Local STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection.
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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 macos-local-voiceOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install macos-local-voiceβ 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/macos-local-voice/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What macOS Local Voice can do for your AI workflow
Local stt and tts on macos directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,794+ 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 macOS Local Voice
Help me get started with macOS Local Voice
Explains what macOS Local Voice does, walks through the setup, and runs a quick demo based on your current project
Use macOS Local Voice to local STT and TTS on macOS using native Apple capabilities
Invokes macOS Local Voice with the right parameters and returns the result directly in the conversation
What can I do with macOS Local Voice in my design & creative workflow?
Lists the top use cases for macOS Local Voice, with example commands for each scenario
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macOS Local Voice extends your AI assistant with the ability to local STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection. 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 macOS Local Voice as its underlying capability.
macOS Local Voice 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 macOS Local Voice 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.
macOS Local Voice installs like any other MCP skill: drop the folder into `~/.claude/skills/macos-local-voice/` for global access, or `.claude/skills/macos-local-voice/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/macos-local-voice`, or let the AI decide when it's the right tool for your request.
macOS Local Voice has been installed 1,794 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/macos-local-voice/ for personal use (all projects), or .claude/skills/macos-local-voice/ for project-specific use. Restart your AI client, then invoke with /macos-local-voice or let the AI discover it automatically.
macOS Local Voice supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
macOS Local Voice is free to install. Check the repository for licensing information.
Local STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection.
Local Whisper
CuratedLocal speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
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>").
Automate my design & creative tasks using macOS Local Voice
Identifies repetitive steps in your workflow and sets up macOS Local Voice to handle them automatically
macOS Local Voice is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.
Local Places
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.