How do I install the Gemini Stt skill?

Run npx skillmds@latest add modbender/gemini-stt in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Gemini Stt skill do?

Transcribe audio files using Google's Gemini API or Vertex AI It is listed under Integrations & APIs on SkillMD.

Is Gemini Stt safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Gemini Stt?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Gemini Stt free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Gemini Stt?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Gemini Stt by modbender — Agent Skill

Name: Gemini Stt
Rating: 4.2 (5 reviews)
Author: modbender

File contents

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.

Authentication (choose one)

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

Option	Description
`<audio_file>`	Path to the audio file (required)
`--model`, `-m`	Gemini model to use (default: `gemini-2.0-flash-lite`)
`--vertex`, `-v`	Force use of Vertex AI with ADC
`--project`, `-p`	GCP project ID (for Vertex, defaults to gcloud config)
`--region`, `-r`	GCP region (for Vertex, default: `us-central1`)

Supported Models

Any Gemini model that supports audio input can be used. Recommended models:

Model	Notes
`gemini-2.0-flash-lite`	Default. Fastest transcription speed.
`gemini-2.0-flash`	Fast and cost-effective.
`gemini-2.5-flash-lite`	Lightweight 2.5 model.
`gemini-2.5-flash`	Balanced speed and quality.
`gemini-2.5-pro`	Higher quality, slower.
`gemini-3-flash-preview`	Latest flash model.
`gemini-3-pro-preview`	Latest 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)

---name: gemini-sttdescription: Transcribe audio files using Google's Gemini API or Vertex AI--- # 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. ## Authentication (choose one) ### Option 1: Vertex AI with Application Default Credentials (Recommended) ```bash 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 ```bash # 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 | Option | Description | |--------|-------------| | `<audio_file>` | Path to the audio file (required) | | `--model`, `-m` | Gemini model to use (default: `gemini-2.0-flash-lite`) | | `--vertex`, `-v` | Force use of Vertex AI with ADC | | `--project`, `-p` | GCP project ID (for Vertex, defaults to gcloud config) | | `--region`, `-r` | GCP region (for Vertex, default: `us-central1`) | ## Supported Models Any Gemini model that supports audio input can be used. Recommended models: | Model | Notes | |-------|-------| | `gemini-2.0-flash-lite` | **Default.** Fastest transcription speed. | | `gemini-2.0-flash` | Fast and cost-effective. | | `gemini-2.5-flash-lite` | Lightweight 2.5 model. | | `gemini-2.5-flash` | Balanced speed and quality. | | `gemini-2.5-pro` | Higher quality, slower. | | `gemini-3-flash-preview` | Latest flash model. | | `gemini-3-pro-preview` | Latest pro model, best quality. | See [Gemini API Models](https://ai.google.dev/gemini-api/docs/models) for the latest list. ## How It Works 1. Reads the audio file and base64 encodes it 2. Auto-detects authentication: - If ADC is available (gcloud), uses Vertex AI endpoint - Otherwise, uses GEMINI_API_KEY with direct Gemini API 3. Sends to the selected Gemini model with transcription prompt 4. Returns the transcribed text ## Example Integration For Clawdbot voice message handling: ```bash # 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)

Frequently asked questions

Gemini Stt