Transcribe audio files using Google's Gemini API or Vertex AI
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install gemini-sttOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install gemini-sttβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/gemini-stt/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Gemini STT can do for your AI workflow
Transcribe audio files using directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,065+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Gemini STT
Help me get started with Gemini STT
Explains what Gemini STT does, walks through the setup, and runs a quick demo based on your current project
Use Gemini STT to transcribe audio files using Google's Gemini API or Vertex AI
Invokes Gemini STT with the right parameters and returns the result directly in the conversation
What can I do with Gemini STT in my design & creative workflow?
Lists the top use cases for Gemini STT, with example commands for each scenario
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Gemini STT extends your AI assistant with the ability to transcribe audio files using Google's Gemini API or Vertex AI. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Gemini STT as its underlying capability.
Gemini STT works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Gemini STT once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Gemini STT takes about two minutes. Place the skill at `~/.claude/skills/gemini-stt/` (personal, all projects) or `.claude/skills/gemini-stt/` (project-specific), then restart your AI client. From that point, typing `/gemini-stt` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Gemini STT has been installed 3,065 times, making it one of the more actively used skills in the Design & Creative category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/gemini-stt/ for personal use (all projects), or .claude/skills/gemini-stt/ for project-specific use. Restart your AI client, then invoke with /gemini-stt or let the AI discover it automatically.
Gemini STT supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Gemini STT is free to install. Check the repository for licensing information.
Transcribe audio files using Google's Gemini API or Vertex AI
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