Flash Lite by default for fastest transcription No external Python dependencies (uses stdlib only) Automatically detects MIME type from file extension Prefers Vertex AI with ADC when available (no API key management needed)
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 Docs1 Scripts
- SKILL.md
- transcribe.py