Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.
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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 voice-recognitionOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install voice-recognitionβ 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/voice-recognition/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Voice Recognition can do for your AI workflow
Local speech-to-text directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,848+ 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 Voice Recognition
Help me get started with Voice Recognition
Explains what Voice Recognition does, walks through the setup, and runs a quick demo based on your current project
Use Voice Recognition to local speech-to-text with OpenAI Whisper CLI
Invokes Voice Recognition with the right parameters and returns the result directly in the conversation
What can I do with Voice Recognition in my design & creative workflow?
Lists the top use cases for Voice Recognition, with example commands for each scenario
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Voice Recognition extends your AI assistant with the ability to local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization. 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 Voice Recognition as its underlying capability.
Voice Recognition 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 Voice Recognition 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.
Voice Recognition installs like any other MCP skill: drop the folder into `~/.claude/skills/voice-recognition/` for global access, or `.claude/skills/voice-recognition/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/voice-recognition`, or let the AI decide when it's the right tool for your request.
Voice Recognition has been installed 1,848 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/voice-recognition/ for personal use (all projects), or .claude/skills/voice-recognition/ for project-specific use. Restart your AI client, then invoke with /voice-recognition or let the AI discover it automatically.
Voice Recognition supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Voice Recognition is free to install. Check the repository for licensing information.
Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization.
Voice Wake Say
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
Voice Transcribe
Transcribe audio files using OpenAI's gpt-4o-mini-transcribe model with vocabulary hints and text replacements. Requires uv (https://docs.astral.sh/uv/).
Voice Reply
Local text-to-speech using Piper voices via sherpa-onnx. 100% offline, no API keys required. Use when user asks for a voice reply, audio response, spoken answer, or wants to hear something read aloud. Supports multiple languages including German (thorsten) and English (ryan) voices. Outputs Telegram-compatible voice notes with [[audio_as_voice]] tag.
Automate my design & creative tasks using Voice Recognition
Identifies repetitive steps in your workflow and sets up Voice Recognition to handle them automatically
Voice Recognition is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.