Agent skill · Backend & API

gemini-stt

Transcribe audio files using Google's Gemini API or Vertex AI

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-stt-clawdbot-skills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/ai-ml/gemini-stt-clawdbot-skills-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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/

What's inside
Steps it walks through
  1. Authentication (choose one)
  2. Option 1: Vertex AI with Application Default Credentials (Recommended)
  3. Option 2: Direct Gemini API Key
  4. Requirements
  5. Supported Formats
  6. Usage
  7. Options
  8. Supported Models
  9. How It Works
  10. Example Integration
  11. Error Handling
  12. Notes
Ships with 1 file
  • metadata.json
Commands it runs
gcloud auth application-default login
gcloud config set project YOUR_PROJECT_ID
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
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About this skill
What does the gemini-stt skill do?

Transcribe audio files using Google's Gemini API or Vertex AI

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-stt-clawdbot-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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