Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
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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 whisper-mlx-localOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install whisper-mlx-localβ 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/whisper-mlx-local/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Local Whisper can do for your AI workflow
Free local speech-to-text directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,958+ 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 Local Whisper
Help me get started with Local Whisper
Explains what Local Whisper does, walks through the setup, and runs a quick demo based on your current project
Use Local Whisper to free local speech-to-text for Telegram and WhatsApp using MLX Whisp...
Invokes Local Whisper with the right parameters and returns the result directly in the conversation
What can I do with Local Whisper in my design & creative workflow?
Lists the top use cases for Local Whisper, with example commands for each scenario
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Local Whisper extends your AI assistant with the ability to free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs. 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 Local Whisper as its underlying capability.
Local Whisper 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 Local Whisper 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.
Local Whisper installs like any other MCP skill: drop the folder into `~/.claude/skills/whisper-mlx-local/` for global access, or `.claude/skills/whisper-mlx-local/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/whisper-mlx-local`, or let the AI decide when it's the right tool for your request.
Local Whisper has been installed 2,958 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/whisper-mlx-local/ for personal use (all projects), or .claude/skills/whisper-mlx-local/ for project-specific use. Restart your AI client, then invoke with /whisper-mlx-local or let the AI discover it automatically.
Local Whisper supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Local Whisper is free to install. Check the repository for licensing information.
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
Automate my design & creative tasks using Local Whisper
Identifies repetitive steps in your workflow and sets up Local Whisper to handle them automatically
Local Whisper is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.
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