Send voice messages across chat channels (Telegram, Discord, Feishu/Lark, Signal, WhatsApp, and others) using edge-tts for text-to-speech and ffmpeg for audi...
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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-messageOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install voice-messageβ 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-message/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¬CommunicationPlatforms
What Voice Message can do for your AI workflow
Voice messages across chat directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,148+ 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 Message
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
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Staying on top of communications across multiple channels is a real challenge for modern teams. Voice Message helps by enabling send voice messages across chat channels (telegram, discord, feishu/lark, signal, whatsapp, and others) using edge-tts for text-to-speech and ffmpeg for audi.. directly from your AI assistant, without switching apps or logging into separate platforms.
Voice Message 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 Message 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 Voice Message takes about two minutes. Place the skill at `~/.claude/skills/voice-message/` (personal, all projects) or `.claude/skills/voice-message/` (project-specific), then restart your AI client. From that point, typing `/voice-message` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Voice Message has been installed 1,148 times, making it one of the more actively used skills in the Communication 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-message/ for personal use (all projects), or .claude/skills/voice-message/ for project-specific use. Restart your AI client, then invoke with /voice-message or let the AI discover it automatically.
Voice Message supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Voice Message is free to install. Check the repository for licensing information.
Send voice messages across chat channels (Telegram, Discord, Feishu/Lark, Signal, WhatsApp, and others) using edge-tts for text-to-speech and ffmpeg for audi...
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.
Voice Message is categorized under Communication. These skills help AI agents perform specialized tasks in this domain.