Transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc).
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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 openrouter-transcribeOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openrouter-transcribeβ 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/openrouter-transcribe/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Transcribe audio files via OpenRouter using audio-capable models can do for your AI workflow
Transcribe audio files via directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,358+ 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 Transcribe audio files via OpenRouter using audio-capable models
Help me get started with Transcribe audio files via OpenRouter using audio-capable models
Explains what Transcribe audio files via OpenRouter using audio-capable models does, walks through the setup, and runs a quick demo based on your current project
Use Transcribe audio files via OpenRouter using audio-capable models to transcribe audio files via OpenRouter using audio-capable models (G...
Invokes Transcribe audio files via OpenRouter using audio-capable models with the right parameters and returns the result directly in the conversation
What can I do with Transcribe audio files via OpenRouter using audio-capable models in my design & creative workflow?
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Transcribe audio files via OpenRouter using audio-capable models extends your AI assistant with the ability to transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc). 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 Transcribe audio files via OpenRouter using audio-capable models as its underlying capability.
Transcribe audio files via OpenRouter using audio-capable models 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 Transcribe audio files via OpenRouter using audio-capable models 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.
To install Transcribe audio files via OpenRouter using audio-capable models, copy the skill folder to `~/.claude/skills/openrouter-transcribe/` for use across all your projects, or `.claude/skills/openrouter-transcribe/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/openrouter-transcribe` or just describe your goal and the AI will pick it up automatically.
Transcribe audio files via OpenRouter using audio-capable models has been installed 3,358 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. 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/openrouter-transcribe/ for personal use (all projects), or .claude/skills/openrouter-transcribe/ for project-specific use. Restart your AI client, then invoke with /openrouter-transcribe or let the AI discover it automatically.
Transcribe audio files via OpenRouter using audio-capable models supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Transcribe audio files via OpenRouter using audio-capable models is free to install. Check the repository for licensing information.
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Transcribee π
Lists the top use cases for Transcribe audio files via OpenRouter using audio-capable models, with example commands for each scenario
Automate my design & creative tasks using Transcribe audio files via OpenRouter using audio-capable models
Identifies repetitive steps in your workflow and sets up Transcribe audio files via OpenRouter using audio-capable models to handle them automatically
Transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc).
Transcribe audio files via OpenRouter using audio-capable models is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.
Transcribe YouTube videos and local audio/video files with speaker diarization. Use when user asks to transcribe a YouTube URL, podcast, video, or audio file. Outputs clean speaker-labeled transcripts ready for LLM analysis.